Build, orchestrate, and deploy multi-agent AI systems
A cloud platform for running 200+ open-source AI models at high speed — choose Llama, Mistral, Qwen, and more, paying only for actual compute used.
→ Use Together AI as the LLM backbone powering AutoGen agents
Microsoft's framework for building multi-agent AI applications with conversational agents that can code and collaborate.
→ Combine AutoGen agents with ChromaDB for persistent memory between runs
Stanford's programming framework for algorithmically optimizing LM prompts and weights for complex AI pipelines.
→ DSPy-optimized prompts feed directly into your AutoGen agent definitions
The open-source embedding database for building LLM applications with fast similarity search and filtering.
→ Connect ChromaDB to LangChain as the retrieval layer for RAG pipelines
Open-source framework for building applications powered by large language models. Includes LangSmith for debugging and monitoring LLM apps.
Framework for orchestrating role-playing autonomous AI agents that collaborate to accomplish complex tasks.