1. Conduid
  2. RAG
  3. Memclaw
MCP server · RAG

Memclaw

· github.com/Felo-Inc/memclaw

Persistent project memory for AI coding agents — isolated workspaces per project, web dashboard to review what your agent remembers, team collaboration. Free to use.

Unclaimed agent-memoryai-agentai-memoryai-toolsclaude-codeclawdbotcoding-assistantcontext-managementdeveloper-toolsknowledge-managementlong-term-memorymcpmemorymemory-managementopenclawopenclaw-memoryproductivityproject-managementragteam-collaboration
InstallView source
39Low

Scored 4 months ago · breakdown

About Memclaw

Memclaw is an MCP server in the RAG category: persistent project memory for AI coding agents — isolated workspaces per project, web dashboard to review what your agent remembers, team collaboration. Free to use. It has been installed 0 times through Conduid.

Install

Clone
git clone https://github.com/Felo-Inc/memclaw

This server has no ConduID identity, so agent calls to it are not receipted. Pin the version you install and review the source before granting it credentials.

Ask AI

✦

Ask AI about Memclaw

Powered by Claude · Grounded in docs

I know everything about Memclaw. Ask me about installation, configuration, usage, or troubleshooting.

Security checks

  • ·README presentNot checked yet.
  • ·License declaredNot checked yet.
  • ·Tests presentNot checked yet.
  • ·Dependencies pinnedNot checked yet.
  • ·No dynamic code executionNot checked yet.
  • ·Scoped permissionsNot checked yet.

README

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

License

MIT — see LICENSE for details.

README mirrored from the source repository 4 months ago. The original is authoritative.

Questions

About Memclaw

How do I install Memclaw?

Run git clone https://github.com/Felo-Inc/memclaw, then add the server to your MCP client's configuration. Conduid has recorded 0 installs, so the command is known to work with current clients.

Is Memclaw safe to use with an AI agent?

Its trust score is 39 out of 100 (low). Conduid hasn't run static security checks on this repository yet, so review the source yourself before granting it credentials. It has no ConduID identity yet, so agent calls to it are not receipted.

Is Memclaw still maintained?

Conduid hasn't recorded a commit date for this repository yet. Check the repository directly for recent activity.