No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →
by raiyanyahya · Agent Tool · ★ 739
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
🔒 Is recall safe to install? View the security audit →
🔁 Recall — fully-local project memory for Claude Code Claude Code starts every session cold. Recall keeps a local log of your sessions and condenses it into a resume-ready summary — entirely on your machine. No API key, no external model, nothing sent anywhere. It's built for people running Claude Code locally on a subscription: the only AI in the loop is Claude Code itself; the summarization is done by a classical Python summarizer. Why Recall Free on your subscription. It solves the cold-start problem — no more re-explaining the project each session — without a metered summarizer running up a bill. The summary is a loc
| Stars | 739 |
| Forks | 43 |
| Language | Python |
| Category | Agent Tool |
| License | MIT |
| Quality Score | 75.2614304920539/100 |
| Open Issues | 2 |
| Last Updated | 2026-07-31 |
| Created | 2026-06-19 |
| Platforms | claude-code, python |
| Est. Tokens | ~14k |
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recall is Stop wasting tokens and re-explaining your project every session. Recall gives Claude Code durable memory — entirely offline.. It is categorized as a Agent Tool with 739 GitHub stars.
recall is primarily written in Python. It covers topics such as ai, ai-agents, anthropic.
You can find installation instructions and usage details in the recall GitHub repository at github.com/raiyanyahya/recall. The project has 739 stars and 43 forks, indicating an active community.
recall is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to recall on Agent Skills Hub include smart-ralph, everything-claude-code-zh, claude-prism. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.