List all accessible context spaces, including owned and shared, with each space's memory count.
MIT
522,763 tools. Updated 2026-09-06 13:08
"Multi-Agent Systems with Shared Memory Storage" matching MCP tools:
- Explain A2CR MCP flows: WorkBaton serial handoff, WorkStash temporary memory, and WorkThreads multi-agent collaboration, with encryption and coordination details.Apache 2.0
- Create a shared memory space for multi-agent collaboration with customizable access permissions. Define allowed agents, tags, and description for fine-grained control.MIT
- Retrieve all shared memory pools in the workspace, showing name, access level, member count, and memory count for collaborative agent memory spaces.MIT
- Change a shared memory back to private, removing it from team visibility. Use when a memory should no longer be shared.MIT
- Create shared context spaces for multi-agent collaboration with fine-grained permissions and access control.MIT
Matching MCP Servers
- FlicenseNot gradedqualityCmaintenanceEnables AI agents to share persistent memory via an MCP server using SQLite, supporting multi-tenant, categorized knowledge with TTL and semantic links, without requiring vector databases.-
- AlicenseAqualityAmaintenanceEnables AI coding agents to store and retrieve durable project decisions, conventions, environment notes, and bug fixes in Notion, with optional Obsidian Vault dual-write.6MIT
Matching MCP Connectors
Encrypted A2A object storage for autonomous agent state and artifacts
Cloudflare Workers MCP server: agent-memory
- Write a new memory entry to the shared agent-to-agent memory pool for collaboration between AI agents.MIT
- Design AI agent pipelines and multi-agent orchestration systems by mapping agents, tools, memory, and failure handling into sequence diagrams and responsibility matrices.MIT
- Pull shared memory files into your personal storage. Overwrites local copies if they exist, or use '*' to pull all shared files at once.AGPL 3.0
- Retrieve memory files from Odoo with optional scope filtering for personal, shared, or all records.AGPL 3.0
- Find managed systems with enough free memory and processor capacity for a new LPAR of a specified size, sorted by free memory. Helps choose where to place a new logical partition.MIT
- Join a shared memory room with an invite code to access collaborative memory. After joining, use the returned address as domain for reading and writing shared memories.MIT
- Share personal memory files by copying them to shared storage, enabling colleagues to pull them. Specify a filename or use '*' to share all files.AGPL 3.0
- List all design systems with coordinated components, shared tokens, and utilities. Install any via one CLI command for themes or multi-component builds.MIT
- Read a memory file by its filename. Searches personal memory first, then shared memory.AGPL 3.0
- Sync AI agent memory files with a Git repository to maintain shared project context across multiple agents. Supports initializing, pushing changes, pulling updates, and checking sync status.MIT
- Find memories connected to a memory by shared keys or explicit links, enabling associative navigation through key-graph memory.MIT
- Get memory system stats: total entries, categories, and storage usage. Quickly assess memory state.MIT
- Find lab systems by hardware attributes and ownership. Filter by CPU, memory, architecture, hostname, owner, or pool to identify matching machines.MIT
- Register an agent with identity metadata—type, trust level, and capabilities—to enable multi-agent operations in a knowledge graph memory server.MIT
- Audit multi-agent system communications to detect infinite delegation loops, privilege escalation, data leakage, and unauthorized handoffs across protocols like A2A, CrewAI, LangGraph, and AutoGen.Apache 2.0