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Open-source alternatives to LangGraph

Compare community-driven replacements for LangGraph in ai agent frameworks workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.

LangGraph logo

LangGraph

LangGraph is a low-level orchestration framework in the LangChain ecosystem for resilient, graph-based agent workflows—supporting deployment of long-running, stateful agents and deep debugging/iteration with LangSmith.Read more
AI Agent Frameworks
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Key stats

  • 14Alternatives
  • 13Active development

    Recent commits in the last 6 months

  • 11Permissive licenses

    MIT, Apache, and similar licenses

Counts reflect projects currently indexed as alternatives to LangGraph.

All open-source alternatives

Composio logo

Composio

Unified SDKs to empower AI agents with real‑world tools

Active developmentPermissive licenseIntegration-friendlyTypeScript

Why teams choose it

  • Type‑safe TypeScript client for Node.js and browser environments
  • Pythonic async API supporting Python 3.10+
  • Provider packages for OpenAI, Anthropic, LangChain, Gemini, and more

Watch for

Vercel AI SDK support is missing in Python

Migration highlight

News summarization agent

Agent fetches latest Hackernews posts via Composio tools and returns concise summaries.

AutoGen logo

AutoGen

Build autonomous multi-agent AI applications with a flexible framework

Active developmentIntegration-friendlyAI-powered workflowsPython

Why teams choose it

  • Layered architecture (Core, AgentChat, Extensions) for flexible abstraction levels
  • Built‑in OpenAI and Playwright MCP integrations for LLM and web browsing
  • AutoGen Studio offers a no‑code GUI for rapid workflow prototyping

Watch for

Requires Python 3.10+ and familiarity with async programming

Migration highlight

Web‑enabled research assistant

Automatically browse the web, extract data, and summarize findings using the Playwright MCP integration.

Agno logo

Agno

Fast, private, scalable framework for building multi-agent AI systems

Active developmentPermissive licensePrivacy-firstPython

Why teams choose it

  • FastAPI‑ready runtime with SSE endpoints for production
  • Integrated UI control plane for real‑time monitoring and debugging
  • Model‑agnostic, type‑safe agent definitions with schema enforcement

Watch for

Requires Python and FastAPI expertise to get started

Migration highlight

Personalized Customer Support Bot

Provides consistent, context‑aware assistance across sessions using persistent user memory.

Claude Code Plugins logo

Claude Code Plugins

Modular AI agents and plugins for end-to-end software development

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Granular plugin architecture with minimal token load
  • 85 domain-expert agents covering development, ops, security, AI, and business
  • 47 progressive-disclosure skills for efficient knowledge activation

Watch for

Requires familiarity with Claude Code command syntax

Migration highlight

Full-stack feature implementation

Automatically scaffolds backend, frontend, tests, security checks, and deployment for a new OAuth2 authentication flow.

CrewAI logo

CrewAI

Lightning‑fast Python framework for autonomous multi‑agent automation

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Independent, built from scratch – no LangChain dependency
  • Crews: autonomous, role‑based agent teams
  • Flows: event‑driven, single‑LLM call orchestration

Watch for

Requires Python 3.10–3.13, limiting older environments

Migration highlight

Autonomous Customer Support Crew

Reduces response time by coordinating specialized support agents to handle tickets end‑to‑end.

Letta logo

Letta

Build stateful AI agents with persistent, self‑editing memory

Active developmentPermissive licensePrivacy-firstPython

Why teams choose it

  • Self‑editing memory blocks with in‑context and out‑of‑context storage
  • Tool integration for dynamic context engineering (e.g., web search, code execution)
  • Multi‑agent shared memory and sleep‑time background agents

Watch for

Requires an API key or self‑hosted server to run

Migration highlight

Customer Support Agent with Personalized History

Remembers each user's preferences and past tickets, providing tailored responses and reducing repeat inquiries.

Mastra logo

Mastra

TypeScript framework for building scalable AI agents and workflows

Active developmentIntegration-friendlyAI-powered workflowsTypeScript

Why teams choose it

  • Unified model routing across 40+ LLM providers
  • Autonomous agents with tool use and iterative reasoning
  • Graph‑based workflow engine with intuitive control flow

Watch for

Requires familiarity with TypeScript/JavaScript

Migration highlight

Customer support chatbot with tool‑calling

Handles queries, fetches order data via API, and escalates to a human when needed.

smolagents logo

smolagents

Run sandboxed code agents with minimal code and any LLM

Active developmentPermissive licenseFast to deployPython

Why teams choose it

  • Minimal code footprint (~1,000 lines) for full agent logic
  • CodeAgent writes actions as Python and executes in secure sandboxes (Docker, E2B, Modal, Pyodide+Deno)
  • Model‑agnostic architecture works with OpenAI, Anthropic, Together, HuggingFace, local Transformers, Azure, Bedrock, etc.

Watch for

Sandbox setup may require external services (E2B, Modal) or Docker

Migration highlight

Automated data analysis report

Agent fetches datasets, writes pandas scripts, executes them in Docker, and returns a formatted summary.

Pydantic AI logo

Pydantic AI

Build type-safe, observable GenAI agents the FastAPI way

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Model‑agnostic support for all major LLM providers
  • Full type‑safety with Pydantic validation moving errors to compile time
  • Integrated observability via Pydantic Logfire and OpenTelemetry

Watch for

Requires familiarity with Pydantic and type hints

Migration highlight

Bank support chatbot

Generates risk‑rated advice, can block cards after human approval, and returns structured support output.

Kortix logo

Kortix

Build, manage, and train autonomous AI agents with Kortix

Active developmentFast to deployIntegration-friendlyTypeScript

Why teams choose it

  • Visual agent builder with drag‑and‑drop workflow design
  • Docker‑isolated runtime for secure, scalable agent execution
  • Multi‑LLM integration via LiteLLM (Anthropic, OpenAI, etc.)

Watch for

Requires technical expertise to set up and maintain

Migration highlight

Customer Service Automation

Agent handles tickets, answers FAQs, escalates complex issues, and tracks satisfaction metrics.

SuperAGI logo

SuperAGI

Easily build, manage, and run autonomous AI agents

Permissive licenseFast to deployIntegration-friendlyPython

Why teams choose it

  • Provision, spawn, and deploy production‑ready autonomous agents
  • Marketplace of extensible toolkits for external system integration
  • Web‑based GUI and Action Console for real‑time interaction

Watch for

Active development stage may cause occasional instability

Migration highlight

Customer support ticket triage

Agents automatically classify, prioritize, and route tickets, reducing manual handling time.

Microsoft Agent Framework logo

Microsoft Agent Framework

Unified framework for building, orchestrating, and deploying AI agents

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Graph‑based workflow orchestration with streaming and checkpointing
  • Cross‑language API parity for Python and .NET
  • Built‑in OpenTelemetry observability

Watch for

Prerelease packages may be less stable

Migration highlight

Customer support chatbot with escalation

Automates routine inquiries and routes complex issues to human agents via workflow orchestration.

PraisonAI logo

PraisonAI

Build, coordinate, and run multi‑AI agents with low‑code simplicity

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Automated multi‑agent creation with self‑reflection
  • Short‑term and long‑term memory across agents
  • 100+ built‑in tools and LangChain integration

Watch for

Requires an OpenAI API key for many models

Migration highlight

Automated research summarization

Agents research a topic, summarize findings, and produce a concise report without manual intervention.

Atomic Agents logo

Atomic Agents

Build modular AI agents with predictable, reusable components.

Active developmentPermissive licenseIntegration-friendlyPython

Why teams choose it

  • Single‑purpose, reusable components (agents, tools, context providers)
  • Typed input and output schemas via Pydantic for predictable behavior
  • Dynamic context injection through Context Providers

Watch for

Requires Python proficiency and understanding of Pydantic

Migration highlight

Customer support assistant with follow‑up suggestions

Generates helpful answers and three relevant follow‑up questions, improving ticket resolution.

Choosing a ai agent frameworks alternative

Teams replacing LangGraph in ai agent frameworks workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.

  • 13 options are actively maintained with recent commits.

Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from LangGraph.