xChuCx/agent-memory
by Various
Local, searchable project memory for AI coding agents. Markdown source of truth, MCP interface, safe structured updates — no cloud.
MCP
xChuCx/agent-memory
Added 7 June 2026
Overview
A local, searchable project memory system for AI coding agents. It uses Markdown as the source of truth and provides an MCP interface for safe structured updates. No cloud services are required.
Best for
Best for
Developers who need persistent project memory for AI coding agents without cloud reliance.
Use cases
- Store project context and documentation as markdown files
- Enable AI coding agents to retrieve relevant project memory through search
- Update memory with structured updates from agent sessions
How to use
Install
npx -y @xchucx/agent-memory --help Tools exposed
agent-memory
Tested with
Claude Code, Cursor, ChatGPT
Example client config
{\n "mcpServers": [\n {\n "name": "agent-memory",\n "command": ["agent-memory", "mcp", "--root", "${CLAUDE_PROJECT_DIR:-.}"]\n }\n ]\n} Notes
A local, searchable project memory system for AI coding agents. It uses Markdown as the source of truth and provides an MCP interface for safe structured updates. No cloud services are required.
4 stars on GitHub. Last updated 2026-06-05. Licensed Apache-2.0.
Use cases
- Store project context and documentation as markdown files
- Enable AI coding agents to retrieve relevant project memory through search
- Update memory with structured updates from agent sessions
Pros
- Local storage ensures data privacy and no cloud dependency
- Markdown source of truth is easy to read, edit, and version control
- MCP interface enables seamless integration with AI coding agents
Cons
- Requires local setup and ongoing management
- No built-in versioning or collaboration features
- Markdown-based storage may not suit complex structured data
Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.
Pros
- Local storage ensures data privacy and no cloud dependency
- Markdown source of truth is easy to read, edit, and version control
- MCP interface enables seamless integration with AI coding agents
Cons
- Requires local setup and ongoing management
- No built-in versioning or collaboration features
- Markdown-based storage may not suit complex structured data
Open-source & AI alternatives
Swap-in tools that solve the same job. Weigh the trade-offs before you commit.
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