Ag

Agent Orchestrator, a local-first Harness Engineering control plane

Hacker News

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. 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 ( https://github.com/c9r-io/auth9 ) 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. 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. 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. - GitHub: https://github.com/c9r-io/orchestrator - Docs: https://docs.c9r.io - Auth9: https://github.com/c9r-io/auth9 - Install: `brew install c9r-io/tap/orchestrator` or `cargo install orchestrator-cli orchestratord` - License: MIT

Share card

Actual performance

15points
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, agent · Missing: macos, cursor, claude
88%88% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
71%71% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
59%59% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: month · Missing: mobile apps, ios, personal
31%31% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive
28%28% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
19%19% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

En
Enough, an Agent Harness for Writers50%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Enough, an Agent Harness for Writers

Hacker News3
Pl
Plane Above Me51%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Plane Above Me

Hacker News1
Ov
Overlord - An OpenFlow control plane application39%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Overlord - An OpenFlow control plane application

Hacker News3
ArchonSpecs
ArchonSpecs48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Architecture Control Plane for AI-native backend engineering

Indie Hackers1ai
Op
OpenRig – a control plane for multi-agent coding topologies59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

OpenRig – a control plane for multi-agent coding topologies

Hacker News6
Aegisora
Aegisora87%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

The narrow control plane for AI agent tool and API calls.

Product Hunt+95Developer Tools
Lo
Local-first multi-agent harness49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Local-first multi-agent harness

Hacker News2
Hy
Hydra, a local-first trust control plane that routes AI by confidence25%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Hydra, a local-first trust control plane that routes AI by confidence

Hacker News2
Pl
Plurnk (Yet *Another* AI Harness)49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Plurnk (Yet *Another* AI Harness)

Hacker News1
Se
Several Open Source Control Plane of API Gateways54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Several Open Source Control Plane of API Gateways

Hacker News2