memclaw
Health Warn
- License — License: MIT
- Description — Repository has a description
- Active repo — Last push 0 days ago
- Low visibility — Only 8 GitHub stars
Code Warn
- process.env — Environment variable access in memclaw/scripts/run.mjs
- network request — Outbound network request in memclaw/scripts/run.mjs
Permissions Pass
- Permissions — No dangerous permissions requested
This agent provides AI coding assistants with persistent project workspaces, allowing the AI to save tasks, artifacts, and project context across different sessions.
Security Assessment
The tool requires an API key from Felo.ai to function, which it accesses via standard environment variables (`process.env`) or a local configuration file. It makes outbound network requests, which is expected as it needs to communicate with the Felo API to save and retrieve your project's context data. The codebase does not request dangerous local permissions, nor did the scan find any hardcoded secrets or evidence of arbitrary shell execution. Because the tool transmits your project context (research, files, progress) over the internet to a third-party service, overall risk is rated as Medium.
Quality Assessment
The repository uses the permissive MIT license and includes a clear, comprehensive README. It is actively maintained, with the most recent code push occurring today. However, community visibility and trust are currently very low, as the project only has 8 GitHub stars. This means the tool has not yet been widely vetted by a large audience of independent developers.
Verdict
Use with caution — the code itself appears safe, but be aware that you are transmitting potentially sensitive project data to an external service that currently has minimal community vetting.
The AI agent's external brain — persistent project workspaces across sessions
MemClaw
The AI agent's external brain — persistent project workspaces across sessions.
Website · Install Guide · Documentation · Get API Key
MemClaw is a skill for AI coding agents. It gives agents persistent project workspaces — each workspace stores tasks, artifacts, and a living README so any session (or collaborator) can load it and immediately have full context.
What It Does
- Workspaces — one project = one workspace, identified by name
- Artifacts — save research reports, documents, URLs, and files to the workspace
- README memory — agent maintains a structured project README: background, user preferences, current progress
- Query — retrieve workspace contents by browsing or semantic search
- Cross-session — load any workspace and pick up exactly where things left off
Install
Get your API key from felo.ai, then set it:
export FELO_API_KEY="your-api-key-here" # Linux/macOS
$env:FELO_API_KEY="your-api-key-here" # Windows (PowerShell)
The key can also be persisted in ~/.memclaw/env.
Claude Code
# Add the marketplace
/plugin marketplace add Felo-Inc/memclaw
# Install the skill
/plugin install memclaw@memclaw
OpenClaw
bash <(curl -s https://raw.githubusercontent.com/Felo-Inc/memclaw/main/scripts/openclaw-install.sh)
Manual
git clone https://github.com/Felo-Inc/memclaw.git
# Copy the skill folder to your AI agent's skills directory
# Claude Code: ~/.claude/skills/
# Gemini CLI: ~/.gemini/skills/
# Codex: ~/.codex/skills/
cp -r memclaw/memclaw ~/.claude/skills/
Usage
Just talk to the agent naturally:
Create a workspace called Client Acme
Load the Acme workspace
What's in my workspace?
Save that report to the workspace
The agent handles task tracking, artifact saving, and README updates automatically — no extra commands needed.
Learn more at memclaw.me.
How It Works
| Concept | Description |
|---|---|
| Workspace | One project = one persistent knowledge base |
| Registry | ~/.memclaw/workspaces.json, maps project names to workspace IDs |
| README | Agent's memory of the project — background, preferences, progress |
| Artifacts | Key outputs saved to the workspace (reports, docs, URLs, files) |
License
MIT — see LICENSE for details.
Made with care by the Felo team · memclaw.me
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