12.5KUpdated 1 month agoApache-2.0
Web#LLM tracing#Multi-user access#Streaming inference
Chainlit is an open-source Python framework for developers building conversational AI apps with their own application logic. You can run the app on your own server and give users a browser chat interface. It's a framework for creating an app, rather than a ready-made chatbot with a fixed model.
4.8KUpdated 1 day ago
Docker · Web#Git integration#Human approval#LLM tracing
Agenta is an MIT-licensed, open source workspace for teams that want AI agents to handle tasks in chat and continue recurring work in the background. You can self-host it with Docker Compose or Helm to keep agents and workspace data on your infrastructure, or use Agenta Cloud as a hosted service.
9.4KUpdated 1 day agoApache-2.0
macOS · Windows · Linux · iOS · Android · Web#Batch processing#LLM tracing#Structured output
BAML is a programming language for developers building AI agents, with typed model calls and local tracing built into the language. It runs standalone on macOS, Linux and Windows, or alongside an existing application. The language is open source under Apache 2.0, and works offline.
29.8KUpdated 1 day agoMIT
macOS · Windows · Linux#Code execution#Guardrails#Human approval
OpenAI Agents SDK is an open-source Python framework for developers building AI apps that need to use tools, delegate tasks, or work across multiple steps. Its runtime manages agent turns and conversation state while letting developers express workflows in ordinary Python. It uses the MIT license.
11.7KUpdated 24 hours ago
Docker · Web#LLM tracing#MCP#Ollama integration
Arize Phoenix is a self-hosted platform for developers who need to understand why an AI agent failed and test changes before shipping them. It runs on a laptop, in Docker, or on Kubernetes. Self-hosting keeps traces on your infrastructure; Phoenix Cloud provides a hosted alternative. Phoenix uses the Elastic License 2.0 (ELv2), a source-available license.
28.2KUpdated 1 day agoApache-2.0
Docker · Web#Batch processing#LLM tracing#MCP
MLflow brings agent tracing, LLM evaluation, and model experiment tracking into a platform you can run locally or on your own servers. It's for developers and teams who need to understand failures, compare changes, and monitor AI applications in production. It's open source under Apache 2.0.
7.2KUpdated 24 hours ago
Docker#Guardrails#LLM tracing#Tool calling
NeMo Guardrails is an open-source Python toolkit for developers who need control over how an AI assistant responds and uses tools. It runs within your application or as a self-hosted server, including in Docker. The library uses the Apache 2.0 license.