MCP ConfigsMay 13, 2026·2 min read

iai-mcp — Open-Source Memory System for AI Coding

iai-mcp is an open-source local memory layer for AI coding assistants. It runs an MCP server plus capture/recall hooks and ships benchmarks.

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Agent ready

This asset can be read and installed directly by agents

TokRepo exposes a universal CLI command, install contract, metadata JSON, adapter-aware plan, and raw content links so agents can judge fit, risk, and next actions.

Native · 94/100Policy: allow
Agent surface
Any MCP/CLI agent
Kind
Mcp
Install
Git
Trust
Trust: Established
Entrypoint
git clone https://github.com/CodeAbra/iai-mcp.git && cd iai-mcp && bash scripts/install.sh
Universal CLI install command
npx tokrepo install d89c9d2d-c020-5fe7-89e3-f0ee62a820b5
install contractmetadata JSONadapter planraw content
Intro

iai-mcp is an open-source local memory layer for AI coding assistants. It runs an MCP server plus capture/recall hooks and ships benchmarks.

Best for: Mac developers who want ambient memory with benchmarks and hooks

Works with: macOS, Python 3.11/3.12, Node.js 18+, Claude Code or Codex CLI

Setup time: 10-25 minutes

Key facts (verified)

  • GitHub: 116 stars · 12 forks · pushed 2026-05-13.
  • License: MIT · owner avatar + repo URL verified via GitHub API.
  • README-verified entrypoint: git clone https://github.com/CodeAbra/iai-mcp.git && cd iai-mcp && bash scripts/install.sh.

Main

  • Install the daemon + wrapper first, then install hooks; without hooks you get read access but not ambient capture/recall.

  • Treat iai-mcp doctor + daemon status as your safety gates before enabling it in a real project session.

  • If you care about numbers, run the repo’s benchmark modules to measure recall latency and fidelity on your machine.

Source-backed notes

  • README Install section uses bash scripts/install.sh and documents adding ~/.local/bin to PATH for iai-mcp.
  • README documents capture/recall hooks (iai-mcp capture-hooks install|status|uninstall) and shows a Codex target option.
  • README includes benchmark claims (e.g., p95 <100ms, >=99% verbatim recall at 10k) and points to bench/ modules.

FAQ

  • Is it cross-platform?: README lists macOS as supported and calls out Windows/Linux as not supported yet.
  • Does it store secrets?: It stores your captured transcript locally; treat the store directory like any sensitive developer artifact.
  • What if the daemon is down?: README describes hooks as fail-safe; session start should not block if recall returns empty.
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Source & Thanks

Source: https://github.com/CodeAbra/iai-mcp > License: MIT > GitHub stars: 116 · forks: 12

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