MemClaw

Persistent project memory for AI coding agents — isolated workspaces, visual dashboard, team collaboration.

MemClaw · Install · Install Guide · Get API Key · Why MemClaw?

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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.

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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

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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.

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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.

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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/

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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.

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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)

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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.

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Community

• Website: MemClaw — official site
• Install Guide: MemClaw Install Guide
• Bug Reports: GitHub Issues
• Discussions: GitHub Discussions

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License

MIT — see LICENSE for details.

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Made with care by the Felo team · MemClaw