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Agenticmemory

io.github.jyswee/agenticmemory
Persistent memory for AI agents — history, context, semantic search, queues. 17 tools, stdio/SSE.
healthy
status
17
tools exposed
2506ms
connect latency
2c9534b90b63
schema fingerprint

Tools (17)

memory_store
Store a message in conversation history. Use for remembering what just happened.
memory_store_batch
Store multiple messages at once.
memory_recall
Recall recent messages from conversation history. Returns newest first.
memory_clear
Clear all messages in a memory space.
memory_search
Semantic search across past conversations. Finds by meaning, not keywords.
context_set
Set a key-value context entry. Stores structured data (JSON or string).
context_get
Get a context value by key.
context_list
List all context keys and values in a space.
context_delete
Delete a context key.
entry_add
Add a long-term memory entry (summary, decision, extraction, artifact).
entries_list
List long-term memory entries. Filter by tags.
spaces_list
List all memory spaces owned by this API key.
spaces_create
Create a new memory space.
queue_push
Enqueue a JSON envelope onto a FIFO queue in a memory space. Use to send work/events to other agents sharing the space.
queue_pop
Dequeue the oldest envelope from a FIFO queue (returns null if empty). Set wait (max 25s) to long-poll for the next envelope.
queue_peek
Peek at a queue without consuming: returns length and the head envelope.
memory_bootstrap
Load full context in one call: recent messages, entries, context, scratchpad. Run this at session start.

Endpoint

https://mcp.agenticmemory.ai/sse
Category: AI & LLM · Last checked: 2026-08-15T09:57:10Z

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What this means. This server responded to the MCP handshake and listed its tools without authentication. The schema fingerprint lets us flag if tool signatures silently change (schema drift) between checks.