Rebuno - An open-source runtime for production agents

Hacker News

I have been building Rebuno, an open-source execution runtime for operating AI agents in production. It manages execution state and guardrails across agents built with different frameworks. Agents run as HTTP services. Rebuno dispatches work through signed webhooks and keeps execution state in Postgres. Agents submit tool and model calls to Rebuno as steps before executing them. For each new step, Rebuno evaluates per-agent YAML policies, independently of the model's prompt. It can allow the call, deny it, or hold it for human approval. The agent executes permitted calls and reports their outcomes. Policy decisions and step outcomes are both recorded in one append-only event log. After an interruption, the agent starts its handler from the top. Steps with recorded outcomes return those outcomes instead of executing again. A crash can also leave a tool with no recorded outcome. Tools marked safe_to_retry run again, and tools marked at_most_once fail as indeterminate. How the agent handles an indeterminate step is up to its implementation. There are Python and TypeScript SDKs, and the repo includes examples using LangChain, CrewAI, Pydantic AI, Vercel AI SDK, and Mastra. Rebuno is free to self-host and released under the MIT licensed. I'd be interested in hearing how others are running or operating agents in production. Blog post with diagrams: https://rebuno.io/blog/introducing-rebuno Getting started: https://docs.rebuno.io/getting-started

Visit product View on Hacker NewsSep 14, 2026

Share card

Actual performance

3points

Did not reach leaderboard

Launch Intel predictions

Analyze your own launch →

Product HuntOn track for Day 1 leaderboard · Strong signals: agents, agent, model · 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 · Strong signals: started · Missing: supports, reddit linkedin, podcasting

67%67% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.

Hacker NewsStrong engagement from HN community · Strong signals: lua, io · Missing: https docs, excited, just released

66%66% 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

46%46% predicted probability of success on TrustMRR, based on ML models trained on real launch data.

AppSumoMay struggle as an AppSumo deal · Strong signals: host, calls · Missing: plus, platform, intuitive

27%27% 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

23%23% 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

1%1% predicted probability of success on BetaList, based on ML models trained on real launch data.

Incorrect prediction on native model

Similar products

KubeFox – Open-Source At-Runtime Versioning and Virtual Environments59%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

KubeFox – Open-Source At-Runtime Versioning and Virtual Environments

Hacker News2

Polos: Open-source runtime for AI agents with sandbox and durable exec58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Polos: Open-source runtime for AI agents with sandbox and durable exec

Hacker News2

Roids – Open Source Steroids for your Agents61%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Roids – Open Source Steroids for your Agents

Hacker News2

Agyn, an open-source Kubernetes runtime for AI agents49%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Agyn, an open-source Kubernetes runtime for AI agents

Hacker News9

ModelFuzz – Open-source runtime guardrails for AI agents45%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ModelFuzz – Open-source runtime guardrails for AI agents

Hacker News2

Chakra – An open source WASM runtime in Rust63%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Chakra – An open source WASM runtime in Rust

Hacker News2

ClawMoat – Open-source runtime security for AI agents (zero deps, <1ms)42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

ClawMoat – Open-source runtime security for AI agents (zero deps, <1ms)

Hacker News1

SlideSelection, an Open Source Hooper Selection Implementation47%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

SlideSelection, an Open Source Hooper Selection Implementation

Hacker News4

Piki is now open source73%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Piki is now open source

Hacker News2

Open Source CNC Beehive With Arduino and Sensors58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Open Source CNC Beehive With Arduino and Sensors

Hacker News1

Browse all products Analyze your launch