Harnesses & SDKs

Python SDK for deploying agents to Amazon Bedrock AgentCore, a managed runtime with memory, gateway, tools and observability.

Browser infrastructure for AI agents: local and cloud Playwright-based browser sessions, scraping and deployable browser functions.

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

Java application framework from the Spring project with portable chat and embedding APIs, tool calling and vector stores.

Open-source access layer that connects AI agents to 1200+ integrations with shared auth, permissions and audit logs.

Open-source framework for real-time multimodal conversational AI, with RTC and WebSocket voice assistant examples.

Python SDK for building agents on Google Antigravity and Gemini, with the agent loop handled by the runtime.

Node.js distribution of the LiveKit Agents framework for realtime voice agents in LiveKit rooms.

Python SDK for multi-agent workflows with handoffs, guardrails, sessions and built-in tracing, usable with OpenAI and other LLMs.

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

Open-source Python framework for AI agents that cooperate on tasks, with human-in-the-loop workflows and multi-agent patterns.

Sample projects for the Strands Agents SDK, showing how to build agents in Python and TypeScript; not intended for production use.

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

Kotlin and Java framework for AI agents with tools, graph workflows, MCP, streaming and multiplatform targets.

Python SDK for TimeGPT, a time series foundation model for forecasting and anomaly detection.

OpenAI-compatible agentic API server for inference, vector stores, files and skills, on any model or infrastructure.

Python SDK for tracing agents and scoring their traces with prompt-based judges, to find failures in production.

JVM framework for agentic flows that plan toward goals, mixing LLM calls with code and domain models, usable from Kotlin or Java.

Ruby AI framework with one API for chat, tools, agents, streaming, embeddings and Rails integration across many providers.

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.

Quarkus extensions that connect LangChain4j to Quarkus apps, with declarative AI services and LLM, tool and embedding support.

TypeScript and JavaScript framework for multi-agent workflows with tools, handoffs, guardrails, sandboxes and voice agents.