OpenMind adds visual mind map interface to OpenClaw installations
OpenMind is an early Alpha tool that creates a fully interactive, live-editable mind map interface for OpenClaw installations. Instead of digging through logs, developers get visual logic representation of their AI agent's cognition.
Key Features
- Real-time memory visualization
- Edit any Memory - Hot-swap logic on the fly
- Build full-text memory search across all nodes
- Create new .md structures/subdirectories
- Docker ready with TailScale support
- Open-source (available on GitHub)
The tool is described as giving OpenClaw a "physical brain you can actually touch" - turning code execution into mind management. It's built on a foundation by Peter Steinberger (@steipete) and is currently in early Alpha, so users should expect some glitches.
As an open-source project, it's available for developers to install and contribute to. The Docker support with TailScale integration suggests it's designed for both local development and networked deployments.
📖 Read the full source: r/openclaw
👀 See Also
Garry Tan's gstack: An Open Source AI Agent Framework for Claude Code
Garry Tan's gstack is an open source software factory that turns Claude Code into a virtual engineering team with 13 specialist slash commands for planning, design, engineering, review, QA, and release management.
Trepan: Local VS Code Security Auditor for AI-Generated Code
Trepan is an open-source VS Code extension that acts as a security gatekeeper for AI-generated code suggestions. It uses Ollama to run local security audits against project-specific rules in a .trepan/system_rules.md file.
Bifrost AI Gateway: Open-Source Tool Addresses AI Infrastructure Gaps
Bifrost is an open-source Go-based LLM gateway that provides automatic failover between providers, budget caps that reject requests, audit logging, and hooks for evaluation. Benchmarks show it's ~50x faster than LiteLLM at high throughput.
Utilyze: Open-Source GPU Monitor That Measures Real Compute Throughput, Not Just Kernel Activity
Utilyze samples hardware performance counters to report compute and memory throughput relative to theoretical limits, exposing that dashboards showing 100% utilization may have only 1-10% real throughput.