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Rebuno
Open-source runtime for AI agents in production
Rebuno is an open-source runtime for production AI agents. It records and checks every tool and model call, so agents resume where they stopped and only do what they're allowed to.
Hi Product Hunt
I have been building Rebuno, an open-source execution runtime for AI agents.
Rebuno brings durable execution state, guardrails, and an audit trail into a shared runtime for agents built with different frameworks. Agents run as HTTP services, with Rebuno coordinating their execution.
Each connected tool or model call becomes a recorded step. Policies determine whether it can proceed, is denied, or needs approval. When a run resumes after an interruption, completed steps return their recorded outcomes. If a tool's outcome is unknown, Rebuno retries it only when the tool is configured as safe to repeat. Otherwise, it flags the uncertainty for the agent to handle.
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.
The blog post explains the design with diagrams:
https://rebuno.io/blog/introduci...
I'd be interested in hearing how others are running agents in production.
About Rebuno on Product Hunt
“Open-source runtime for AI agents in production”
Rebuno was submitted on Product Hunt and earned 3 upvotes and 1 comments, placing #62 on the daily leaderboard. Rebuno is an open-source runtime for production AI agents. It records and checks every tool and model call, so agents resume where they stopped and only do what they're allowed to.
On the analytics side, Rebuno competes within Open Source, Developer Tools, Artificial Intelligence and GitHub — topics that collectively have 1.1M followers on Product Hunt. The dashboard above tracks how Rebuno performed against the three products that launched closest to it on the same day.
Who hunted Rebuno?
Rebuno was hunted by Nathan Wong. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
For a complete overview of Rebuno including community comment highlights and product details, visit the product overview.
Nathan Wong