Agent Frameworks

An autonomous agent that takes work, does work, gets paid, and gets better at it.

Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.

The foundation layer for agentic intelligence.

Python Deep Agent framework built on top of Pydantic-AI, designed to help you quickly build production-grade autonomous AI agents with planning, filesystem operations, subagent delegation, skills, and structured outputs—in just 10 lines of code.

Blades is a Go-based multimodal AI Agent framework.

Rapida is an open-source, end-to-end voice AI orchestration platform for building real-time conversational voice agents with audio streaming, STT, TTS, VAD, multi-channel integration, agent state management, and observability.

The .NET library to build AI agents with 30+ built-in connectors.

Daydreams is a set of tools for building agents for commerce

A framework-agnostic, git-native standard for defining AI agents

A fast and minimal framework for building agentic systems

A transparent, minimal, and hackable agent framework. ~300 lines of readable code. Full control, no magic.

A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (RAG, Agents).

A Production-Ready Framework for Building Composable AI Agents

Autonomous prediction market trading agent | Wang Transform pricing engine calibrated on 291K+ contracts | Kalshi · Polymarket · Solana DFlow · Jito bundles · 633 tests

Autonomous AI agent that contributes to open source — discovers repos, analyzes code, generates fixes, and submits PRs

Action library for AI Agent

PocketGroq is a powerful Python library that simplifies integration with the Groq API, offering advanced features for natural language processing, web scraping, and autonomous agent capabilities. Key Features Seamless integration with Groq API for text generation and completion Chain of Thought (CoT) reasoning for complex problem-solving and more.