Harnesses & SDKs

Open-source Python toolkit for RAG and agents over your own data, with event-driven workflows and 300+ integration packages.

Open-source Python and TypeScript SDK for model-driven agents, with tools, MCP, multi-agent patterns and streaming.

Open-source SDK that connects AI agents to app front ends with chat UI, generative UI, shared state and human approvals; creator of the AG-UI protocol.

Rust library for LLM applications with agents, tool calling, streaming and 20+ model providers, plus a terminal coding agent.

Open-source agent harness for stateful agents whose memory persists and improves with use, with a terminal UI, app server and TypeScript SDK.

Open-source agent harness that runs the model loop for you, with MCP tools, skills, sandboxing, approvals and a chat UI.

Python SDK that runs the Claude Code agent loop inside your own program, with custom tools and hooks written as Python functions.

JavaScript and TypeScript framework of interoperable components for building LLM apps and agents, with LangGraph.js and Deep Agents above it.

Go framework for LLM applications with chat-model agents, multi-agent coordination, graph workflows and human-in-the-loop resume.

Python library that builds a tree index of long documents and has an LLM reason through it to retrieve answers, without a vector database or chunking.

Go implementation of LangChain for writing LLM-based programs from composable building blocks.

Open-source Python framework for multi-agent systems: agent societies, memory, RAG, code interpreters, synthetic data and large-scale simulation.

TypeScript SDK for persistent AI agents on Cloudflare Durable Objects, with state sync, scheduling and MCP support.

CLI-first Python agent framework and coding agent with MCP, A2A and Agent Skills support, live streaming and human input.

Python toolkit for signed identities, verifiable credentials and delegated authority for AI agents, with MCP and REST interfaces.

Embeddable version control system for files and SQL tables, with branch, diff, merge and rollback across both.

Lightweight Python framework and starting template for agents that let the model choose its own approach to each task.

Policy enforcement, identity, sandboxing and reliability tooling for autonomous AI agents, installable with one pip command.

TypeScript SDK with reference implementations of Hashgraph Consensus Standards and a Registry Broker client.

Python and TypeScript SDK that gives an AI agent a phone number, with pluggable LLM, speech and telephony providers.

Open-source reinforcement learning framework that trains LLM agents on multi-step tasks using GRPO.

Python framework that models an application as a state machine, with a trace UI and persisted state.

Python framework for LLM apps built from collaborating agents that hold conversation state, tools and vector-store memory.

Python library that turns files in S3, GCS and Azure into versioned, typed datasets for pipelines and agents.