Choose for fine-grained graph-based orchestration and deep LangChain ecosystem integration.
Build resilient agents.
- 40.2k
- Python
- MIT
AI agent platforms / agent framework
Agno is a Python framework and runtime for building, running, and managing AI agent platforms, with SDK, runtime, web UI, and RBAC.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose for fine-grained graph-based orchestration and deep LangChain ecosystem integration.
Build resilient agents.
Choose when you want a lightweight, code-first toolkit from Google with strong evaluation support, without the platform runtime.
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Choose when you need cross-language (Python and .NET) agent orchestration with production deployment.
A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.
Choose when building agents in Go and prefer a Google-maintained code-first toolkit.
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Choose for Kotlin/JVM agent development in JVM-based microservices.
Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/
Choose for role-playing collaborative multi-agent frameworks focused on task completion.
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
Choose for an ultra-lightweight self-hosted personal agent with WebUI and MCP, not an enterprise platform.
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Choose when focused on prompt engineering, evaluation, and deploying LLM workflows.
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Choose for a fast path to production multi-agent workflows in Python, though less active.
The fastest way to bring multi-agent workflows to production.
Choose for a simple, lightweight multi-agent framework from OpenAI without platform extras.
A lightweight, powerful framework for multi-agent workflows
Choose when you want a batteries-included production harness built on LangGraph.
The batteries-included agent harness.
Choose for a production-focused multi-agent harness with strong operational tooling in Python.
Multi-Agent Harness for Production AI
Choose for quick deployment of autonomous self-improving agents with minimal boilerplate.
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.
Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.
Choose as a no-code visual platform for building and deploying AI agents without coding.
An AI agent development platform with all-in-one visual tools, simplifying agent creation, debugging, and deployment like never before. Coze your way to AI Agent creation.
Choose as a collaborative visual workspace for building, deploying, and monitoring agents as a team.
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
Choose for visual workflow automation with MCP servers and AI agent building in an end-user platform.
AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents
Choose when you want a visual command center to orchestrate and manage agent workflows.
Agent Orchestration Command Center
Choose for a fair-code visual workflow automation platform with native AI capabilities and 400+ integrations.
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Choose for an end-user platform to build agentic workflows and RAG pipelines with a collaborative workspace.
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.
Choose for building internal tools and AI agents via a visual app builder platform.
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 🚀
Choose for a fully-managed cloud platform to deploy AI agents and workflows.
Trigger.dev – build and deploy fully‑managed AI agents and workflows
Choose for an enterprise-grade visual agentic workflow platform in Java.
Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.
Choose as a self-hosted knowledge agent platform with RAG and multi-agent capabilities as an end-user product.
可私有部署的多租户知识智能体平台:统一 RAG、知识图谱、多智能体、MCP/Skills、沙盒与权限管理。Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.
These projects were analysed and named agno among their alternatives. The relationship is not symmetric — how agno rates them is a separate judgement, made when agno is analysed in its own right.
calls agno “Pick over CrewAI for a leaner, model-agnostic agent API with Apache-2.0 licensing.”
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
calls agno “Choose it for a similar Python agent framework with Apache-2.0 license and active development.”
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
calls agno “Choose it if you need a comprehensive Python platform for building, running, and managing agent platforms.”
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 agno “when you want a more compact all-in-one agent framework with built-in memory and knowledge rather than Swarms' enterprise-layer features”
The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai
calls agno “Use when you want bundled memory/knowledge/UI from the framework itself; seed expects you to assemble those pieces yourself.”
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 agno “a Python agent platform with comparable build/run/manage scope, pick it if you want a library-style API over IntentKit's cluster model”
IntentKit is an open-source, self-hosted cloud agent cluster that manages a collaborative team of AI agents for you.
calls agno “Choose when you want a Python agent platform with built-in runtime and management.”
AG2 (formerly AutoGen): The Open-Source AgentOS.Join us at: https://discord.gg/sNGSwQME3x
calls agno “framework for building agent platforms; choose for managing many agents and tools with a platform API.”
The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.
calls agno “Choose agno for a Python multi-agent framework with Apache-2.0 and similar team abstractions if you want a drop-in replacement for building agent apps.”
agentUniverse is a LLM multi-agent framework that allows developers to easily build multi-agent applications.
calls agno “Choose when you want a code-first Python multi-agent framework with Apache-2.0 licensing and a large ecosystem.”
Extensible AGI Framework
calls agno “code-first Python toolkit for building agent platforms; choose for programmatic control and lightweight deployment.”
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
calls agno “Code-first agent platform toolkit; choose when you need programmatic agent management without a web workspace.”
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 agno “Choose for a code-first platform to build and manage agent platforms, especially for production.”
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
calls agno “Choose it when you want to build/manage agent platforms in Python code rather than using a prebuilt management UI.”
The open-source app everyone uses to manage agents at work
calls agno “choose when you need a Python framework to build custom agent platforms rather than a TypeScript coding-agent harness.”
🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated
calls agno “Choose when you want a Python framework for building/running/managing agent platforms rather than Goose as a ready-made app.”
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
calls agno “Python SDK for building agent platforms, Apache-2.0 and code-first rather than visual.”
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 🚀
calls agno “Choose for a Python-native multi-agent platform with memory and tools instead of a browser agent UI.”
🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.
calls agno “Choose for a code-first Python SDK to build, run, and manage agent platforms.”
Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.
calls agno “General agent platform; choose it to build custom orchestration instead of using Symphony's turn-key workflow.”
Symphony turns project work into isolated, autonomous implementation runs, allowing teams to manage work instead of supervising coding agents.