ClearCoreAI – Orchestrator for Modular AI Agents (Open Source)

Hacker News

Hey HN! I’ve just released ClearCoreAI, an open source orchestrator for modular AI agents. It lets you: - Register agents dynamically (via manifest) - Define goals in natural language and get a step-by-step execution plan - Chain capabilities across agents (multi-agent execution) - Track waterdrop-based resource usage (like carbon tracking) - All backed by FastAPI + Docker, and easily extendable. Docs, quickstart and examples: https://github.com/ClearCoreAI/ClearCoreAIProject I'd love feedback, questions, or contributors, especially around agent design, UI, or LLM strategies. Thanks for checking it out! Olivier

Visit product View on Hacker NewsJun 21, 2025

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

96%96% 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

58%58% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

TrustMRRFits verified-revenue profile · Missing: mobile apps, ios, personal

52%52% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

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

37%37% predicted probability of success on Hacker News, based on ML models trained on real launch data.

nativeThis product was originally launched on this platform.

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

31%31% 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

22%22% 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

5%5% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

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