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ClaudeWave

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

Skills125 stars5 forksPythonApache-2.0Updated 3d ago
ClaudeWave Trust Score
92/100
Verified
Passed
  • Open-source license (Apache-2.0)
  • Actively maintained (<30d)
  • Clear description
  • Topics declared
Last scanned: 6/11/2026
Install as a Claude Code skill
Method: Clone
Terminal
git clone https://github.com/Frappucc1no/recall-loom ~/.claude/skills/recall-loom
1. Clone the repository into your ~/.claude/skills directory (or copy the skill folder containing SKILL.md).
2. Start a new Claude Code session so the skill registry reloads.
3. Invoke it by name, or let Claude trigger it automatically when the task matches.
💡 If the repo bundles several skills, copy only the folders you need.

1 items in this repository

Use when a task involves continuing a project, restoring project context, maintaining file-based project memory, updating current-state summaries, or recording meaningful progress across sessions. Works best for long-horizon, file-based projects and supports research writing, product document collaboration, software project coordination, and broader cross-functional project continuity.

Install
Use cases

Skills overview

README preview not available. Visit the repo on GitHub for full documentation.
agent-memoryagent-skillsai-agentsai-codingai-memoryclaudeclaude-codeclaude-code-skillsclaude-skillscodexcodex-skillcontext-managementdeveloper-toolsgemini-clillmllm-agentsmarkdownproject-continuityproject-memorysession-memory

What people ask about recall-loom

What is Frappucc1no/recall-loom?

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Frappucc1no/recall-loom is skills for the Claude AI ecosystem. Project memory for long-running AI work across agents, models, and sessions. Keep context, decisions, progress, and next steps in local project files. It has 125 GitHub stars and was last updated 3d ago.

How do I install recall-loom?

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You can install recall-loom by cloning the repository (https://github.com/Frappucc1no/recall-loom) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is Frappucc1no/recall-loom safe to use?

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Our security agent has analyzed Frappucc1no/recall-loom and assigned a Trust Score of 92/100 (tier: Verified). See the full breakdown of passed checks and flags on this page.

Who maintains Frappucc1no/recall-loom?

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Frappucc1no/recall-loom is maintained by Frappucc1no. The last recorded GitHub activity is from 3d ago, with 0 open issues.

Are there alternatives to recall-loom?

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Yes. On ClaudeWave you can browse similar skills at /categories/skills, sorted by popularity or recent activity.

Deploy recall-loom to your cloud

Ship this repo to production in minutes. Each platform spins up its own environment with editable env vars.

Maintain this repo? Add a badge to your README

Drop the badge into your GitHub README to show it's tracked on ClaudeWave. Each badge links back to this page and reflects the live Trust Score.

Featured on ClaudeWave: Frappucc1no/recall-loom
[![Featured on ClaudeWave](https://claudewave.com/api/badge/frappucc1no-recall-loom)](https://claudewave.com/repo/frappucc1no-recall-loom)
<a href="https://claudewave.com/repo/frappucc1no-recall-loom"><img src="https://claudewave.com/api/badge/frappucc1no-recall-loom" alt="Featured on ClaudeWave: Frappucc1no/recall-loom" width="320" height="64" /></a>

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