recall-loom

Name: recall-loom Review
Item: recall-loom
Rating: 3.0
Author: Aaron Matthews

Skill Development Usable

Works inClaude Code

Usable Scanned — metadata only

Maintains continuity and context across multiple AI agents and sessions without token bloat, enabling coherent multi-step projects and reducing rework from l…

Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files.

Ask Claude to summarize project decisions and context from previous work sessions.
Generate a consolidated progress report across multiple agent conversations and code changes.
Find the next steps and blockers from your project memory when resuming long-term development.

151 starsApache-2.0 (commercial OK)FreeQuick setup

Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Why it matters

Maintains continuity and context across multiple AI agents and sessions without token bloat, enabling coherent multi-step projects and reducing rework from lost context or contradictory decisions.

Best for

Teams running autonomous AI agents on complex, multi-session projects requiring consistent architectural decisions and progress tracking.

Works in

Claude Code Claude Cowork Claude Chat

Source

https://github.com/Frappucc1no/recall-loom

By Frappucc1no

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → Plugins → Add 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 Frappucc1no/recall-loom

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:

Summarize project decisions and context from previous work sessions

CostFree

Trust Signals Auto-scanned

Stars151Contributors1Last updated2026-08-01LicenseApache-2.0 (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-08-12 · scanner vattempted-no-data

Community Pulse Emerging

Discussed on Hacker News

Another Takata Recall Looms for Large Batch of Air Bags — Hacker News · 4 pts
Schwarzenegger says atmosphere of this year's recall looks the same as in 2003 — Hacker News · 1 pts

2 mentions across 1 sources

Reviewer notes

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

Scored from trust signals (evidence-eval-v1): 119 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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.
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.

Evaluation Scores

Evaluation

Ease of Use

3/5

Versatility

3/5

Reliability

3/5

Security

3/5

Overall score3.00 / 5.00 UsableEvaluatedJun 2026

Scored from trust signals (evidence-eval-v1): 119 GitHub stars; contributors unknown; last commit 0d ago; license Apache-2.0.

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