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thread-keeper
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thread-keeper

Active·★ 13·MIT·Updated 2026-10-22

thread-keeper is a multi-agent shared brain that unifies memory, skills, and coordination across various LLM clients like Claude, Codex, and Copilot. It enables agents to share collective memory, signal each other, and autonomously improve their skill library over time, transforming isolated chats into a cohesive multi-agent system.

#Multi-Agent System#Shared Memory#LLM Orchestration#Cross-Client Integration#Autonomous Learning#Context Management
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$ Install
$ pipx install 'threadkeeper[semantic]' && thread-keeper-setup
↗ Visit site★ GitHub
01

Features

01Collective and Cross-Session Memory
02Multi-Agent Coordination and Communication
03Autonomous Skill Improvement
04Unified Memory and Learning Across Multiple CLIs
02

Compatibility

Python
Runtime
Verified via docs
Claude Code
CLI Client
Verified via docs
Claude Desktop
Desktop Client
Verified via docs
Codex
CLI/Desktop Client
Verified via docs
Antigravity CLI
CLI Client
Verified via docs
Copilot
IDE Client
Verified via docs
03

Quick start

1
$ pipx install 'threadkeeper[semantic]'
2
$ thread-keeper-setup
04

Use cases

↳Maintaining context across different LLM sessions and tools.
↳Enabling knowledge transfer and skill sharing between various AI agents.
↳Coordinating parallel agent instances to avoid duplicate work and conflicts.
↳Building self-improving AI systems that learn from past interactions.
05

Alternatives

⚡Top VS:
VScrypto-claude-desk★63→VSmetaharness★713→VSlavern★315→

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po4erk91 /
thread-keeper
↗

Multi-agent shared brain across Claude Code/Desktop, Codex, Gemini, Copilot, VS Code. Cross-session memory, self-improving skill loops, inter-agent signaling — one local MCP server.

13MIT
Last commit1d ago
StatusActive
CategoryMulti-Agent
Links
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