memex

Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

Connector by ayushagrawal288 · GitHub account verified by the MCP Registry

IndexedMITRemote (HTTP)★ 1

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Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

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Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 2 read · 1 write · 1 delete
Secrets: None asked for
Install scripts: Not scanned yet
Runs as: Docker image

Tools by what they do 4

Read from the source code; the running server may list different tools.

Read 2 · Look things up without changing anything.

count_memories
search_memories

Write 1 · Create, change, send or run things.

store_memory

Delete 1 · Delete, drop, revoke or wipe things.

delete_memory

Tools (4)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

count_memories
Return the total number of stored memories for an agent/user pair. Args: agent_id: Agent identifier. user_id: User identifier.
delete_memory
Delete a specific memory by ID. The agent_id is used as an ownership check — agents cannot delete each other's memories. Args: agent_id: Agent that owns the memory. memory_id: UUID of the memory to delete (from store_memory or search_memories).
search_memories
Search memories using semantic similarity + recency decay. Returns top-k ranked results with scores. Args: agent_id: Agent whose memories to search. user_id: User whose memories to search. query: Natural language description of what to recall. top_k: Number of memories to return (1–50). Default: 5. alpha: Blend weight 0.0–1.0. 1.0 = pure semantic, 0.0 = pure recency. Default: 0.7. memory_type: Filter to 'episodic', 'semantic', or 'procedural'. Omit to search all.
store_memory
Store a memory for an agent/user pair. Content is embedded locally (ONNX) and persisted to Postgres. Returns the memory ID on success. Args: agent_id: Unique identifier for the agent storing the memory. user_id: Unique identifier for the user this memory belongs to. content: The text to remember (max 8000 chars). memory_type: 'episodic' (events/conversations), 'semantic' (facts/preferences), or 'procedural' (workflows). Default: episodic. importance: Weight multiplier 0.0–2.0. Use >1.0 for critical facts. Default: 1.0.

Signals

Stars: 1
Forks: 0
Open issues: 0
Last commit: Jun 4, 2026 (4 months ago)
Last release: Jun 4, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name: io.github.ayushagrawal288/memex
Version: 0.1.0
Auth: No auth
Packages: oci ghcr.io/ayushagrawal288/memex:v0.1.0
License: MIT
Repository: github.com/ayushagrawal288/memex
First seen: Oct 24, 2026
Last checked: Oct 25, 2026
Source: Official MCP Registry github-graphql

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Cite this page

memex MCP server. Agent Mart. https://agentmart.dev/connectors/ayushagrawal288-memex (last updated 2026-10-25)