Agent frameworks

An open agent operating system providing a CLI, HTTP API and a set of first-party capsules for building an inspectable, composable environment to run agents.

• Agent frameworks

An open-source SDK for building and running AI agents in Python and TypeScript, providing lifecycle controls, tools, MCP support, multi-agent patterns, memory, tracing and evals in-process.

• Agent frameworks

An open-source, general-purpose autonomous agent driven by large language models, built from a dispatcher, planner and actor that break down and execute tasks in a sandboxed tool server.

• Agent frameworks

A Rust library for building modular, scalable LLM-powered applications, with a unified interface across more than 20 model providers and 10 vector stores.

• Agent frameworks

A safe, private runtime for fleets of autonomous AI agents that enforces file, process and network access through kernel-level sandboxing and policy checks.

• Agent frameworks
• Containers

An open-source, code-first Go toolkit for building, evaluating and deploying AI agents, optimized for Gemini but model- and deployment-agnostic.

• Agent frameworks

A single control-plane process that deploys, routes, secures and observes A2A-speaking AI agents behind one gateway, with an LLM router that never exposes a real API key to an agent.

• Agent frameworks
• LLM gateways

An enterprise agentic-workflow development platform that combines AI workflow orchestration, model management, MCP tool integration, RPA automation and team collaboration, released under a commercial-friendly license.

• Agent frameworks
• Workflow automation

A multi-agent framework for building autonomous agents that research, plan, code and execute tasks, with a five-layer stack covering prompts, context, tools, execution loop and deployment.

• Agent frameworks

A self-hosted AI research assistant that runs agentic, multi-step research across many LLMs and more than ten search engines, including private documents, with proper citations.

• Agent frameworks
• RAG

A family of GUI agent models and systems from Tongyi Lab for automating desktop, mobile and browser interfaces, built on GUI-Owl foundation models with tool and MCP calling and long-horizon memory.

• Agent frameworks
• Models

A virtual filesystem backed by a Durable Object's SQLite state, giving an AI agent a pluggable execution surface: a sandboxed container, an isolated shell, or isolated JavaScript.

• Agent frameworks
• Containers

A Spring-friendly application framework for AI engineering, providing portable, strongly-typed APIs that connect enterprise data and services to AI models across many providers.

• Agent frameworks

A multi-device agent framework that decomposes tasks into a dynamic DAG (Galaxy) and coordinates per-device agents (UFO2) across heterogeneous platforms over a unified agent protocol.

• Agent frameworks
• Workflow automation

An AI agent engineering platform combining an open-source TypeScript framework for building agents with memory, tools and workflows, and a console for observability, evaluation and deployment.

• Agent frameworks
• AI evals

An open-source reinforcement-learning framework that trains multi-step agents on real-world tasks using GRPO, so a model learns from the outcome of its own actions.

• Agent frameworks
• Models

A production-ready Java framework for building agentic, workflow and multi-agent applications on top of Spring AI, with a graph runtime and a one-stop platform for agent development and management.

• Agent frameworks

A zero-setup, model-agnostic runtime for multi-agent 'colonies' that coordinate through a shared ledger and a persistent plan, aimed at running production business processes reliably.

• Agent frameworks

An open-source framework for building real-time, multimodal conversational voice AI agents, with example agents, voice activity detection, turn detection and deployment tooling.

• Agent frameworks
• Speech

An open-source React toolkit for building agents that render generative UI: components are registered with schemas, and an agent chooses and streams the right one as it responds to a request.

• Agent frameworks

A minimalist LLM framework implemented in about 100 lines of Python, providing a single graph abstraction that agents, workflows and RAG pipelines can be built from without vendor-specific wrappers.

• Agent frameworks

A suite of tools for building LLM applications: create flows that link prompts, LLMs and Python code, then test, evaluate and deploy them to production.

• Agent frameworks
• AI evals

An open-source, local-first agentic workspace that enterprises can shape to their own tools, connecting existing chat apps and 100-plus integrations to any coding agent or model, with shared memory.

• Agent frameworks
• Agent memory

An open-source, enterprise-focused LLM application DevOps platform combining a visual generative-AI workflow builder, retrieval-augmented generation, agents, model management, evaluation and fine-tuning.

• Agent frameworks
• RAG