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thedotmack/claude-mem

Persistent Context Across Sessions for Every Agent – Captures everything your agent does during sessions, compresses it with AI, and injects relevant context back into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, OpenCode + More

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What it does

Claude-Mem is a plugin for Claude Code (Anthropic's AI coding assistant) that gives it a long-term memory — automatically recording what the AI does during each coding session, compressing those records intelligently, and feeding the relevant history back into future sessions. This means the AI assistant remembers your project's context, decisions, and patterns even after you close and reopen it.

Why it matters

One of the biggest friction points with AI coding tools today is that they forget everything between sessions, forcing users to constantly re-explain context — this project directly solves that cold-start problem, which is a key barrier to AI assistants becoming truly indispensable in professional workflows. For builders and investors, it signals a growing ecosystem of memory and personalization infrastructure layered on top of foundation AI tools, pointing toward a future where AI assistants accumulate durable, project-specific knowledge as a competitive moat.

Why it's trending

The explosion of Claude Code adoption has created an immediate pain point that builders are racing to solve: every new session starts from scratch, forcing developers to re-explain their project history over and over. This plugin tackles that problem directly by giving Claude Code a persistent memory layer, which explains why it has accumulated nearly 68,000 stars — a staggering number for a single-purpose tool. Worth noting: last week's +13,500 star surge dropping to +4,900 this week suggests some of that momentum may have been artificially amplified, so while the underlying interest is clearly real and the 291 commits over 30 days signal genuine development activity, the headline growth numbers deserve a second look.

37Active

On the radar — signal detected

Stars
84.5k
Forks
7.3k
Contributors
95
Language
JavaScript

Score updated Jun 27, 2026

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