Agenta
FreeOpen-source LLMOps platform for prompt management, LLM evaluation, and observability. Build, evaluate, and monitor production-grade LLM applications. [#opensource](https://github.com/agenta-ai/agenta)
About Agenta
Agenta is an open-source workspace for building, evaluating, and monitoring AI agents. Users can create agents through natural language chat, iterate with feedback, and share agents with their team. It supports version control for prompts, skills, and tools, provides tracing for every run, includes human-in-the-loop approval, and offers scheduling and event-triggered automation. Agents can be built with multiple model providers (Anthropic, OpenAI, Ollama, xAI, OpenRouter) and run locally or in the cloud. The platform also includes evaluations, playground for side-by-side comparison, and role-based access control. Pricing includes a free hobby tier, paid cloud plans, and an open-source self-hosted option.
Key Features
Pros & Cons
- Open-source with a free forever tier (Hobby) for up to 2 team members
- Very flexible – supports multiple LLM providers, harnesses, and runtimes
- Built-in versioning and traceability for every agent run
- Human-in-the-loop approval prevents unintended actions
- Active community and regular updates visible on changelog and roadmap
- Supports scheduling and event triggers for automated workflows
- Free tier limited to 5,000 agent runs per month and 2 team members
- Advanced features (SSO, audit logs, custom retention) require higher-tier plans or enterprise
- Self-hosted setup may require technical expertise (Docker Compose)
- Relatively new platform – ecosystem and integrations still growing