drop-in peer; choose when optimizing for OpenAI models and lightweight multi-agent primitives.
A lightweight, powerful framework for multi-agent workflows
- 28.9k
- Python
- MIT
AI agent development / orchestration
Open-source Python framework for building, evaluating, and deploying multi-agent AI systems with a graph-based runtime.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
drop-in peer; choose when optimizing for OpenAI models and lightweight multi-agent primitives.
A lightweight, powerful framework for multi-agent workflows
batteries-included Python agent harness; choose for opinionated policies built on LangGraph.
The batteries-included agent harness.
Python/.NET agent framework from Microsoft; choose for cross-language .NET integration.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
orchestrates external CLI agents rather than letting you build agents directly.
Omnigent is an open-source AI agent framework and meta-harness: orchestrate Claude Code, Codex, Cursor, Pi, and custom agents — swap harnesses without rewriting, enforce policies and sandboxing, and collaborate in real time from any device.
Java-based enterprise workflow platform, not a Python code-first SDK.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Java framework for distributed long-running agents.
Build distributed, production-grade, long-running agents.
TypeScript platform for agent management rather than a Python code-first toolkit.
Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.
Rust core with Python wrapper for high-performance multi-agent workflows.
GraphBit is the world’s first enterprise-grade Agentic AI framework, built on a Rust core with a Python wrapper for unmatched speed, security, and scalability. It enables reliable multi-agent workflows with minimal CPU and memory usage, making it production-ready for real-world enterprise environments.
Go-based agent framework with different runtime and language ecosystem.
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agnostic, event-driven, with multi-agent workflows, MCP tool discovery, and production-grade observability.
Python layer over LangGraph with Dify DSL support, a different abstraction stack.
Graph-Orchestrated Agent Loop — a production-grade framework on LangGraph. Combine workflow graphs and agent loops, transpile Dify DSL to runnable code, swap wire protocols (Dify/OpenAI).
memory-first agent harness with deep research focus, different emphasis than ADK.
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
C#-centric LLM orchestration SDK with a broader app-integration scope.
Integrate cutting-edge LLM technology quickly and easily into your apps
production multi-agent harness with a different runtime model.
Multi-Agent Harness for Production AI
TypeScript-based agent engineering platform, not Python.
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
MCP-centric workflow patterns; choose for an MCP-native stack.
Build effective agents using Model Context Protocol and simple workflow patterns
lower-level SDK for building your own agent harness.
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
runtime-layer agent harness in TypeScript, different deployment model.
The open-source agent harness - the runtime layer that turns an LLM into a working agent.
lower-level graph orchestration library; choose if you want to hand-code state machines.
Build resilient agents.
event-driven framework for multi-agent systems on a message broker.
An event-driven framework designed to build and orchestrate multi-agent AI systems. It enables seamless integration of AI agents with real-world data sources and systems, facilitating complex, multi-step workflows.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
lighter-weight personal agent framework with WebUI; suitable for self-hosted personal use, not enterprise orchestration.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
end-user personal agent application, not a developer framework.
The agent that grows with you
end-user AI assistant with one-line install, not a code-first framework.
Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
personal AI assistant app with computer/browser-use features.
⚡️next-generation personal AI assistant powered by LLM, RAG and agent loops, supporting computer-use, browser-use and coding agent, demo: https://demo.openagentai.org
Go rewrite of an end-user assistant app with multi-tenant focus.
GoClaw - GoClaw is OpenClaw rebuilt in Go — with multi-tenant isolation, 5-layer security, and native concurrency. Deploy AI agent teams at scale without compromising on safety.
These projects were analysed and named adk-python among their alternatives. The relationship is not symmetric — how adk-python rates them is a separate judgement, made when adk-python is analysed in its own right.
calls adk-python “when you prefer Google's code-first agent toolkit with built-in evaluation and deployment controls.”
An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.
calls adk-python “Choose for a Google-maintained, code-first Python agent toolkit with built-in evaluation and deployment tooling.”
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
calls adk-python “choose it if you prefer Google's code-first agent development and deployment toolkit.”
Build resilient agents.
calls adk-python “Code-first agent framework from Google; choose it for first-party Google ecosystem and Apache-2.0 licensing.”
The batteries-included agent harness.
calls adk-python “Choose when you need Google's code-first Python agent toolkit with built-in evaluation and deployment features.”
A lightweight, powerful framework for multi-agent workflows
calls adk-python “choose for a code-first Python toolkit from Google with evaluation/deployment tooling.”
Integrate cutting-edge LLM technology quickly and easily into your apps
calls adk-python “choose if you want Google's code-first Python toolkit with built-in evaluation and deployment support.”
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
calls adk-python “Choose it if you want an official Google-backed Python agent toolkit with built-in evaluation and tracing.”
PraisonAI 🦞 — Hire a 24/7 AI Workforce. Stop writing boilerplate and start shipping autonomous self-improving agents that research, plan, code, and execute tasks. Deployed in 5 lines of code with built-in memory, RAG, and support for 100+ LLMs.
calls adk-python “when you want Google's code-first agent development kit with built-in evaluation and deployment for multi-agent workflows”
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
calls adk-python “Use when Google's code-first agent toolkit with Vertex AI integration is valuable; seed is more cloud-independent.”
Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.
calls adk-python “Choose when you want a Google-backed Python agent toolkit with built-in evaluation and deployment paths.”
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
calls adk-python “code-first Google ADK; choose if you prefer a Google-maintained toolkit with broad model support.”
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
calls adk-python “Google's code-first Python toolkit for agent development; choose for Agent Development Kit API and Google cloud integration.”
The agent that grows with you
calls adk-python “code-first Python toolkit for sophisticated AI agents; choose for full control and evaluation workflow.”
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
calls adk-python “Code-first Google Python toolkit; choose when you want direct control over agent code instead of a visual editor.”
Build Agentic workflows, RAG pipelines, with rich AI model and tool support on one collaborative workspace. Deploy on cloud, VPC, or self-hosted, so teams move from prototype to production without rebuilding the stack.
calls adk-python “Choose for a code-first Python toolkit from Google with strong agent evaluation capabilities.”
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
calls adk-python “Google's code-first agent toolkit with evaluation focus; use for building/testing agents from scratch.”
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
calls adk-python “choose if you want Google's code-first agent development kit with built-in evaluation and deployment, rather than a ready assistant.”
Open-source super AI assistant & Agent Harness. Plans tasks, runs tools and skills, self-evolves with memory and knowledge. Multi-agent, multi-model, multi-channel. Lightweight, extensible, one-line install. (formerly chatgpt-on-wechat)
calls adk-python “Choose when you want a lightweight, code-first toolkit from Google with strong evaluation support, without the platform runtime.”
Build, run, and manage agent platforms.
calls adk-python “Google's code-first agent toolkit, good for production agent apps with deep API control.”
ToolJet is the open-source foundation of ToolJet AI - the enterprise app generation platform for building internal tools, dashboard, business applications, workflows and AI agents 🚀