Agent frameworks

A multi-agent orchestration framework that mechanically enforces engineering rules on AI coding assistants, gating every code-changing turn on checks that reviewers ran, memory updated, and shipped files are supply-chain intact.

• Agent frameworks
• Code quality

A production-oriented multi-agent orchestration framework that runs agents as Temporal workflows with token budgets, WASI sandboxing, policy-based access control, and replayable, step-by-step execution history.

• Agent frameworks

A lightweight Python framework for building LLM-based agents, modeled on neural-network-style layers where agents pass typed messages and automatically record them to memory.

• Agent frameworks

A unified, open benchmark and framework for building, orchestrating and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 140+ scenarios across 9 asset classes and specialist agents for IoT, failure modes and work orders.

• Agent frameworks
• AI evals

A personal AI agent runtime that treats chat as just one interface onto a system of record for conversations, runs, tasks, approvals, memory, skills, jobs, tools, traces and audit events, reachable identically from a CLI, a web app, mobile and messaging bridges.

• Agent frameworks

An open-source, highly customizable agent workspace, with a high-performance Rust runtime and a desktop app, that offers four agent-harness modes for different kinds of work and keeps a task moving across desktop, mobile and browser.

• Agent frameworks
• Desktop

A large-language-model multi-agent framework, originating from AntGroup's financial business practice, providing reusable multi-agent collaboration patterns such as plan-execute-express-review and letting a team fold its own domain expertise into how agents work together.

• Agent frameworks

A set of ComfyUI nodes for building LLM-driven workflows visually: multi-tool agent calls, role-based assistants, local knowledge-base RAG and GraphRAG, multi-agent interaction patterns, chat-platform integrations, and speech and image generation nodes in one graph.

• Agent frameworks
• Workflow automation

An open-source, local-first platform that automates building, evaluating, optimizing and deploying multi-agent AI applications, generating a runnable agent app from a single natural-language description and having agents evaluate and rewrite their own skills.

• Agent frameworks

An open-source framework that coordinates a team of specialized AI agents, a Planner, a Manager and Workers, to manage a large software project through structured planning documents and reviewed task assignments instead of one long, degrading chat.

• Agent frameworks

A local-first personal AI agent that runs on a user's own devices, keeps a long-term memory of their life, browses the web, runs code, and talks over channels such as WhatsApp, then consolidates what it learned into reusable skills while the user is away.

• Agent frameworks
• Agent memory

A local-first AI agent that runs its control loop and all state on the user's own machine, driving the browser, editing files, running approved shell commands and remembering context across sessions, using small local models through llama.cpp or a cloud model.

• Agent frameworks

An open-source, self-evolving agent framework, inspired by OpenClaw, that updates its own memory, skills, conversational context and underlying model through automated feedback loops as it runs, alongside modules aimed at intercepting risky actions.

• Agent frameworks

A production-ready FastAPI template for building AI agent backends with LangGraph, handling stateful conversations, long-term memory, tool calling, observability, rate limiting and authentication so a team can focus on its own agent logic.

• Agent frameworks
• Backend

An open-source multi-agent collaboration system, modeled on imperial Chinese court bureaucracy, that deploys and coordinates specialized AI agents on top of OpenClaw.

• Agent frameworks

A single-binary, sandboxed personal agent server written in Rust that runs on the user's own hardware and connects to voice, messaging, and browser channels.

• Agent frameworks

A curated list of open-source frameworks, products, and tools for building AI agents, spanning orchestration frameworks, testing, software development, and browser automation.

• Agent frameworks
• Curated lists

An open-source platform for running production-grade managed agents, handling execution and durable state while the application supplies the model, tools, and machines.

• Agent frameworks
• Hosting

A visual, cross-platform desktop management panel for the OpenClaw, Hermes Agent, and DeepSeek Harness AI agent frameworks, with a built-in setup and troubleshooting assistant.

• Agent frameworks
• Desktop utilities

A cross-language programming model for building with LLMs, providing typed signatures, agents, optimizers, and flows that compile from one TypeScript-first core into Python, Java, C++, Go, and Rust libraries.

• Agent frameworks

A git-native, framework-agnostic standard for defining an AI agent so that cloning a repository is enough to get a portable, version-controlled agent.

• Agent frameworks
• Git

An open-source, self-hostable platform for running persistent AI agents with their own memory, tools, and computer access, available on the web, as a desktop app, and as a mobile app.

• Agent frameworks

An operating layer installed on top of Hermes Agent that adds planning, evidence-backed workflows, and honest reporting to coding, research, and operations tasks.

• Coding agents
• Agent frameworks

An educational AI agent microservice designed to be easy to understand and extend, used mainly to teach how AI agents work and to let institutions publish their own agents on the web.

• Agent frameworks
• Tutorials