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Build high-performance async REST APIs with FastAPI, Python's fastest-growing web framework. Automatic OpenAPI/Swagger documentation, type-safe validation with Pydantic, native async/await support, and dependency injection for clean architecture.

Free open-source, config-driven LLM fine-tuning framework covering full and parameter-efficient fine-tuning (LoRA, QLoRA), preference tuning (DPO, KTO, ORPO), and reinforcement learning across many model families through declarative YAML configs.

Open-source all-in-one AI framework for semantic search, LLM orchestration, and language-model workflows, built around an embeddings database that unions sparse and dense vector indexes, graph networks, and relational databases, with pipelines, workflows, agents, and web and MCP APIs.

Lightweight, modular open-source Python framework for building agentic AI pipelines from atomic, composable components (agents, tools, context providers), built on Instructor and Pydantic.

Modular open-source Python framework for building AI agents and LLM workflows with structures, tools, memory, drivers, and RAG engines, from Griptape.

Open-source Python framework from Prefect for structured outputs and agentic AI workflows, with tasks, specialized agents, threads, and extract/cast/classify/generate utilities.

Open-source Python AgentOS and multi-agent framework, evolved from AutoGen, for building conversable agents, group chats, swarms, human-in-the-loop workflows, tool use, RAG, code execution, and provider-backed agent systems.

Open-source Python multi-agent framework for building agent societies, role-playing agents, stateful ChatAgent workflows, RAG agents, synthetic data generation, MCP-enabled use cases, and research-scale agent experiments.

Independent community library of 754 cybersecurity Agent Skills mapped to MITRE ATT&CK, NIST CSF 2.0, MITRE ATLAS, D3FEND, and NIST AI RMF for defensive security analysis, incident response, forensics, cloud security, SOC operations, and governed red-team workflows.

Official GreenSock GSAP AI Skills for coding agents that need correct GSAP tweens, timelines, ScrollTrigger, React cleanup, plugins, utilities, framework lifecycle guidance, and animation performance patterns.

JetBrains incubator Kotlin and JVM agent framework for building predictable, fault-tolerant AI agents with graph workflows, tools, MCP integration, memory, streaming, OpenTelemetry, Spring/Ktor integrations, and multiple LLM providers.

Idiomatic Java/JVM library for building LLM-powered applications with unified model APIs, tool calling, agentic workflows, RAG, chat memory, embedding stores, MCP client support, and Spring Boot, Quarkus, Helidon, and Micronaut integrations.

Open-source framework for building realtime voice, video, and multimodal AI agents with LiveKit rooms, STT, LLMs, TTS, job scheduling, telephony, MCP tools, testing, and production deployment paths.

Open-source Python multi-agent framework that assigns product manager, architect, project manager, engineer, and other software-company roles to LLM agents for natural-language programming, repo generation, data interpretation, research, debate, and custom agent workflows.

Microsoft framework for building, orchestrating, and deploying production AI agents and multi-agent workflows across Python and .NET, with workflows, middleware, OpenTelemetry, Foundry hosting, A2A, MCP, and Semantic Kernel migration support.

Microsoft open-source course for learning AI agents with lessons on agentic frameworks, design patterns, tool use, agentic RAG, trustworthy agents, planning, multi-agent systems, MCP/A2A/NLWeb, memory, browser use, and Microsoft Agent Framework.

Official PHP SDK for Model Context Protocol clients and servers, built with the PHP Foundation and Symfony project, published as `mcp/sdk` on Packagist, with framework-agnostic APIs, attribute discovery, manual registration, stdio and HTTP transports, sessions, tools, resources, prompts, sampling, and logs.

MIT-licensed skill and plugin framework by Jesse Vincent for Claude Code, Codex, Cursor, Gemini CLI, OpenCode, and other AI coding agents, covering brainstorming, planning, TDD, systematic debugging, subagent-driven development, code review, git worktrees, and finish-the-branch workflows.

Open-source TypeScript agent engineering framework and platform for building AI agents with tools, memory, workflows, RAG, guardrails, evals, MCP, voice, and VoltOps observability.

AWS-maintained proxy and Python library that lets MCP clients and agent frameworks connect to IAM-secured MCP servers on AWS by signing requests with AWS SigV4 credentials.

Third-party MCP server for searching Apple Developer Documentation, framework APIs, Swift and Objective-C references, sample code, platform compatibility, documentation updates, and WWDC session data.

Open-source framework for building internal coding agents that accept tasks via Slack, Linear, or GitHub, execute code changes in isolated cloud sandboxes, and open draft pull requests automatically.

Open-source framework from OpenAI for evaluating LLM and agent behavior with reusable eval definitions, grading logic, datasets, and regression workflows.

MCP server that gives Claude access to shadcn/ui component source, demos, blocks, metadata, and multi-framework implementations.

Open-source configuration framework that enhances Claude Code with slash commands, specialized agents, behavioral modes, and MCP server integrations for a more structured development workflow.

Source-backed Claude agent prompt for contributing to the official vercel/next.js monorepo using its AGENTS.md guidance, pnpm workspace commands, package-filtered builds, Turbopack and Rust boundaries, mode-specific tests, PR triage rules, and secrets-safety notes.

Open-source Python framework from Microsoft for identifying generative AI safety and security risks through automated and human-led red-team assessments.

Python agent framework from the Pydantic team for type-safe GenAI apps, tools, structured outputs, MCP, evals, and durable workflows.

Open-source evaluation framework for testing RAG systems, prompts, agents, workflows, and other LLM application behavior.

Open-source framework for building multi-agent AI applications, conversations, workflows, and autonomous systems.