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Show HN: Agent Orchestrator, a local-first Harness Engineering control plane
I have spent a long time working in an XP/TDD style, so when AI coding tools became useful enough for real work, I adopted them quickly. The first bottleneck I hit was not code generation, it was verification: AI could write code and tests quickly, but I was still the person reviewing implementations, clicking through flows, checking logs, inspecting database state, and deciding whether the result was actually correct.<p>That pushed me to move validation further left. Before implementation, AI had to produce test plans. After implementation, it had to execute those plans too: drive the browser, inspect logs, check DB state, create tickets for failures, fix them, and retest until the output converged. Auth9 (<a href="https://github.com/c9r-io/auth9" rel="nofollow">https://github.com/c9r-io/auth9</a>) became the proving ground for that method. Once it was clearly working, I started building Agent Orchestrator so the process would not depend on me manually supervising every step.<p>By mid-February, I was already using early Orchestrator-style automation inside Auth9. In mid-March, I used it during the highest-risk refactor so far: replacing the headless Keycloak setup with a native `auth9-oidc` engine. The core replacement landed over 3 days, and the same method and tooling helped converge the follow-up technical debt and complete the community OIDC Certification tests by the end of the month. That was the point where I became confident this was useful not only for greenfield work, but for governing high-risk change in a real system.<p>At the time, "orchestration" was the word I cared most about, which is why the project got its name. Later, OpenAI's Harness Engineering framing gave me a better name for the broader shape of the work. The project today is a local-first Rust control plane for long-running agent workflows: YAML resources, SQLite-backed task state, machine-readable CLI output, structured logs, and guardrails around shell-based agents.<p>- GitHub: <a href="https://github.com/c9r-io/orchestrator" rel="nofollow">https://github.com/c9r-io/orchestrator</a> - Docs: <a href="https://docs.c9r.io" rel="nofollow">https://docs.c9r.io</a> - Auth9: <a href="https://github.com/c9r-io/auth9" rel="nofollow">https://github.com/c9r-io/auth9</a> - Install: `brew install c9r-io/tap/orchestrator` or `cargo install orchestrator-cli orchestratord` - License: MIT
Agent Orchestrator addresses the critical 'verification bottleneck' in AI-assisted coding through a sophisticated, local-first Rust control plane. While the technical foundation and dogfooding results are impressive, the project is in its infancy with minimal community traction and an unproven monetization model in a highly competitive landscape.