Ag

Agentic Orchestrator, a TUI for long-running coding agents

Hacker News

Agentic Orchestrator, a TUI for long-running coding agents

Hello Folks! Agentic Orchestrator is a terminal tool that takes complex feature requests and builds them by orchestrating coding agents through a series of phases that emulate a full-fledged engineering flow: requirements clarification, research, design, multi-phase planning, implementation, and review. It is a single pane of glass for all your features and exposes post-publish utilities such as resolving merge conflicts and responding to review comments. The key design choice is that this is deterministic orchestration on top of undeterministic agents: things like "human review gates", phase transitions, and artifact validations are all done by the harness in GO, while the agents take on "bite-sized" tasks. In the lifecycle of a feature, human judgment is typically needed during the "first half" of the workflow (from clarification to planning), depending on how much the developer wants to be involved. The "second half" (multi-phased implementation/review loop) typically executes while "AFK" unless the tool is unable to make progress without human intervention. Agentic Orchestrator is Apache2.0 and can be installed via Homebrew. You should be able to run it on macOS, Linux and WSL as long as you have `gh` and at least one of the following coding agents: OpenCode (tested with GLM-5.2), Codex, or Claude Code. While having a single coding agent is enough, in my setup I like to mix and match different agents/models for different phases (eg: claude/opus4.7 for planning, opencode/glm5.2 for implementing, codex/gpt5.5 for reviewing). I hope you enjoy it. Happy to answer any questions!

Visit product View on Hacker NewsJun 30, 2026

Actual performance

20points

2comments

Made the leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: mac, agents, macos · Missing: cursor, apple, mcp

99%99% 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 · Missing: supports, reddit linkedin, podcasting

69%69% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Missing: plus, platform, intuitive

35%35% predicted probability of success on AppSumo, based on ML models trained on real launch data.

Hacker NewsMay not resonate with HN audience · Strong signals: io · Missing: https docs, excited, just released

35%35% 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 · Missing: mobile apps, ios, personal

35%35% predicted probability of success on TrustMRR, 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.

Incorrect prediction on native model

Similar products

TreeWork61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Tree-guided development for long-running coding agents

SDK for AI Coding with Long Running Tasks48%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SDK for AI Coding with Long Running Tasks

Relay29%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI harness for long-running coding-agent tasks

Grok 4.684%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Frontier Intelligence for Long-Running Agents

Product Hunt+303Android

LoopTroop – local orchestrator for long-running autonomous AI coding34%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

LoopTroop – local orchestrator for long-running autonomous AI coding

Thel, a terminal app for long running sessions41%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Thel, a terminal app for long running sessions

Ouijit, command terminals running coding agents54%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Ouijit, command terminals running coding agents

Skygen57%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

AI agent that completes complex, long-running tasks

Indie Hackerscommitment-full-time

GPT-5.291%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Frontier model for professional work and long-running agents

Product Hunt+207Spreadsheets

Alert yourself after a long-running task in terminal53%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Alert yourself after a long-running task in terminal

Browse all products Analyze your launch