LangChain

Hugging Face

The open platform for AI builders

A collaborative platform for the machine learning community to share and build models, datasets, and demo apps (Spaces). It serves as the primary repository for open-source AI.

Anthropic Console

Enterprise-grade AI for developers

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

AutoGen

Microsoft multi-agent framework

AutoGen is a framework developed by Microsoft for building multi-agent conversational systems. It enables multiple agents to collaborate and solve tasks through conversation.

Salt Security

Secure the APIs behind AI agents.

Salt Security provides runtime protection for APIs, specifically securing AI agents and their interactions. It detects and prevents attacks targeting API-driven AI systems.

Composio

Toolset & integration platform connecting AI agents to 250+ enterprise apps

Composio is a production-grade toolset and authentication platform that enables autonomous AI agents to interact with over 250 external applications and developer APIs. While LLMs excel at reasoning, giving agents permission to execute real actions across GitHub, Slack, Jira, Gmail, Salesforce, and Linear traditionally requires writing complex OAuth authentication flows and API wrappers. Composio eliminates this boilerplate by providing managed OAuth 2.0 authentication, dynamic tool-calling schemas, and sandboxed action execution in Python and TypeScript. Compatible with all leading agent frameworks (including CrewAI, LangChain, AutoGen, LlamaIndex, and OpenAI Assistants), Composio transforms passive chatbots into capable autonomous operators that can manage GitHub PRs, send calendar invites, and update CRM records.

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.