Harnesses & SDKs

Code-first Go toolkit for building agents with a tool ecosystem, composable multi-agent systems and Cloud Run deployment.

Java framework for distributed, long-running agents with typed event streams, permission gating, middleware and subagents.

TypeScript toolkit for agents with Zod-typed tools, graph and multi-agent workflows, and Node.js or browser runtimes.

DSPy-style toolkit for typed LLM signatures, agents and flows, TypeScript-first with Python, Java, C++, Go and Rust libraries.

Java runtime for AI agents that streams tokens and tool events over WebSocket, SSE or gRPC, with human approvals.

Python framework for multi-agent teams and workflows, with a CLI and Docker, MCP and A2A deployment options.

Low-level Python orchestration framework for long-running stateful agents, with durable execution, human review points and short- and long-term memory.

Python and TypeScript framework for multi-agent systems, with MCP and A2A interop, YAML orchestration and OpenTelemetry tracing.

Opinionated agent harness on LangGraph with sub-agents, filesystem access, context management, persistent memory and approval of tool calls.

Typed Python SDK for building agents with swappable model providers, plus optional capabilities for memory, sub-agents, planning and durable execution.

Open-source toolkit for building, evaluating and deploying agents in Python, TypeScript, Go, Java and Kotlin, tuned for Gemini but model-agnostic.

Open-source Python framework for multi-agent workflows, with role-based Crews and event-driven Flows.

Open-source framework that routes each user query to one of several AI agents, with Python, TypeScript and Swift runtimes.

Python framework and runtime for building agents, serving them over a REST API and MCP server, and managing them from a web control plane.

Open-source Python framework for real-time voice and multimodal agents, built from composable pipelines with handoffs between specialist agents.

Java framework for agentic, workflow and multi-agent AI apps, with graph workflows, MCP and A2A support.

Python agent framework from Alibaba that lets the model drive tool use, with team pipelines, MCP, agent skills, A2A, memory and tracing.

TypeScript framework for AI agents with tools, memory, RAG, MCP and sub-agents, paired with a Cloud or self-hosted console.

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 AI agents that cooperate on tasks, with human-in-the-loop workflows and multi-agent patterns.

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

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

Python framework for generative AI agents, pipelines and parallel workflows, with RAG engines, tools, memory and swappable drivers.

All-in-one Python AI framework for embeddings-based semantic search, LLM pipelines, workflows and agents.