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typed-recall

v0.2.0

Published

Recall — typed-edge memory MCP server for AI agents (Claude Code / Codex / Cursor / Windsurf). Wrapper that runs the Python MCP server via uvx.

Readme

typed-recall

The npm wrapper for Recall — a typed-edge memory MCP server for AI agents (Claude Code / Codex / Cursor / Windsurf).

This package is a thin Node.js shim that runs the Python Recall MCP server via uvx or pipx. The actual implementation is in Python. The npm package exists so you can install and add Recall to your MCP client with a single command.

Install + use

Claude Code

claude mcp add recall -- npx -y typed-recall

Cursor / Windsurf / VS Code MCP

In your client's MCP config:

{
  "mcpServers": {
    "recall": {
      "command": "npx",
      "args": ["-y", "typed-recall"]
    }
  }
}

Codex CLI

In ~/.codex/config.toml:

[mcp_servers.recall]
command = "npx"
args = ["-y", "typed-recall"]

Standalone

npm install -g typed-recall
typed-recall

What it actually does

On first run the shim resolves a Python invocation in this order:

  1. uvx --from 'typed-recall[mcp,embed-bge,llm-openai]' typed-recall — uses uv to run the Python server in an ephemeral environment. Recommended.
  2. pipx run --spec 'typed-recall[mcp,embed-bge,llm-openai]' typed-recallpipx fallback.
  3. python3 -m recall.mcp_server — assumes you already ran pip install 'typed-recall[mcp,embed-bge,llm-openai]'.

If none of these are available, it prints clear install hints.

To customize, set RECALL_MCP_CMD to a JSON array, e.g. RECALL_MCP_CMD='["python3","-m","recall.mcp_server"]'.

To silence the launch hint, set RECALL_MCP_QUIET=1.

What Recall does

A memory layer for AI agents that stores conversational memories as a typed-edge graph, retrieves connected reasoning paths, and returns answers structurally bounded by retrieval support:

  • Audit log — every memory op append-only logged
  • Surgical forget — by node-id with cascading edge deprecation
  • Bounded generation — non-vacuous CRC hallucination bound per answer
  • Typed edgessupports / contradicts / superseded / pivots / temporal_next
  • Multi-hop retrieval — HippoRAG-style entity expansion
  • Sheaf-based inconsistency detection — frustrated-cycle scores
  • Forman-Ricci bottleneck protection — graph topology preserved during pruning
  • Local SQLite, zero cloud required

Full docs: https://github.com/yash194/recall.

Tools exposed via MCP

add_memory · search_memory · bounded_answer · forget · audit · graph_health · consolidate · stats

Requirements

  • Node.js 16+
  • Python 3.10+
  • One of: uv (recommended), pipx, or pip install typed-recall[mcp] already done

License

Apache-2.0.