Harnesses & SDKs

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

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.

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

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

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.

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

Kubernetes-native framework and runtime for building and running AI agents as Kubernetes custom resources.

Go framework for multi-agent systems with graph workflows, tools, session memory, MCP, A2A, AG-UI and OpenTelemetry.

Code-first Java toolkit for building and testing AI agents, with multi-agent hierarchies, a dev UI and Maven packages.

Python interface for running and evaluating agents from several frameworks, with OpenTelemetry traces; now in soft deprecation.