ClawedBack: OpenClaw Port Running Inside Claude Code

ClawedBack is a clean-room port of OpenClaw designed to run inside Claude Code itself, created in response to Anthropic cutting off OpenClaw and third-party tools from Pro/Max subscriptions. By operating within Claude's ecosystem, it gets first-party prompt caching and rate limits that caused issues for external tools.
Key Features
- Matches 19 out of 23 of OpenClaw's built-in tools out of the box (4 missing are simple API wrappers)
- Fully ClawHub compatible — import skills directly from the marketplace with
/oc-hub import - Every import gets a mandatory security scan before it touches your system
- Real-time web chat UI with read-receipts
- Voice messages via Whisper
- Customized file sharing with individual, configurable expiration times
- Scheduled tasks
- Webhooks
- Approval workflows
- Three install modes, including fully-autonomous root-user chaos
Current Status
The tool is available for cloning and immediate use. The developer is seeking feedback, suggestions, and pull requests, with particular interest in channel adapters (Telegram/Discord/etc. are planned). Users encountering bugs are encouraged to open issues on the repository.
Setup
Just clone, setup, and chat. The repository is available at http://github.com/reedmayhew18/ClawedBack.
📖 Read the full source: r/openclaw
👀 See Also

Sandra: open-source persistent graph memory MCP for Claude
Sandra is a graph + vector memory backend with a native MCP server that gives Claude persistent structured memory across sessions, supporting exact, fuzzy, and semantic search.

DeepMind DiscoRL Meta Learning Update Rule Ported from JAX to PyTorch
A developer has ported DeepMind's DiscoRL meta learning update rule from the 2025 Nature article from JAX to PyTorch. The implementation includes a GitHub repository with a Colab notebook, API, and weights hosted on Hugging Face.

Inline Visualizer: Local AI Models Can Now Render Interactive HTML Visualizations
Inline Visualizer is a BSD-3 licensed plugin for Open WebUI that enables any local AI model with tool calling support to render interactive HTML/SVG visualizations directly in chat, with a JavaScript bridge allowing elements to send messages back to the AI.

Team Memory MCP: Open Source Shared Memory for Claude Code with Bayesian Confidence Scoring
Team Memory MCP is an open source tool that provides shared team memory for Claude Code with Bayesian confidence scoring. It uses a Beta-Bernoulli model to rank patterns, includes temporal decay with 90-day half-life, and can be added to Claude Code with a single command.