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AgentRecall-X

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Eliminates context loss and repeated mistakes across agent sessions by maintaining corrected memory, reducing rework and improving downstream code quality in…

Correction-first persistent memory for AI agents. MCP server + SDK + CLI. Compounds across sessions.

311 starsMIT (commercial OK)FreeQuick setup
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Eliminates context loss and repeated mistakes across agent sessions by maintaining corrected memory, reducing rework and improving downstream code quality in multi-turn development workflows.

Development teams using AI agents for code generation who need consistent behavior and error prevention across multiple execution runs.

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https://github.com/Goldentrii/AgentRecall-X

By Goldentrii

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
claude plugins install Goldentrii/AgentRecall-X

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Recall previous debugging decisions across multiple code sessions
CostFree

Trust Signals Auto-scanned

Stars311Last updated2026-07-20LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 311 GitHub stars; contributors unknown; last commit 3d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

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.

Evaluation

Ease of Use
3/5
Versatility
4/5
Reliability
3/5
Security
3/5
Overall score3.25 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 311 GitHub stars; contributors unknown; last commit 3d ago; license MIT.

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