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Knos

Knos MCP server

Two contributors, or two agents, changing the same thing without knowing it. Knos is the record of who is on what, and it refuses to answer about work somebody else has already taken.

Read this first

Three MCP tools over stdio, one SQLite file, no server and no network. What makes it different from a memory is that it refuses: ask about work another agent claimed and there is no answer, only who has it. With knos guard --install the refusal reaches the edit itself.

Where the memory is read and written. One file, ~/.knos/<repo>/memory.db, through Sibyl. Every arrow below is a call site you can open, and tests/test_sibyl_is_load_bearing.py deletes the file and asserts the product stops working.

flowchart LR
    CLAIM["knos claim"] -->|"claim_if_free"| DB[("memory.db<br>one SQLite file")]
    TELL["knos remember"] -->|"record, note_thing"| DB
    READ["knos point<br>git log, CLAUDE.md, sessions"] -->|"note_thing"| DB

    DB -->|"search"| ASK["MCP search / about<br>withheld if claimed"]
    DB -->|"claims"| GUARD["guard.check<br>refuses the edit"]
    DB -->|"things, claims"| EXP["knos export<br>.knos/decisions.md"]
    DB -->|"journal, only_here"| ST["knos status"]

    style DB fill:#1f2933,stroke:#7b8794,color:#ffffff
    style ASK fill:#fdf0e8,stroke:#a5744a,color:#111111
    style GUARD fill:#fdf0e8,stroke:#a5744a,color:#111111

Written on the left, read on the right. Delete the box in the middle and everything on the right stops — that is the whole of what "load-bearing" means here, and it is a test rather than a sentence.

Tier

What lives there

Written by

Read by

HOT

the live claim, one row per topic, overwritten

Memory.claim_if_free

mcp.search, guard.check

WARM

decisions, files, named things

Memory.note_thing

answer.ask, knos export

COLD

the journal: what you told it, who stood down, every override

Memory.record

knos status, knos notes

Sibyl's five tiers are used for what they are, not as one key-value bucket: a claim is about now and is overwritten, a decision is a named thing replaced in place, and history is only ever appended to.

flowchart TD
    subgraph DB["memory.db - hard cap 5 MB, Sibyl's free tier"]
        HOT["HOT - the live claim<br>one row per topic, overwritten<br>lapses after 30 min"]
        WARM["WARM - decisions, files, entities<br>named, replaced in place"]
        COLD["COLD - the journal<br>append-only: told, stood down, overridden"]
    end

    HOT -->|"a second agent asks"| NO["withheld<br>+ who holds it"]
    WARM -->|"knos ask"| SRC["answer + file and line"]
    COLD -->|"knos status"| ONLY["how many things exist nowhere else"]
    DB -->|"from 4 MB"| FULL["nearly full<br>at 5 MB a claim is refused in words,<br>never dropped"]

    style DB fill:#1f2933,stroke:#7b8794,color:#ffffff
    style HOT fill:#2b3a44,stroke:#7b8794,color:#ffffff
    style WARM fill:#2b3a44,stroke:#7b8794,color:#ffffff
    style COLD fill:#2b3a44,stroke:#7b8794,color:#ffffff
    style FULL fill:#f5f5f5,stroke:#999999,color:#111111

Five things here that are not elsewhere. Each one is a link, and each one is a command or a test rather than a claim:

  1. A claim withholds the answer, instead of attaching a warning to it. Every other tool's claim is advisory.

  2. The guard refuses the edit in Claude Code, Cursor and OpenCode — through their hooks, which are not MCP.

  3. A hold is bound to the connection that made it, so an agent naming itself the holder is still refused.

  4. Every worktree is one memory, because the store is keyed on git rev-parse --git-common-dir. Tools that key on the worktree root fragment a repo's memory once per tree.

  5. Delete the store and the product stops. Not degrades — stops.

The three stacks, and what each one actually does here.

Stack

What it does in this repo

Where

Check it without installing anything

Sibyl Memory

the store. Every claim, answer, journal entry and export goes through it. Required.

src/knos/memory.py

tests/test_sibyl_is_load_bearing.py deletes it and watches the product fail

Base

knos share ./src --with alice.base.eth records who may read what, onchain, so neither machine trusts the other's copy. Optional, testnet.

contracts/src/Access.sol

contract 0x955fa320…6E52, and deploy / grant / revoke

Virtuals

a Telegram bot that is also a registered ACP provider: it sells one answer out of this store, and pays over x402 for a brief it writes back with knos remember. Runs on the console with no Telegram account. Optional, off by default.

agent/bot.ts, agent/offering.ts, src/knos/buy402.py

the agent page, and job 75659 in two legs: escrow funded, provider paid

Base and Virtuals are optional and off by default — Knos runs with both switched off, and nothing on the read or answer path touches a network (tests/test_no_network.py). Every job traded through the Virtuals provider was bought by a test agent of mine, not by a customer. Details, including what each one does not do: The two onchain parts.

flowchart TD
    DB[("memory.db<br>Sibyl - required")]

    SHARE["knos share ./src --with alice"] -->|"who may read what"| BASE["Base Sepolia<br>Access.sol"]
    BASE -->|"may_read"| DB

    BUY["/brief BTC"] -->|"0.01 USDC over x402<br>Base mainnet"| SELLER["a paid endpoint"]
    SELLER -->|"knos remember - the receipt<br>exists nowhere else"| DB

    DB -->|"knos ask"| SELL["Virtuals ACP offering<br>sells one answer"]

    OFF["both switched off - the default"] -.->|"knos still works"| DB

    style DB fill:#1f2933,stroke:#7b8794,color:#ffffff
    style OFF fill:#f5f5f5,stroke:#999999,color:#111111,stroke-dasharray: 4 3

Every one of those arrows ends at the same SQLite file. That is the point of including them at all: the commerce leg is not a second system beside the memory, it reads and writes the one store, and pytest tests/test_sibyl_is_load_bearing.py takes the file away and asserts none of it works.

The whole loop, in under a minute

pip install knos && knos connect     # once, per machine
knos claim "the parser"              # agent A takes it
# ask any other agent about the parser — it is refused, and told who has it
knos done                            # give it back
knos export                          # writes .knos/decisions.md, commit it

Claim, be refused, release, export. The Action then does the same thing on a pull request, for people who have never installed Knos.

All of it runs without an editor open, as two real processes against one store: pytest tests/test_intent.py -k two_processes. The other half of the proof is tests/test_sibyl_is_load_bearing.py, which takes the store away and asserts that both the withholding and the answers die with it.

Under it is a local MCP server: three tools over stdio — search, about, remember. No HTTP server, no ports, no account, no model download, no repo to register, and no network connection at all: that last one is a test, not a promise.

knos connect adds Knos to Claude Code, Claude Desktop, Cursor and OpenCode — whichever you have, each in the shape it reads (mcpServers for the first three, mcp with "type": "local" for OpenCode). For Claude Code it runs claude mcp add --scope user, which registers the server with the session you are already in, so its tools work immediately with nothing to restart.

For the other three, knos connect writes the config, takes a backup, and prints the one thing left to do: quit the app and start it again. Nothing in the MCP spec lets a server register itself with a session that is already running. The exact keystroke per client, the Claude Desktop extension, the Claude Code plugin and the by-hand JSON are all in docs/connect.md.

The first thing an agent asks about a repo reads it. Seven cold runs each, whole process, Windows on a spinning disk (WSL on the same box: 3.4s median on a small repo): 1.7s median on a small project (1.5-2.1), 2.0s on goose (1.8-3.4), 3.1s on the Linux kernel (3.0-6.8) — 93,703 tracked files. What it does in that time is one git log, your CLAUDE.md, and the transcripts of past sessions in that tree, written to SQLite. It happens once. Every question after it is under 0.2s, and every agent you have shares the result.

Related MCP server: memmd-mcp

What a claim does here

Claude Code is rewriting the risk guard. You ask Cursor about it.

Every tool in the table below answers, and Cursor gives you a confident plan built on the version that was on disk five minutes ago. Knos does this instead:

Withheld. risk guard (held by Claude Code) is being worked on right now,
so knos is not the place you find out about it. Ask them, or work on
something else.

Not a warning attached to the answer — no answer. Your agent can still take it, by saying why, and the reason is written down under its name where you will read it. knos done releases it, and so does half an hour.

knos guard --install takes that one step earlier: the same claim, consulted when an agent reaches for the file rather than when it asks a question, so the edit itself is refused. Claude Code, Cursor and OpenCode all run a hook before a tool call and a hook can say no. It is off until you ask for it, and knos guard --uninstall takes it back out — details in What it cannot do.

What a claim covers. A claim and a question are treated as the same subject when they share a word stem, and identifiers are split into their parts first, so a claim on the risk guard covers risk_guard.py. The claim is matched against the passages the question would have returned as well as against the question itself, so rewording the question does not get past it — asking why do we cap trades? while the risk guard is claimed is withheld like the plain question. This is word matching, not meaning: a question that shares no stem with the claim and returns no passage that does will still be answered. Check it: pytest tests/test_intent.py -k "paraphrased or reaches_the_file".

search withholds. about is a named lookup and does not: it answers, with the holder's name and how long ago they started shown above the answer.

Every cell below comes from that tool's own README or documentation page, so you can check each one:

To install

MCP tools

Needs

Refuses to answer about work another agent claimed

CLAUDE.md + worktrees

nothing

no

agentmemory

npx -y @agentmemory/agentmemory@latest

54 (8 in core mode)

a server on ports 3111/3112/3113/49134

no — memory_lease locks an action an agent chooses to take

mcp-local-memory

npx entry in your config

18

may download an embedding model

no

Engram

brew install + engram setup <agent>

16

nothing — one binary

not addressed

MemPalace

uv tool install mempalace + init + mine

45

~300 MB embedding model

no — separate wings per agent

Hindsight

docker run … or pip

3 per bank

Postgres + pgvector + an LLM API key

no — banks are isolated by design

Vibsync

remote MCP URL + an account

claim/release, check_conflicts, remember/recall, task board

a hosted server

no — its own page: "cooperative, not enforced — a rogue agent can still ignore it"

CoordMCP

pip install coordmcp

52

a coordination server running

no — lock_files blocks edits, not reads

Memryzed

curl -fsSL https://memryzed.com/install.sh | bash

9

nothing — one SQLite file

not addressed

Agent Claim MCP

npx entry in your config

3

nothing

no — and it is not a memory system: claims only, no sessions or decisions

Agent Mail

curl … install.sh | bash

45 (plus 25 resources)

a listener on 127.0.0.1:8765

no — reservations are advisory; its git hook blocks a commit, and the memory stays fully readable

Knos

pip install knos && knos connect

3

nothing

yes

Knos is not the only tool with claims, and that column would be dishonest if it implied so. Vibsync, CoordMCP, AgentRoom and Agent Claim MCP all let an agent claim something; agentmemory has leases. The difference is what a claim does. Everywhere else it is a signal about a file, which an agent may check before editing and may ignore — Vibsync says so itself, and CoordMCP's locks stop edits while the memory stays fully readable. Knos changes what the memory says: ask about work someone else claimed and there is no answer to act on, and the claim is bound to the connection that made it, so an agent naming itself the holder is still refused.

Three of these are worth your attention for reasons other than that column. Memryzed is local, keyless and one SQLite file — the same shape as Knos, with more recall tools and no coordination. Vibsync is the only one that shares a claim across machines, which Knos does not: a committed .knos/decisions.md is as far as a claim travels here. Agent Mail is the closest thing to a competitor on enforcement, and on one axis it goes further than Knos: its pre-commit git hook refuses a commit that touches files another agent has reserved. Knos refuses the answer; Agent Mail refuses the commit, by which point the work is already done. Neither of them stops the keystroke. Both are worth knowing about, and Agent Mail costs a listener on port 8765 and 45 tools where this costs neither.

Knos is not trying to out-remember these tools. It is trying to be the one that speaks up while two agents are in the same code, and to cost you two commands and three tools to find out.

One agent is enough to see it

knos claim "the parser"

Ask your agent about the parser. It is refused, and tells you so. knos done and it answers again. That is the whole mechanism, in two commands.

flowchart TD
    P["pip install knos<br>knos connect"] --> CC["Claude Code"]
    P --> CU["Cursor"]
    P --> CD["Claude Desktop"]
    P --> OC["OpenCode"]

    CC -->|"first question reads the repo"| S[("one SQLite file<br>no server, no model")]
    CU --> S
    CD --> S
    OC --> S

    R["CLAUDE.md, AGENTS.md, ADRs<br>commits, past sessions"] --> S
    W["every worktree of this repo"] --> S

    S -->|"answers, with the source"| CC
    S -->|"withheld - Claude Code is on it"| CU

    style S fill:#1f2933,stroke:#7b8794,color:#ffffff
    style P fill:#e8f0fe,stroke:#4a6fa5,color:#111111
    style R fill:#f5f5f5,stroke:#999999,color:#111111
    style W fill:#f5f5f5,stroke:#999999,color:#111111

Every arrow above is a command you can run: the withheld one is knos claim "the parser" then asking a second agent, and pytest tests/test_intent.py -k withholds_the_answer is the same thing as a test.

What breaks without the store

Every capability below reads or writes the one SQLite file. The middle column is the command that exercises it; the right column is where it touches the store. pytest tests/test_sibyl_is_load_bearing.py takes the file away and asserts the first three rows stop working.

Capability

Run it

Where it touches the store

A claim is taken, once, atomically

knos claim "the parser"

Memory.claim_if_free — compare-and-swap into HOT state, src/knos/memory.py

A second agent is refused

ask any other agent about it

mcp.search_being_worked_on reads HOT, src/knos/mcp.py

Who stood down, and who overrode

knos status

COLD journal via Memory.stood_down / _took_it_anyway

What you told it

knos remember "..."

Memory.record → journal, Memory.note_thing → WARM entity

Decisions shared with the repo

knos export

WARM + HOT read out into .knos/decisions.md

A brief bought over x402

/brief BTC in the bot

knos remember after payment — the receipt exists nowhere else

An ACP deliverable

a buyer funds a job

agent/offering.ts shells to knos ask, which reads the store

How full it is, and what dies

knos status

Memory.size_mb, Memory.only_here

The claim lives in HOT because it is about now and is overwritten, not appended. Decisions live in WARM because they are named things replaced in place. History lives in COLD because it is append-only. That is Sibyl's schema used as intended rather than as a key-value bucket, and knos status prints the tiers by name.

How memory made this possible

Knos is not a tool that happens to save things. Take Sibyl out and there is no product left to run.

The claim lives in the store. That is the whole mechanism: one agent writes that it is changing something, and another agent whose question or whose answer touches that subject is handed the holder's name instead. Delete the file and there is nothing to read, so nothing is withheld, so two agents edit the same thing and neither is told. The refusal is not a rule enforced in code somewhere else — it is a read of the store, and it fails when the read fails.

The same file is the only copy of three other things. What you told it with knos remember. The brief the agent paid for over x402, which was bought once and exists nowhere else on the machine. The ACP job it sold, and what it sold. Your commits and your CLAUDE.md come back after a delete, because those are your files; none of these do.

knos status prints that number directly — how many things exist nowhere else. The table in What breaks without the store names the call site for each one, and tests/test_sibyl_is_load_bearing.py runs the test a sceptic would run first: remove the memory, watch the product fail.

Share it with the repo, not a server

Everything above is local. Two things, though, exist nowhere a teammate can reach — what somebody decided, and what somebody is working on right now. So those go in the repository, as a file you commit:

knos export        # writes .knos/decisions.md
git add .knos && git commit -m "share decisions"

If your repo already keeps decisions somewhere, write there instead:

knos export --to docs/decisions/0001-knos.md

Knos reads .knos/decisions.md, DECISIONS.md, WORKLOG.md and docs/adr/*.md back on the next question, so any of those close the loop with no configuration. Anywhere else is still written and still worth committing, and knos export tells you it will not be read back rather than letting you find out later.

That one file is the whole mechanism. It is markdown, it diffs in review, and three different kinds of reader consume it without installing anything:

  • A teammate clones and asks. .knos/decisions.md is one of the decision records Knos already reads, so a clean clone answers from it on its first question — no install, no sync, no account, no server between the two machines (pytest tests/test_shared_repo.py -k second_clean_clone).

  • Every agent on their machine reads it too, through the same three MCP tools, on the same first question. A contributor who has never heard of Knos still gets your decisions, because their agent asks and the file is already in the checkout.

  • CI reads it on a pull request and says so when the branch touches work somebody has claimed (pytest tests/test_shared_repo.py -k ci_warns).

The comment is a heads-up, never a failure — action/knos_pr_check.py exits 0 on every path, including when it finds a conflict and when it crashes. The workflow is eight lines: The pull request check.

It runs both ways, and that is the part that compounds. The teammate who cloned runs knos export too. Their decisions and their claims land in the same file, you pull, and your agents read what they decided while you were not looking. Every contributor writes to the file and reads from it, so it holds more after each one than before. The repository is the shared object: there is no database of ours, no protocol to adopt, and no server to pay for.

Secrets do not travel: a note about .env is filtered out of the exported file by the same check that hides .env from an agent (pytest tests/test_shared_repo.py -k private_note).

Nothing outside this repository has adopted it yet. The loop is implemented and tested, six tests in tests/test_shared_repo.py. That is a mechanism that works, not a network that exists.

The pull request check

Everything above is local. This is the half that needs nothing installed — one file in your repo, and it never fails a build:

# .github/workflows/knos-claims.yml
on: [pull_request]
permissions: { contents: read, pull-requests: write }
jobs:
  claims:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
      - uses: drexthealpha/Knos/action@v0.1.5

It reads .knos/decisions.md — a file a maintainer commits — and comments when a branch touches work somebody has claimed or a decision already recorded. It exits 0 on every path, including every failure path (pytest tests/test_shared_repo.py -k never_returns_non_zero). The tag is pinned rather than a branch, so what runs in your CI is a fixed file you can read: git show v0.1.5:action/knos_pr_check.py.

You can watch it having run rather than take this on trust: it fired on pull request #1 in this repository, matched a claim standing in .knos/decisions.md, named who held it, and exited 0. The comment is still on the thread.

The three folders, so nothing here is a surprise. src/knos/ is the product: the MCP server, the claim, the withhold, knos export. action/ is the pull request check above. agent/ is a Telegram bot that is also a registered Virtuals agent — it pays for things over x402 on Base and sells answers as ACP jobs, and every one of those paths reads and writes the same store. It is the commerce leg, not the product; Knos works with it switched off, which is the default. contracts/ is one Solidity file behind knos share. Details in The two onchain parts.

pull_request_target works too, if you want the check on pull requests from forks: the Action reads only the committed .knos/decisions.md and the pull request's own title, body and file list, and never checks out or runs anything from the head branch.

Who this is for, and the pain they have written down

The audience is maintainers and contributors on repositories where more than one coding agent touches the same tree — a person running Claude Code in the terminal and Cursor in the editor, a team whose contributors point agents at the same issue, or a repository that accepts agent-written pull requests. They share one failure: two agents change the same thing, neither is told, and it surfaces at merge.

Nothing below is about Knos. These are their own open issues, in their own repositories, filed by people who have never heard of it. Every one was open when this was written; each link resolves in a click.

The first two are the sharpest: openai/codex has an open request for a record of what each agent intends to edit, so that two of them do not edit the same thing. That is the mechanism in What a claim does here, asked for by somebody else, in a repository with 121,000 stars.

One repository coordinating agents through a GitHub issue, today

tsz-org/tsz runs its agents against a claim board: issue #17314, open, with 1,133 comments. It succeeded #15994, which was forked after hitting the 2,500-comment cap. Agents post CLAIM, DONE, DROP and BLOCK lines and are expected to read the thread before starting, and its standing notes record what goes wrong: sessions that end on a live claim with no closing record, and two claims naming one defect in different words.

That is this product's job, done by hand in a comment thread, at a size where reading it before every edit has stopped being possible.

What this is and is not. It is evidence that the problem is real and that people with large audiences have written it down. It is not evidence that anybody uses Knos. No repository outside this one has adopted it. The loop is implemented and tested — six tests in tests/test_shared_repo.py — which makes it a mechanism that works, not a network that exists.

Check any of it in under a minute

Nothing here is a claim. Each row is a command; run it and see. The commands are checked by a test, so a renamed test fails the suite rather than leaving a dead instruction here (pytest tests/test_cli.py -k every_check_command).

What

How to check it yourself

A claim changes what other agents are told

knos claim "the parser" — it prints the exact refusal your agents now get. knos done gives it back.

One agent's claim reaches another agent's live session, with no restart or cache

pytest tests/test_no_network.py -k live_session — one process claims, a second sees it on its next call

No network connection, ever

pytest tests/test_no_network.py — breaks socket.connect, bind, create_connection, getaddrinfo, then reads a repo, answers, writes, claims, withholds, overrides. A third test breaks the guard on purpose, so it cannot pass by doing nothing

Decisions you keep in the repo are read

pytest tests/test_rules.py -k decisions_kept_beside — an ADR answers with docs/adr/0001-use-sqlite.md:3

Every worktree of a repo is one memory

pytest tests/test_worktrees.py

A big repo is never half-read

pytest tests/test_worktrees.py -k runs_out_of_time — both readers, forced to time out, leave nothing behind

Secrets are invisible, not redacted

pytest tests/test_private.py — the search layer is asked directly, with an agent's identity

Three MCP tools, no more

pytest tests/test_recall.py -k three_tools_are_listed

Two agents cannot both hold the same claim

pytest tests/test_intent.py -k two_processes — two real processes race for one topic; one wins, the other is told who has it

A crashed agent cannot hold work forever

pytest tests/test_intent.py -k lapses

A reworded question is withheld too

pytest tests/test_intent.py -k paraphrasedthe risk guard is claimed, the question shares no word with it, the answer is still refused

A claim reaches the file it names

pytest tests/test_intent.py -k reaches_the_filethe risk guard covers risk_guard.py, and still does not cover safeguarding

Every command has a knos help page

pytest tests/test_cli.py -k has_a_help_page

The pull request check can never fail a build

pytest tests/test_shared_repo.py -k never_returns_non_zero

CI comments on decisions, not only claims

pytest tests/test_shared_repo.py -k reports_decisions

A full store refuses a claim rather than dropping it

pytest tests/test_sibyl_is_load_bearing.py -k full_store

knos status says how many claims are held

pytest tests/test_sibyl_is_load_bearing.py -k counts_the_claims

knos connect names the exact restart per client

pytest tests/test_cli.py -k exact_restart

Cost: pip install knos. No account, no key, no server, no model download, no network request, and a 5 MB free-tier cap per repo.

Everything else, briefly

Every answer names where it came from — a commit, a session and a date, or a file and a line. Knos has no model: it does not summarise and it does not guess, it finds what somebody actually said.

$ knos ask "what are the rules here?"

Ask before adding a dependency. The build is the product.
    AGENTS.md:3
Every change ships with a test. A green run you did not watch is not green.
    CLAUDE.md:8

Source

From

Your rules

CLAUDE.md, AGENTS.md

Decisions in the repo

.knos/decisions.md, DECISIONS.md, WORKLOG.md, docs/adr/*.md, docs/decisions/*.md

Agent sessions

Claude Code transcripts, Cursor's history

Commits

git log

Code structure

read by Knos itself, or universal-ctags when you have it

What you tell it

knos remember

What is covered, and what is not

Knos is wired into 4 clients and reads the past session history of 2. Both numbers are the honest ones:

Client

MCP tools

Reads its past sessions

Claude Code

yes, no restart

yes

Cursor

yes

yes

Claude Desktop

yes

no

OpenCode

yes

no

Hermes Agent

via knos-hermes

no

Gemini CLI, Codex, Windsurf, Aider, Continue

no

no

Wiring a client is three edits and a test — CONTRIBUTING.md has them, with OpenCode as the worked example. A session reader is about 40 lines: Codex CLI and Gemini CLI are the two missing ones, each a small parser plus one test, written up in .github/GOOD_FIRST_ISSUES.md.

Knos does not have memory of every local workflow, and does not claim to.

.env, *.pem, id_rsa, .ssh, .aws and twelve more are private the moment Knos reads a repo, without being asked. Private means invisible, not redacted: an agent asking about one is told nothing at all — no result, no count, no "2 hidden".

Worktrees. Keep them; they do a different job, and Knos treats every worktree of a repo as one memory anyway. Read the repo in one tree and every other tree can answer. Claim in one and the agents in the others are held off.

The whole mechanism is one git command. git rev-parse --show-toplevel returns the worktree root, so every worktree looks like a different project; git rev-parse --git-common-dir returns the git directory the worktrees share, which is identical across all of them. Knos keys the store on the second. Tools that key on the first fragment a repo's memory once per worktree — that bug, in another tool. Check it: pytest tests/test_worktrees.py.

A claim lapses after 30 minutes. An agent that crashes mid-change never calls knos done. If the claim outlived the process, that work would be unaskable until a person noticed and cleared it by hand. Instead the hold expires on its own, and the next agent to ask gets a real answer. Taking a claim is a compare-and-swap, not a blind write, so two agents reaching for the same work in the same second do not both believe they have it: one wins, the other is told who holds it. Check both: pytest tests/test_intent.py -k "lapses or two_processes".

Five tiers, one file, a hard 5 MB cap. Sibyl's schema is not a black box Knos writes blobs into — it uses the tiers for what they are. Live claims go in HOT, one row per topic, overwritten rather than appended. Decisions and files go in WARM. History goes in COLD, append-only. The whole thing is capped at 5 MB by Sibyl's free tier, and knos status prints the size and says nearly full from 4 MB, so a store that is filling up tells you before it stops taking writes rather than after (pytest tests/test_sibyl_is_load_bearing.py -k cap_and_warns). At 5 MB a claim is refused in words, not dropped: an agent that thinks it holds work it does not is the exact failure this whole feature exists to prevent (pytest tests/test_sibyl_is_load_bearing.py -k full_store).

Commands. knos ask, knos claim, knos done, knos status, knos export. knos help lists the rest. Nothing runs itself: no watcher, no daemon, no schedule.

Speed, on the one question this is for

"What was decided, and is anyone on it?" — warm, whole process, median of 7:

Knos

git log --all -S

small repo

960ms

33ms

Linux kernel (93,703 files)

920ms

28,289ms

Git wins on a small repo and it is not close. Knos's time is flat with repo size because it reads an index rather than walking history; git's grows with it. On the kernel that is 30x, and most of Knos's 900ms is Python starting up.

Knos is not faster than git at anything git is for, and a cold first read of a large repo is slower than either — 3.1s median, stated above.

What agents actually read. A study of 557 agent sessions and 33,097 pull requests measured that 60.5% of everything coding agents do with documentation happens in instruction files and their own notes — CLAUDE.md, AGENTS.md, plans, scratch notes — against 10.6% for classical docs and 1.3% for API references (Gao & Chen, 2026).

That is a measurement of where agents spend their documentation time, and it is the whole of what the paper is cited for here. The paper itself states that the link between what agents consult and what they edit is unresolved. It does not study Knos, does not say a tool like Knos is needed, and is not evidence that anyone will adopt one.

Knos is one practical response to that measured behaviour: it reads those same instruction files as a source and answers from them with a file and a line. Two other things are true on their own account, and the paper is not the reason to believe either — a file cannot say who is reading it, and it cannot say what another agent is changing right now.

What happens when you delete the memory

One SQLite file at ~/.knos/<repo>/memory.db, via Sibyl, capped at 5 MB per repo — Sibyl's free tier, and Knos runs it unactivated, so there is no account to make and no cap to raise. Sessions and commits are read newest first, so when a repo fills, what you have is the recent end of both and the older end was never read. Nothing already stored is evicted or truncated, and knos status says nearly full from 4 MB. The Linux kernel filled 0.3 MB.

Nothing leaves this machine — Knos makes no network request. Delete that file and:

Gone forever

Why

What you told it (remember)

yes

it existed nowhere else

Every claim, and the withholding

yes

same

Who stood down for whom, every override

yes

same

Your commits, CLAUDE.md, past sessions

no — re-read

they are your files, not Knos's

knos status counts that first row for you, so you never take it on trust:

journal    330 things learned
             0 of them exist nowhere else - told, claimed, stood down
             delete the store and only those go; the rest is re-read from your repo

Ten seconds to prove it: claim something, watch an agent be refused, delete the file, ask again. Nothing was ever held.

More on the five tiers, why a claim expires, and how a hold is bound to a connection so an agent cannot borrow somebody else's name: docs/core-flow.md.

The two onchain parts, and exactly what they are

Both are optional. Knos works with neither, and nothing on the read or answer path touches a network — that is what pytest tests/test_no_network.py checks.

Base: sharing one folder with a teammate

knos share ./src --with alice.base.eth
knos unshare ./src --with alice.base.eth

What it does. Their agent can read that folder and nothing else. The record of who may read what is Access.sol on Base Sepolia, so neither machine has to trust the other's copy of the answer. Testnet, so it costs nothing.

What it does not do. It does not move your memory anywhere — the store stays on your disk. It does not encrypt anything. It is one permission bit per person per folder, not a sync protocol.

How to verify it. Two commands and one number each way:

python -c "from knos import team; o=team.identity('owner').address; m=team.identity('teammate').address; \
team.share('crates','teammate'); print(team.may_read(o,'crates',m)); \
team.unshare('crates','teammate'); print(team.may_read(o,'crates',m))"
# True
# False

Or read it without running anything: contract 0x955fa320…6E52, and one full cycle — deploy, grant, revoke. Nine contract tests: cd contracts && forge test.

Virtuals: selling one answer

What it does. Knos is registered on the Virtuals marketplace as a provider with one offering: another agent pays 0.01 USDC for an answer out of this machine's memory. The seller is agent/offering.ts.

agent/bot.ts is that same agent with a chat face, in one process: it answers ACP jobs, it answers /ask out of the same store, and /brief buys something over x402 on Base and writes what it bought back with knos remember, so the next agent on the machine gets it without paying. Every one of those paths reads or writes the same SQLite file — pytest tests/test_sibyl_is_load_bearing.py takes it away and asserts none of them work.

Started with no Telegram token it reads commands from the console, so the whole thing runs without an account. This is the same handler Telegram calls, wired to stdout, so what a person sees in the chat is what prints here:

$ npm --prefix agent run bot -- /status
Knos - one memory every coding agent here shares.

Nothing is claimed, so nothing is being withheld.

10 things written down that exist nowhere else
0.5 MB of 5 MB used
Shared by: Claude Code, Cursor

Delete the store and only those 10 go. Everything else is re-read from the repo.

<b> markers around the bold words are left out above; Telegram renders them and a terminal prints them literally. /help lists the five commands, and an unrecognised one is answered rather than ignored - tests/test_bot.py.

The x402 half is live on Base mainnet. /brief BTC pays 0.01 USDC to x402-seller's market-regime endpoint and writes what it bought into the store with its receipt. Five settled so far, signed by 0xEca35a0C…48C1: 0x2ce6af5c…, 0x20983f7b…. The client is src/knos/buy402.py, which signs with the keystore knos made itself — there is no private key in any config file.

Two routes on that seller, /markets and /signal, return 502 after the 402. They cost nothing (the payment never settles) but they are why /brief is the only route wired in.

What it does not do. There is no evaluator and no reputation system, and every job traded through it was bought by a test agent of mine, not by a customer. It is off by default and runs only when you start it.

How to verify it. The agent page is public — open app.virtuals.io/acp/agents/01a05b97… and you will see the registration without installing anything. Job 75659 is on Base mainnet, in two legs, neither of which needs an account to read: buyer pays 0.01 USDC into escrow, then escrow releases 0.0095 to the provider — the missing 5% is the protocol's fee.

It was asked why does knos withhold claimed work, and what it sold, in 180ms, was a passage out of a session from four days earlier:

knos withholds what it knows. A second agent searching claimed work gets who holds it and nothing else — the content is absent from the reply, not annotated. — Claude Code session 4101eeab 2026-08-31

Nobody re-typed that. Another agent paid a penny and a fresh process read it back with its source. The buyer was knos-buyer, an agent of mine registered to prove the path executes. It is not demand.

Tests

pytest runs the critical path only — claim, withhold, concurrency, no-network, three tools, private files — 14 tests in well under a minute, because a suite you wait four minutes for is one you stop running. The whole suite is pytest -m "": 252 tests, five to twelve minutes depending on what else the machine is doing - it was ten on the machine this was last run on. Both counts come from pytest --collect-only -q, so pytest --collect-only -q -m "" | tail -1 is the check. The contract has 9 more: cd contracts && forge test.

Including the ones that would catch a lie:

  • test_no_network.py breaks socket.connect, bind and getaddrinfo, then reads a repo, answers questions, writes, claims, withholds and overrides. Nothing reaches for the network, and the guard itself is tested so the test cannot pass by doing nothing.

  • test_private.py asks the search layer directly, with an agent's identity, for a private path. Nothing comes back.

  • test_memory.py has a second process write a conflict, rejected by the schema rather than by Knos.

  • test_recall.py writes as one agent and recalls in a separate, fresh process.

What it cannot do

  • Without knos guard --install, a claim withholds what Knos knows and nothing more: it does not stop an agent editing a file. That is the honest limit of MCP, which gives a server no way to see an edit, let alone refuse one.

  • With the guard, the refusal covers the edit in Claude Code, Cursor and OpenCode — and only those three, through their hook systems, which are not MCP. Claude Desktop has no hooks and is not covered. Nothing covers an editor a person types in themselves, or sed, or any tool that never asks.

  • The guard reads only the rules a machine can check: a prohibition with a path in backticks. "Never edit src/generated/" is enforced; "write idiomatic code" is not, and Knos does not guess at what it might mean.

  • The guard fails open. If the store cannot be read, the edit is allowed. A broken install standing between somebody and their own repository is a worse failure than the collision the guard exists to prevent.

  • Claude Code and Cursor only. No Gemini CLI or Codex history yet.

  • It does not write the answer for you, and it does not watch files. Run knos point again to catch up.

  • Retrieval is lexical, not semantic. Sibyl searches with SQLite FTS5, so Knos finds passages containing your words and ranks those. Ask about something the sessions never discussed and you get confident, well-sourced passages that share a word with your question and nothing else: "why did we drop redis" matches every note about dropping something. Ask in the words the work was done in and it is sharp. There are no embeddings at any Sibyl tier — the paid tier adds summarising and a learning loop, not search.

  • 5 MB per repo.

  • Four jobs have been traded through the Virtuals provider, all bought by a test agent of mine. Nobody else has bought anything.

Contributing

CONTRIBUTING.md has the three edits an agent adapter takes and the test to copy. pytest runs the critical path in about 25 seconds; pytest -m "" runs all of it in about four minutes, against throwaway stores.

Prior work

Knos is not a fork and not a clone. There is no earlier repository, no upstream project, and no pre-existing memory layer that Sibyl was added to. Every line here is original work under MIT, and the commit history is the whole record.

The core was written locally before the window and first published on 1 September; everything after is dated in the log.

Dependencies, and what each is for. Sibyl Memory (sibyl-memory-client) is the store, and it is load-bearing — see What breaks without the store. The MCP Python SDK provides the server. universal-ctags is optional; without it Knos falls back to a reader it carries itself. The Virtuals ACP SDK and the x402 client are used only by agent/, which is the commerce leg rather than the product.

The name

Knos is pronounced like knows, and the crow is the reason. Crows cache food in thousands of places, remember which caches they made, and remember which other crows were watching when they made them — then move the ones that were seen. Memory, and knowing who else is in your business. A group of them is called a murder, which is either apt or a warning, depending on how many agents you are running.

Licence

MIT.

Available Tools

3 tools
aboutA

What is known about one thing: a file, a person, a topic.

ParametersJSON Schema
NameRequiredDescriptionDefault
thingYes

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.5/5.0
Behavior3/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden of disclosing behavior. 'What is known' suggests a read-only retrieval operation, which is useful, but it does not state what happens for unknown entities, whether any side effects occur, or whether special permissions/identifiers are needed.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness5/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is a single clear sentence with no filler, and the core semantic ('what is known about one thing') is front-loaded. It earns its place without redundant phrasing.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a single-parameter tool with an output schema present, the description is minimally adequate: it names the input concept and implies retrieval. But it leaves the parameter format ambiguous and gives no routing guidance relative to 'search' and 'remember', which are the main completeness gaps.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema provides only a required property named 'thing' with no description, so schema coverage is 0%. The description partially compensates by defining the parameter as a file, person, or topic, but it does not specify the expected format, identifier type, or how to distinguish between those referent kinds.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description conveys a lookup-style tool for a single referent ('What is known about one thing') and gives concrete examples ('a file, a person, a topic') that clarify the resource scope. It is distinguishable from the siblings 'search' and 'remember' by emphasizing facts about one entity rather than discovering or storing, though it does not name the siblings directly and uses the vague word 'thing'.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

Usage is implied: use this tool when you need known information about a single file, person, or topic. However, there is no explicit guidance about when to prefer 'search' for broader discovery or 'remember' for storing knowledge, and the siblings are not mentioned in the description.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

rememberA

Write something back, so the next session in any agent knows it too.

Set `claiming` when you are about to start work on this, rather than
just noting something. Other agents are then told you have it and knos
withholds it from them until you finish or half an hour passes. Writing
a plain fact claims nothing: a note everybody can read is the point.
ParametersJSON Schema
NameRequiredDescriptionDefault
factYes
aboutYes
claimingNo

Output Schema

ParametersJSON Schema
NameRequiredDescription
resultYes

TDQS

A3.8/5.0
Behavior5/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

There are no annotations, so the description carries the full burden. It goes beyond the schema by disclosing that claimed facts are withheld from other agents, that the claim releases when work finishes or after half an hour, and that plain facts are readable by everyone. This is meaningful, non-obvious behavior.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is short and front-loaded: purpose first, then only the claiming nuance that materially affects how the tool behaves. It is not bloated, though the typo 'knos' is a minor polish issue.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness3/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

The essential write-and-claim semantics are well covered, and because an output schema exists, return values need not be described. However, given the locking/timeout complexity and no annotations, a complete definition should also explain the required 'about' parameter and perhaps give an example of a fact/about pair.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

Schema description coverage is 0%, so the description must explain parameters. It thoroughly explains 'claiming' and clarifies that a 'plain fact' is a shared note, but it never defines the required 'about' parameter or the expected shape/scope of 'fact'. This partial compensation leaves one required parameter ambiguous.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose4/5

Does the description clearly state what the tool does and how it differs from similar tools?

The first sentence identifies a concrete action — 'Write something back' so future sessions know it — and the rest clarifies that this is a shared note versus a claimed work item, which separates storing from searching. The resource is a bit vague ('something'), but the required fact/about parameters and the write-vs-claim distinction make the core purpose clear.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The overall use case is implied: persist information so a future session can read it. It gives clear advice on setting 'claiming' when starting work instead of merely recording a fact, but it never explicitly contrasts this tool with the sibling tools 'search' or 'about' or states when not to use remember.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.

  1. 3 tool updatesv0.1.2
    • First observedabout
    • First observedremember
    • First observedsearch

TDQS

A3.9/5.0
Disambiguation4/5

search and about both query stored knowledge, so an agent could initially confuse a broad search with an entity-focused lookup, but the descriptions make the distinction clear: search returns provenance-backed results from repo memory, while about targets one thing. remember is wholly separate as a write operation.

Naming Consistency4/5

All tool names are lowercase single words, creating a simple and consistent style; search and remember are clear verbs, while about is more of a query noun/preposition, slightly deviating from a strict verb pattern.

Tool Count5/5

Three tools is well-scoped for a focused memory/knowledge server: query broadly, query a single entity, and write back. Each tool has a distinct role and none feel redundant or missing at this level of abstraction.

Completeness4/5

The core read/write/query lifecycle for shared repo memory is covered, and claimed work handling is integrated into search and remember. Minor gaps exist around updating or forgetting explicit memories, but agents can work around these with search.

Maintenance

ActivityMaintained
ResponsivenessNo issues

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