coding · free
Claude-Mem
About
Persistent memory across agent sessions — captures, compresses, and retrieves context automatically.
What is Claude-Mem?
Claude-Mem is a tool that gives AI agents persistent memory across sessions. The documentation describes it as capturing, compressing, and retrieving context automatically. This means a user's conversation history or project details are not lost when a new session starts. The GitHub repository shows 88,749 stars, which suggests broad community interest. The tool appears to work with Claude, an AI assistant, but the website does not specify whether it supports other models. The repository indicates it is open-source software. The tool likely runs as a plugin or extension that stores compressed summaries of past interactions. It aims to solve a common problem: AI assistants forgetting earlier instructions or code context when a session ends. The documentation frames it as a lightweight solution for maintaining continuity in iterative development workflows.
Who is Claude-Mem for?
Claude-Mem targets developers who use AI agents for coding tasks. The tool is designed for users who work in long, multi-session projects where context matters. Software engineers, freelancers, and small teams are the likely audience. The free pricing makes it accessible without financial barriers. The tool may also appeal to researchers experimenting with agent memory. The documentation does not list specific user personas, but the GitHub stars indicate adoption among individual developers.
- Developers using Claude for code generation and debugging
- Engineers working on large codebases across multiple sessions
- Teams that need shared context for collaborative agent use
How much does Claude-Mem cost?
Claude-Mem is free. The pricing page lists a cost of $0 per month. The GitHub repository and website do not mention paid tiers, usage limits, or subscription plans. The tool is open-source, so users can also self-host without any payment. The documentation describes no premium features or upgrade paths. This makes the tool straightforward to adopt without financial commitment.