Ops Dashboard OpenClaw: Local-First Dashboard for Solo Devs with Multiple Repos
r/openclaw user Remarkable-Echo4783, a solo developer with twelve active projects across seven repos and four cloud providers, built ops-dashboard — a local-first app that indexes everything you work on into a single queryable dashboard. No cloud account, no telemetry, no signup.
What It Does
- Semantic search + keyword matching across Obsidian vault, repo READMEs, daily logs, and project notes
- Editable agent org chart with per-agent chat using any LLM provider you already pay for (BYOK, no markup)
- Auto-extracts TODOs from source files across any language with priority inference
- Cost tracking per provider per month in EUR/USD/GBP (no bank connection)
- Technical decision log with context, consequences, and links
- GitHub sync for PRs, issues, and recent commits per repo
- URL monitoring with webhook alerts on downtime/recovery
- Weekly summaries of what shipped vs last week
- Voice notes via local Whisper on CPU
- Reusable templates for launch checklist, incident response, code review
How It Runs
Python backend, vanilla JS frontend, SQLite storage. Single binary, no Docker required. Indexes ~2,800 documents in under five minutes on a MacBook.
Pricing (Still Validating)
- Free, self-hosted, BYOK: MIT-licensed core, no signup
- $9/month hosted: zero setup, Ollama-backed chat (no token cost), weekly email digests
- $29/month team: shared org chart, role-based views, shared decisions log
Who It's For
Solo founders, indie hackers, freelancers with more than three repos in production — anyone who has outgrown a todo app but doesn't want a Notion subscription.
📖 Read the full source: r/openclaw
👀 See Also
Pilot Protocol: Networking Layer for OpenClaw Agents
Pilot Protocol is an open-source networking layer that handles connectivity between OpenClaw agents across different machines. It provides permanent virtual addresses, encrypted UDP tunnels, and NAT traversal without VPNs or ngrok.
Cold Validation Architecture: Dual-Agent Code Review System Open-Sourced
Open-sourced system uses two separate AI agents for code validation: one builds code, another reviews it with zero context about the builder's reasoning. The reviewer only sees plan documents, code diffs, and test outputs.
Benchmark Results for Small Local and OpenRouter Models on Agentic Text-to-SQL Task
A developer tested multiple small local and OpenRouter models using a custom agentic text-to-SQL benchmark that converts English queries to SQL with debugging rounds. The benchmark includes 25 questions, runs in under 5 minutes, and reveals top performers like kimi-k2.5 and Qwen 3.5 variants.
Brunnfeld Agentic World: Multi-Agent Medieval Economy Simulation Without Behavioral Prompts
A TypeScript simulation where 20 LLM agents autonomously trade in a medieval village economy with no behavioral instructions, goals, or trading strategies. Agents receive ~200 token perceptions each tick and interact through a deterministic engine handling physics, recipes, and market mechanics.