An open-source LLMOps platform for prompt management, evaluation, and debugging.
Product memo
AI teams building LLM applications use Agenta to manage prompts, evaluate models, and debug traces. It replaces scattered prompts and siloed collaboration with integrated tools for faster iteration. This platform helps teams build reliable LLM applications by centralizing essential development workflows.
For who
AI teams building LLM applications
Solves what
Provides an open-source LLMOps platform for prompt management, evaluation, and debugging.
- Prompt management
- LLM evaluation
- Observability & debugging
In their own words
The open-source
LLMOps platform
Build reliable LLM apps together with integrated prompt management, evaluation, and observability.
Commercial cues
Model
usage based
Free tier
Yes
Trial
No
Pricing Strategy
- • A free tier with trace and user limits drives initial adoption.
- • The Pro tier adds users and traces, scaling with team growth.
- • Usage-based pricing follows actual activity.
Operator context
Operating setup
Founded
Nov 2025
Platform
Web app
Audience
Developers
Social footprint
Tech stack
Market demand
Agenta keyword demand
5 keywords
Market demand is Starter-tier market intelligence.
Derived from this product’s latest SimilarWeb keyword mix — directional demand, not proof.
Builder Strategy
- Strategy Type
- Open Source Commercial
- Stage
- Pre Revenue
- Effort
- Small Team
About Agenta Expand
Agenta offers an open-source LLMOps platform designed for AI teams developing large language model applications. It centralizes prompt management, LLM evaluation, and debugging traces, addressing common pain points like scattered prompts and siloed collaboration.
The platform's integrated tools help teams iterate faster and build more reliable LLM applications. Its open-source nature serves as an adoption wedge, building trust and community among developers while commercial tiers price based on usage and team size.