memesh
local collaboration layer for AI coding agents
No README could be loaded. View the project on GitHub for full documentation.
Frequently asked questions
What is memesh?
memesh is local collaboration layer for AI coding agents
How do I install memesh?
Open the GitHub repository and follow its README. Most MCP servers are added to your client's MCP config, then called by your agent.
Is memesh open source?
Yes — it is hosted on GitHub at https://github.com/PCIRCLE-AI/memesh and has 15 stars.
Related MCP tools
memorixOpen-source cross-agent memory layer for coding agents via MCP. Compatible with Claude Code, Codex, Cursor, Windsurf, Gemini CLI, Antigravity, OpenClaw, Hermes Agent, Oh-my-Pi, Pi, Copilot, Kiro, OpenCode, and Trae.
memoraGive your AI agents persistent, collective memory — with deduplicating absorb, supersession lineage, semantic search, and a graph UI. Speaks MCP.
projectmemOpen-source coding agent memory. Records issues, attempts, fixes and decisions, then warns your agent before it repeats an approach that already failed. Native MCP server for Claude Code, Cursor, Antigravity and Codex. 100% local, no cloud, no telemetry. MIT.
wigoloThe go-to web for your AI coding agent — local-first search, fetch, crawl & research over MCP. No API keys, no cloud, $0/query. Public beta.
codesightUniversal AI context generator. Saves thousands of tokens per conversation in Claude Code, Cursor, Copilot, Codex, and more.
tuuiA desktop MCP client designed as a tool unitary utility integration, accelerating AI adoption through the Model Context Protocol (MCP) and enabling cross-vendor LLM API orchestration.
Run your own MCP server? See who uses it and what to fix.
Measure it with TrackMCP