Memclaw
MemClaw
Persistent project memory for AI coding agents — isolated workspaces, visual dashboard, team collaboration.
MemClaw · Install · Install Guide · Get API Key · Why MemClaw?
#The Problem
AI coding agents forget everything between sessions. When you juggle multiple projects, things get worse — Client A's context bleeds into Client B's conversation, and you waste time re-explaining project details every time you start a new chat.
MemClaw fixes this. It gives your AI agent a persistent, project-isolated memory system with a web dashboard so you can actually see and manage what your agent remembers.
#Why MemClaw?
Unlike general-purpose AI memory tools, MemClaw is designed specifically for project-level isolation:
| Feature | MemClaw | General memory tools |
|---|---|---|
| Project isolation | Each project gets its own workspace — zero context bleed | Memory is shared across all conversations |
| Visual dashboard | Web UI to review, edit, and manage agent memory | Memory is invisible — you can't see what the agent remembers |
| Team collaboration | Invite teammates to shared project workspaces | Single-user only |
| Structured memory | Tasks, artifacts, and a living project README | Flat key-value or vector store |
| Free to use | Core features are free | Often requires paid plans |
#What It Does
- Workspaces — one project = one workspace, identified by name. Client A's context never touches Client B's.
- 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.
- Web dashboard — open the MemClaw dashboard to view and manage all your project memories.
#Use Cases
#Sales & Consulting
Track 6 clients simultaneously. Each client gets their own workspace with pricing history, requirements, and communication notes. Switch between clients without context contamination.
#Multi-Project Development
Three repos, three workspaces. Your AI agent remembers each project's architecture, constraints, and TODO list independently. No more re-explaining your tech stack.
#Research & Knowledge Work
Accumulate papers, insights, and notes into project-specific knowledge bases. Your AI agent builds structured knowledge over time instead of losing it in chat history.
#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 Installation
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.
#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) |
#Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
Whether it's a bug fix, feature request, or documentation improvement — all contributions help make MemClaw better for everyone.
#Community
- Website: MemClaw — official site
- Install Guide: MemClaw Install Guide
- Bug Reports: GitHub Issues
- Discussions: GitHub Discussions
#License
MIT — see LICENSE for details.