AgentRecall
AI Session Memory with Think-Execute-Reflect Quality Loops — give your agent a brain that survives every session. Built on the Intelligent Distance principle.
- Iterative code debugging across multiple agent invocations
- Research agents that refine findings over repeated queries
- Customer support bots that remember prior issue patterns
Persistent agent memory reduces context loss between sessions, enabling multi-turn problem-solving without re-explaining context. Think-Execute-Reflect loops improve reasoning quality and decision accuracy across long-running tasks.
Engineering teams deploying multi-session AI agents for code generation, debugging, or iterative development workflows.
https://github.com/Goldentrii/AgentRecall
By Goldentrii
How to Get It
claude plugins install Goldentrii/AgentRecall
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Trust Signals Reviewed
Community Pulse Active
Discussed on Hacker News, Reddit
- NPR IS REPORTING THAT DOJ HAS BEEN WITHOLDING FILES RELATED TO TRUMP SEXUALLY AS — Reddit · 36284 pts
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- Announcement from the Mod team of r/nursing regarding the murder of Alex Pretti, — Reddit · 8181 pts
30 mentions across 2 sources
Reviewer notes
Reviewed review. These are observations, not a security certification.
Auto-assessment from April sweep — baseline scores pending hands-on review.
2026-04-18: Approved in April sweep: Solid community adoption with a clear description and active maintenance.
Things to check
- Single maintainer. Consider the risk if this person stops maintaining the project.
How to evaluate tools before deploying →
Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.