AutoGen

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.

LangChain

Build context-aware reasoning applications

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

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.

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.