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Memwright

Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.

Connector by bolnet · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 14
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Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/bolnet-memwright

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

Embedded memory for AI agents with SQLite, pgvector, and Neo4j graph search.

Reviews

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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
6 read · 2 write · 0 delete
Secrets
3 (API keys, tokens or passwords)
Install scripts
Not scanned yet
Runs as
Python package

Tools by what they do 8

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

Read 6 · Look things up without changing anything.

  • memory_get
  • memory_health
  • memory_recall
  • memory_search
  • memory_stats
  • memory_timeline

Write 2 · Create, change, send or run things.

  • memory_add
  • memory_forget

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

  • NEO4J_PASSWORD
  • OPENAI_API_KEY
  • OPENROUTER_API_KEY

Other settings (environment variables or headers).

  • PG_CONNECTION_STRING

Tools (8)

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

  • memory_add

    Store a new memory/fact about the user or project. Use this to remember preferences, decisions, context, and important facts.

  • memory_forget

    Archive a specific memory by ID.

  • memory_get

    Retrieve a single memory by its ID.

  • memory_health

    Check health of all memory system components. Reports status of the document store, vector store, graph store, and retrieval pipeline. Call this first to verify the system is working.

  • memory_recall

    Smart retrieval: finds the most relevant memories using multi-layer search (tags, graph connections, and semantic vectors) with score fusion. Use this as the primary way to find relevant context.

  • memory_search

    Simple keyword search with filters. Use this when you need to filter by category, entity, status, or date range. For general relevance queries, prefer memory_recall instead.

  • memory_stats

    Get statistics about the memory store.

  • memory_timeline

    Get the chronological history of memories about an entity.

Signals

Stars
14
Forks
1
Open issues
0
Weekly downloads
28
Last commit
Sep 18, 2026 (1 month ago)
Last release
May 26, 2026 (5 months ago)
Last package publish
Apr 14, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026) and the package registry.

Details

Registry name
io.github.bolnet/memwright
Version
0.1.3
Auth
API key
Packages
pypi memwright
License
MIT
Repository
github.com/bolnet/agent-memory
First seen
Oct 24, 2026
Last checked
Oct 25, 2026
Source
Official MCP Registrygithub-graphql

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Cite this page

Memwright MCP server. Agent Mart. https://agentmart.dev/connectors/bolnet-memwright (last updated 2026-10-25)