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agents-remember-md

Skill Development Usable
Works inClaude Code
Usable Scanned — metadata only

Agents working across multiple coding sessions lose context about design decisions, past failures, and project constraints.

Persistent memory for AI coding agents. Captures what code can't say on its own! No vector search, context bloat, or stale docs.

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

Agents working across multiple coding sessions lose context about design decisions, past failures, and project constraints. This tool lets them retain stateful memory of what happened, reducing redundant work and preventing repeated mistakes.

Teams running autonomous or semi-autonomous coding agents that span multiple tasks or sessions and need continuity without managing vector databases.

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https://github.com/Foxfire1st/agents-remember-md

By Foxfire1st

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 Foxfire1st/agents-remember-md

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:

Help me remembering which refactoring approaches failed in previous sprints
CostFree

Trust Signals Auto-scanned

Stars27Contributors5Last updated2026-07-24LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-25 · scanner v1

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 27 GitHub stars; 5 contributors; last commit 1d 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
2/5
Reliability
4/5
Security
4/5
Overall score3.15 / 5.00 UsableEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 27 GitHub stars; 5 contributors; last commit 1d ago; license MIT.

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