Schema | agentchat-memory

agentchat-memory

Describes the environment variables required to run the server.

Name	Required	Description	Default
No arguments

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Features and capabilities supported by this server

Protocol revision2025-11-25

Capability	Details
`tools`	{}

Functions exposed to the LLM to take actions

Name	Description
memory_loadA	Load memory state for an agent. Call on resurrection/startup.
memory_saveA	Save current memory state to disk. Call before shutdown or periodically.
memory_add_messageB	Add a message to the memory buffer for later summarization.
memory_get_contextA	Get the full rendered context for injection into system prompt.
memory_get_laneB	Get messages from a lane for summarization by external LLM.
memory_apply_summaryB	Apply a lane summary (after LLM summarization).
memory_get_recentB	Get recent messages for persona mining/reflection.
memory_apply_personaC	Apply a persona update (from LLM persona mining).
memory_statusC	Get memory status: persona weights, lane sizes, token estimate.
memory_set_normativeC	Set the normative policy block (soft defaults, evolvable).

Interactive templates invoked by user choice

Name	Description
No prompts

Contextual data attached and managed by the client

Name	Description
No resources

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