AgentGPT

Auto-GPT

Autonomous AI agent framework

Auto-GPT is an experimental open-source application showcasing the capabilities of the GPT-4 and GPT-3.5 language models. It chains together LLM thoughts to autonomously achieve user-defined goals. Users can assign tasks and let the AI work through them independently.

Anthropic Console

Enterprise-grade AI for developers

The developer gateway to Claude models, offering advanced controls like prompt caching and Artifacts rendering via API.

Agno

High-performance multimodal AI agent framework with native memory and speed

Agno (formerly Phidata) is a lightweight, ultra-fast Python framework engineered for building production-grade autonomous multi-agent systems with native memory, knowledge retrieval, and multimodal reasoning capabilities. It is designed to replace bloated agent frameworks with a pure, pythonic developer experience. Agno agents operate up to 10x faster than legacy orchestration libraries by eliminating unnecessary abstractions. With built-in support for vector databases (PgVector, Qdrant, Pinecone), structured output schemas, and agent-to-agent delegating protocols, developers can build complex autonomous assistants with under 20 lines of clean code.

Langfuse

Open source LLM observability, tracing, and evaluation platform

Langfuse is an open-source LLM engineering and observability platform built for teams developing production-grade generative AI applications and autonomous multi-agent pipelines. It captures granular traces across token usage, prompt versions, latency bottlenecks, and retrieval accuracy, giving developers complete visibility into model behavior at runtime. By integrating seamlessly with major AI frameworks such as LangChain, LlamaIndex, LiteLLM, and the OpenAI SDK, Langfuse eliminates the guesswork from debugging complex agent execution trees. Developers can monitor production cost metrics, identify hallucinated responses, and run rigorous continuous evaluation suites on live traffic.

Relevance AI

Build and deploy custom AI agents and workflows

Relevance AI is a platform designed to create AI workforces by combining LLM agents, tasks, and data pipelines. It provides an intuitive low-code workspace to build autonomous agents that execute multi-step operations.

LangChain

Build context-aware reasoning applications

The most popular framework for developing applications powered by large language models, including agents and RAG.