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Open-source full-stack web framework for building web apps entirely in Python, compiling a Python frontend to React and Next.js while keeping state management and event handling in Python, useful for building UIs, dashboards, and tools for AI apps and agents.

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 library from dottxt for structured LLM generation, guaranteeing outputs that match a JSON schema, Pydantic model, regex, grammar, or multiple-choice set during generation across many model backends.

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.

Apache-2.0 Python framework for building visible, controllable, production AI agents and multi-agent services with event streaming, permission controls, workspaces, sandbox backends, middleware, MCP support, Mem0 memory, agent teams, and multi-tenant multi-session serving.

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.

MIT-licensed infrastructure for computer-use agents: background desktop drivers, MCP server support, Python SDKs, local/cloud sandboxes, macOS, Windows, Linux, Android, Cua Bench, GUI automation skills, and Lume virtualization for agents that see, click, type, and verify real desktops.

Hugging Face Python agent library for CodeAgent and ToolCallingAgent workflows, where agents write Python actions, call tools, use MCP tool collections, connect to Hub tools and spaces, run with LiteLLM or local models, and use optional sandboxes.

Open-source platform for stateful agents with long-term memory, Letta Code local CLI agents, hosted Letta API agents, Python and TypeScript clients, skills, subagents, custom tools, MCP dependencies, and persistent agent state.

Apache-2.0 Python framework for building MCP-native agents with composable workflow patterns, full MCP server lifecycle management, durable Temporal execution, agent-as-MCP-server support, and provider plugins for major LLMs.

Fullstack MCP framework for building MCP servers, MCP Apps, MCP agents, and MCP clients with TypeScript and Python SDKs, scaffolding, inspector tooling, hosted deployment, observability, OAuth, notifications, sampling, and agent integrations.

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.

Official Python SDK for Model Context Protocol clients and servers, published as the `mcp` package on PyPI, with FastMCP server helpers, client support, tools, resources, prompts, stdio, SSE, Streamable HTTP, authentication, elicitation, sampling, logging, and standalone development tools.

Official Python framework for building multi-agent workflows with agents, tools, handoffs, guardrails, sessions, tracing, realtime voice agents, MCP tools, hosted tools, human-in-the-loop flows, and sandbox agents.

MIT-licensed K-Dense Scientific Agent Skills pack for turning Claude Code, Codex, Cursor, OpenClaw, Gemini CLI, Antigravity, Pi, and other Agent Skills-compatible hosts into scientific research assistants across bioinformatics, chemistry, medicine, drug discovery, data analysis, and scientific writing workflows.

Open-source Python and TypeScript SDK for building model-driven AI agents with any model provider, MCP tools, streaming, multi-agent patterns, structured output, observability, hooks, guardrails, and production deployment guidance.

Python framework for autonomous AI agents, traditional agents, custom tools, MCP tools, prebuilt autonomous agents, workspace-restricted file and shell operations, E2B sandbox execution, OCR, document processing, and vector storage integrations.

Open-source MCP gateway, registry, and proxy from IBM that federates MCP servers, A2A agents, REST APIs, and gRPC services behind centralized discovery, governance, authentication, observability, and admin controls.

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.

MCP transport bridge that converts between stdio, SSE, and Streamable HTTP so local MCP clients can reach remote servers, or remote clients can reach local stdio servers.

Official MiniMax MCP server for using MiniMax text-to-speech, voice cloning, voice design, image generation, video generation, music generation, and media retrieval APIs from Claude and other MCP clients.

Open-source infrastructure for running AI-generated code in secure, isolated cloud sandboxes, with Python and JavaScript SDKs, a Code Interpreter package, and self-hosting options.

MCP server and FreeCAD add-on that lets Claude create, inspect, edit, delete, view, and analyze FreeCAD documents and objects through an RPC bridge.

Apache-licensed Ghidra MCP bridge with GUI and headless workflows for binary analysis, decompilation, scripting, debugger access, batch operations, and Ghidra Server collaboration.

Apache-2.0 Python framework for building production-ready conversational AI apps with chat lifecycles, messages, steps, actions, elements, authentication, persistence, and integrations.

Apache-2.0 Python framework for building and sharing machine-learning demos, AI web apps, model interfaces, chatbots, API front ends, and interactive evaluation tools.

Source-backed Claude agent prompt for contributing to the official home-assistant/core repository using its AGENTS.md guidance for PR templates, setup, Python 3.14, integration tests, translations, snapshots, and quality checks.

Apache-2.0 reactive Python notebook stored as pure Python for reproducible experiments, SQL-backed data workflows, script execution, app deployment, and AI-assisted editing.