Claude-Mem
AI memory archive that captures and organizes your coding assistant's decisions and context across sessions.
Opens cmem.ai in a new tab.
How the 7.8 was reached
- Quality of output7/10
94,872 GitHub stars and active pushes show heavy adoption; 328 open issues; no independent output quality tests. Source: github.com
- Ease of use9/10
One-command install with npx, and email magic link sign-in with no card required. Source: github.com
- Pricing value8/10
Open-source engine is free; Pro is $30/month with a trial, but the Team plan at $333 per seat is steep. Source: cmem.ai
- API and integration quality8/10
Runs as an MCP server for 8 agents and IDEs including Claude Code, Cursor and Codex, with a private MCP link. Source: cmem.ai
- Solves the problem it claims to solve7/10
Cross-session memory for Claude Code is delivered per the vendor, and 94,872 stars show wide use. Source: github.com
7.8/10 is the average of the five criterion scores above. The evidence comes from 3 different sources.Scores come from public evidence (the tool's own pages and documentation, and independent reviews); we do not test every tool hands-on. Scored 29 September 2026, on version 1 of our five-criteria scoring method.
Pricing
- GitHub plugin
- Real-time observation
- Searchable archive
- File and concept scoping
For the full list of what each plan includes, and current prices, see cmem.ai.
Key Features
- Real-time AI session observation
- Searchable decision archive
- Before/after context capture
- File and concept-based filtering
- Progressive disclosure for token efficiency
Pros & Cons
Pros
- Solves real context loss problem
- Open source and free
- Smart categorization system
- Token-efficient design
- Easy GitHub marketplace install
Cons
- Limited to Claude coding assistant
- Requires plugin installation
- Early stage project
- No commercial support
- Documentation appears minimal
Claude-Mem addresses a genuine pain point for developers using AI coding assistants by creating persistent memory across sessions. While the concept is solid and the open-source approach is appealing, it's still early-stage with limited ecosystem support.
Added to scored.tools on
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