# mvschwarz/openrig > OpenRig is a harness orchestrator for AI coding agents: a team of agents (Claude Code and Codex) is defined in YAML and booted with one command, turning scattered terminal sessions into a managed team with a lead agent. - Magnitude: 4.9 out of 10 — Early signal - Stars: 392 total · +22 stars today, ≈ 45 by evening - Star trust: star growth looks organic - Category: AI agents · Language: TypeScript · License: Apache-2.0 · Created: 2026-04-01 · Last push: 2026-09-25 - GitHub: https://github.com/mvschwarz/openrig · Homepage: https://openrig.dev · Page: https://gitnova.dev/en/r/mvschwarz/openrig ## Useful for - Boot an owner-and-checker agent team for a single repository task - Send a task to the lead agent and track it in the queue via rig queue - Check agent readiness and resolve auth issues with rig ps ## Why it’s here - 22 stars so far today, about 45 expected by the end of the day. The usual pace is 0 per day, so that's 45× as much. - Before this, the repository barely got any stars — about 1 per day. - The spike has held for 3 days in a row — not a one-off blip. - GitHub Trending TypeScript today: #6, +86 stars. - About 15 forks a day — people are taking the code. ## Star trust Star growth looks organic. Star-trust labels are heuristics based on the repository’s behavior, not a check of every stargazer. ## Numbers - Forks: 51 - Issues and pull requests: 43 - Watchers: 4 - Average over the last week: 50 per day - Usual pace: 0 per day - Stars in the last hour (measured): 3 - Latest release: v0.5.14 (2026-09-14) ## Stars per day, last 30 days (oldest → newest, today is partial) 2026-08-27 … 2026-09-25: 0, 0, 0, 0, 0, 0, 0, 1, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0, 1, 0, 0, 0, 3, 4, 199, 97, 22 ## Spotted in now - GitHub Trending TypeScript today: #6, +86 stars ## More in this category 1. **paperclipai/paperclip** — 8.7 · Breakout · AI agents · TypeScript · +788 stars today, ≈ 1,337 by evening Open-source Node.js and React platform for orchestrating a team of AI agents: goals, org chart, budgets, tickets and audit. Suits teams running autonomous agents (Claude Code, Codex, Cursor, etc.) and wanting to manage them like employees. Full card: https://gitnova.dev/en/r/paperclipai/paperclip.md 2. **vectorize-io/hindsight** — 8.1 · Breakout · AI agents · Python · +509 stars today, ≈ 928 by evening Hindsight is a long-term memory system for AI agents that stores facts and observations rather than just conversation history, reporting state-of-the-art results on the LongMemEval benchmark. It runs as a server (Docker, pip, Helm) or… Full card: https://gitnova.dev/en/r/vectorize-io/hindsight.md 3. **google/ax** — 7.9 · Breakout · AI agents · Go · +391 stars today, ≈ 745 by evening A declarative orchestrator for running autonomous AI agent workloads in a cluster, using a Kubernetes-like model with Task, Workspace, Gateway, and Model manifests. It sandboxes agents, pre-wires their environment, and restricts network… Full card: https://gitnova.dev/en/r/google/ax.md 4. **NandhaKishorM/laya** — 7.7 · Cooling · AI agents · Python · +630 stars today, ≈ 1,196 by evening Laya is a non-autoregressive decision engine that answers typed questions (choice, score, noul) over any state (text, email, ticket, JSON) in a single forward pass (~35 ms on GPU) with calibrated probabilities. Full card: https://gitnova.dev/en/r/NandhaKishorM/laya.md 5. **Contrastive-LM/CLM** — 7.6 · Early signal · AI agents · Python · +179 stars today, ≈ 361 by evening CLM is a class of System One language models trained contrastively to connect states and actions; the repo serves CLM-8B behind a TypeSafe-compatible API for fast agent decision-making. Full card: https://gitnova.dev/en/r/Contrastive-LM/CLM.md --- Magnitude (0–10) measures how fast and how unusually interest in a repository is growing right now. It is not a quality score. Days are UTC. “So far today” is a fact; “expected by the end of the day” is a forecast. Summaries and use cases are written by an LLM (DeepSeek V4.1 Flash) from the README and may be inaccurate: verify specific claims (benchmarks, speed, hardware) in the repository itself. Data as of 2026-09-25 14:45 UTC, updated every 30 minutes.