Agenta
The open-source workspace for your agents
573 followers
The open-source workspace for your agents
573 followers
The open-source workspace for building and running AI agents. Build agents through chat, share them with your team.
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StellaYour emotional wellness AI. A friend to figure it out with.
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As a PM, have been trying several tools for evals, super excited to try this one!!
@rakshika_bawari We build Agenta specifically to target the problem of collaboration between PMs and developers. I look forward to your feedback!
tbh I was evaluating Langfuse and a couple other tools last months. What sold me on Agenta's pitch is the UI-first approach for non-dev SMEs. In our org SMEs need to tweak prompts without opening PRs and that workflow matters. Approval workflows would be a killer feature for larger orgs, TBF. Would love an API hook so we can gate prompt deploys via our CI pipeline.
Congrats on the launch Mahmoud and team!
@charlotteschmitt Thanks Charlotte!
Been juggling prompts in git and evals in notebooks. Agenta looks like the boring tooling I actually want. Open source is nice. Trace debug view = clutch. If it plays nice with PostHog/LangChain, I’m in. Saving this for next sprint.
@alexcloudstar we have Langchain integrations. Looking forward to your feedback!
@mahmoudmabrouk Love the open-source approach! 🚀
How do you handle prompt versioning when multiple teams are collaborating? Can you roll back to previous versions easily?
@mskyow Yes, that's one of the core functionalities in Agenta!
Everyone can create new versions of prompts. Add commit messages. We have a branching system that allows the whole team to work on prompts without touching production. Then deploy to production.
The production branch has its own history, so you can always roll back to the latest version in prod.
Tried a prompt tracing tool last year and TBH the hardest part wasn’t the traces themselves but connecting them to test suites. Agenta's evals + test-case approach sounds promising because we need deterministic tests for regression checks. In our case we was able to catch a prompt drift only after a month, so automated evals would be huge. Would love to know how easy it is to author evaluators for domain-specific metrics. IMO good CI hooks and a lightweight API make the difference between a demo and something you can rely on in production.
Cool. Congratulations on the launch! We’re also working on an AI project right now.