Memctl: Open Source MCP Server for Persistent Memory in AI Coding Agents

Memctl is an open source MCP server that gives AI coding agents persistent memory across sessions, machines, and IDEs. It stores your project context and serves it back in the next session, enabling team scenarios where one agent learns something and every team member's agent gains that knowledge.
Key Details
The tool was built entirely with Claude Code, with Claude Code writing the vast majority of the codebase. Development took two weeks from first commit to beta release, which the creator states would not have been possible without Claude Code.
Memctl includes:
- 11 MCP tools
- Hybrid search functionality
- Offline caching
It works with various MCP clients including:
- Claude Code
- Cursor
- Windsurf
- Cline
- Any MCP client
The server is self-hostable with Docker and licensed under Apache 2.0. It's free to use with paid tiers available for larger teams.
Getting started involves two commands:
npx memctl auth && npx memctl init
The project is available on GitHub at github.com/memctl/memctl with additional information at memctl.com.
This type of MCP server addresses a common limitation in AI coding assistants where context doesn't persist between sessions, requiring users to repeatedly explain project details. By maintaining persistent memory, agents can build on previous interactions and share knowledge across team members.
📖 Read the full source: r/ClaudeAI
👀 See Also

Flue: A TypeScript Framework for Building Autonomous Coding Agents
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ForgeAI: A Visual Workbench for Model Engineering
ForgeAI provides a visual interface for model inspection, merging, and training, offering features like 3D model architecture inspection and M-DNA Forge for visual layer merging.

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