{"repo":"WillNigri/Agentic-Tool-Optimization","free":true,"listed":false,"github":"https://github.com/WillNigri/Agentic-Tool-Optimization","clone":"git clone https://github.com/WillNigri/Agentic-Tool-Optimization.git","description":"Local-first multi-runtime AI cockpit (CLI + desktop + MCP). War-rooms, review receipts, open multi-model coding benchmarks. MIT.","language":"Rust","stars":33,"topics":["ai-agents","claude-code","codex","llm-ops","mcp","multi-agent","observability","open-source","tauri"],"license":"MIT","category":"ai-agents","readme_excerpt":"ATO — The cockpit where every AI follows your rules Your AIs already have hands. ATO is the seat you fly them from. Set the rules. Watch every tool call. Kill the runaway. Compare what each one actually did to your code. Multi-runtime. Local-first. MIT. Three AIs all could have walked the code. You see which ones did, and which one just replied. That's the cockpit. --- In 30 seconds Download → (Tauri 2.x · MIT) demo-war-room runs without API keys — picks your configured runtimes, falls back to Ollama. First receipt in 30 seconds. --- Research (open multi-model coding benchmark) Finding: higher floor, lower ceiling. We ran nine single models and nine coordination recipes on 49 contamination-audited LiveCodeBench coding tasks (execution-graded, metered receipts). Multi-model coordination did not beat the best single model. It lifted weak models ( +9 problems) and capped peaks (war rooms can lose to their own best member). Cascades were limited by the verifier gate , not the strong closer. Full write-up, draft paper, and re-run path: --- --- Human summary Does multi-model coordination beat a single model? Full paper (HTML) Coordination benchmark paper Markdown · PDF .md · PDF In-repo guide docs/research/ Discussion #210 — Coordination benchmark (open receipts) Re-run with your keys See open-box router ( ato bench run , cascade recipes) Practical takeaway: coordinate when you cannot pick/afford the best model; route to one model when you can. ATO’s job is that decision with recei","default_branch":null,"files":null,"tree":[],"storefront":"/r/WillNigri","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/WillNigri/Agentic-Tool-Optimization/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}