Agenta
Self-HostedOpen-source platform for building, versioning, and deploying LLM applications
Overview
Agenta is an open-source tool that empowers developers to iterate on LLM prompts, compare versions, and deploy production-ready APIs without infrastructure overhead. It supports Docker for seamless self-hosting, integrates with popular LLMs (OpenAI, Llama, Mistral), and offers a collaborative UI for prompt engineering and testing. Teams can maintain control over their data while streamlining LLM app development—from prototyping to deployment—with minimal setup.
Key Features
- Prompt versioning and side-by-side comparison
- Dockerized deployment for self-hosting
- Integration with OpenAI, Llama, and custom LLMs
- Collaborative UI for team prompt engineering
Frequently Asked Questions
? Is Agenta hard to install?
Agenta uses Docker Compose for deployment—installation is as simple as running a single command from the official repository. The docs provide clear steps for self-hosting, making it accessible for users with basic Docker experience.
? Is it a good alternative to LangSmith?
Yes! Agenta offers core features like prompt versioning and deployment but is open-source, so you avoid recurring SaaS costs and retain full control over your data. It’s ideal for teams preferring self-hosted solutions over cloud-based tools.
? Is it completely free?
Agenta is 100% free and open-source under the MIT license. You only pay for your underlying server infrastructure and any LLM API calls you make (e.g., OpenAI, Anthropic) while using the platform.
Top Alternatives
Tool Info
Pros
- ⊕ Full data control via self-hosting
- ⊕ No subscription fees (open-source MIT license)
- ⊕ Simplifies LLM app deployment with one-click APIs
- ⊕ Supports team collaboration on prompt iterations
Cons
- ⊖ Requires basic Docker knowledge for self-hosting
- ⊖ Fewer pre-built integrations than proprietary SaaS tools
- ⊖ Limited advanced analytics compared to enterprise solutions