AltHub

langchain-ai/langgraph Alternatives

AI agent orchestration / workflow framework

Low-level Python orchestration framework for building stateful, long-running AI agents with durable execution and human-in-the-loop control.

40.2kPythonMITactive · last push 2mo agoGitHub

Drop-in peers

Same problem, same approach. Swapping one for another is a config change, not a rewrite.

aden-hive/hiveGitHub

choose it if you want an Apache-2.0 Python multi-agent harness with its own orchestration model.

Multi-Agent Harness for Production AI

10.9k
Python
Apache-2.0
active2mo ago
InfinitiBit/graphbitGitHub

choose it if you want a Python-usable agentic framework backed by a Rust core for performance.

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.

579
Rust
Apache-2.0
active4mo ago
openai/openai-agents-pythonGitHub

choose it if you prefer OpenAI's agent/handoff model over a graph state machine.

A lightweight, powerful framework for multi-agent workflows

28.9k
Python
MIT
active2mo ago
google/adk-pythonGitHub

choose it if you prefer Google's code-first agent development and deployment toolkit.

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

21.5k
Python
Apache-2.0
active27d ago

Same job, different approach

Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.

microsoft/semantic-kernelGitHub

choose it if your app is on .NET/C# and you want a Microsoft-maintained agent/LLM SDK.

Integrate cutting-edge LLM technology quickly and easily into your apps

28.5k
C#
MIT
active2mo ago
microsoft/agent-frameworkGitHub

choose it if you want Microsoft's cross-language agent orchestration instead of LangGraph.

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

13.5k
Python
MIT
active26d ago
VoltAgent/voltagentGitHub

choose it if you want a TypeScript-native agent engineering framework.

AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework

10.4k
TypeScript
MIT
active2mo ago
omnigent-ai/omnigentGitHub

choose it if you need to orchestrate external agent harnesses (Claude Code, Codex, etc.) rather than build graph state machines.

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.

10.1k
Python
Apache-2.0
active21d ago
lastmile-ai/mcp-agentGitHub

choose it if you want MCP as the core protocol for agent workflow patterns.

Build effective agents using Model Context Protocol and simple workflow patterns

8.5k
Python
Apache-2.0
slowing9mo ago
strands-agents/harness-sdkGitHub

choose it if you want a polyglot Python/TypeScript SDK for building custom agent harnesses.

Build an agent harness and control it end-to-end. Open-source SDK for production AI agents in Python & TypeScript - any model, any cloud.

7.0k
Python
Apache-2.0
active2mo ago
agentscope-ai/agentscope-javaGitHub

choose it if you need a Java framework for distributed, long-running agents.

Build distributed, production-grade, long-running agents.

5.6k
Java
Apache-2.0
active27d ago
truefoundry/trueforgeGitHub

choose it if you want a TypeScript harness runtime that turns LLM calls into working agents.

The open-source agent harness - the runtime layer that turns an LLM into a working agent.

3.4k
TypeScript
MIT
active2mo ago
AgenticGoKit/AgenticGoKitGitHub

choose it if you want an event-driven agent framework written in Go.

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.

176
Go
Apache-2.0
active2mo ago
SolaceLabs/solace-agent-meshGitHub

choose it if you need event-driven multi-agent systems integrated with message brokers.

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.

5.0k
Python
Apache-2.0
active2mo ago

End-user tools

Does the same job, but ships as an app. Useful to a person, not swappable into a codebase.

iflytek/astron-agentGitHub

a Java/enterprise visual agent workflow platform, not a code-embeddable library.

Enterprise-grade, commercial-friendly agentic workflow platform for building next-generation SuperAgents.

9.0k
Java
Apache-2.0
active30d ago
evolution-foundation/evo-aiGitHub

an older standalone agent management platform, not an embeddable framework.

Evo AI is an open-source platform for creating and managing AI agents, enabling integration with different AI models and services.

607
TypeScript
Apache-2.0
slowing1.4y ago
EverMind-AI/RavenGitHub

a ready-made memory-first agent harness, not a general-purpose orchestration library.

The Harness of Harnesses: a trusted, persistent, self-evolving multi-agent ecosystem for all-domain collaboration.

3.7k
Python
Apache-2.0
active1mo ago
langflow-ai/langflowGitHub

a visual no-code agent/workflow builder, not a library you embed.

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

153.6k
Python
MIT
active2mo ago

Listed as an alternative to

These projects were analysed and named langgraph among their alternatives. The relationship is not symmetric — how langgraph rates them is a separate judgement, made when langgraph is analysed in its own right.

microsoft/agent-frameworkGitHub

calls langgraph “choose if you want fine-grained graph control, persistence, and human-in-the-loop from the LangChain ecosystem.”

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

13.5kPythonactive
MervinPraison/PraisonAIGitHub

calls langgraph “Choose it if you need fine-grained, graph-based control over agent state and resilience in complex workflows.”

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.

8.9kPythonactive
kyegomez/swarmsGitHub

calls langgraph “when you already live in the LangChain ecosystem and want explicit graph-based state-machine orchestration of multiple agents”

The Enterprise-Grade Multi-Agent Orchestration Framework. Website: https://swarms.ai

7.1kPythonactive
n8n-io/n8nGitHub

calls langgraph “code-first graph-based agent orchestration; choose when you need fine-grained state machines in Python.”

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

202.2kTypeScriptactive
langgenius/difyGitHub

calls langgraph “Low-level graph agent framework; choose when you need code-defined stateful agent logic.”

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.

155.7kTypeScriptactive
langflow-ai/langflowGitHub

calls langgraph “Choose for code-first stateful agent graphs with fine-grained control, if you prefer a lightweight library over a visual GUI.”

Langflow is a powerful tool for building and deploying AI-powered agents and workflows.

153.6kPythonactive
langchain-ai/langchainGitHub

calls langgraph “choose when you need graph-based, stateful agent orchestration with fine-grained control.”

The agent engineering platform.

144.8kPythonactive
crewAIInc/crewAIGitHub

calls langgraph “Choose when you need explicit graph-based state control and checkpointing over role-based crews.”

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

58.5kPythonactive
agno-agi/agnoGitHub

calls langgraph “Choose for fine-grained graph-based orchestration and deep LangChain ecosystem integration.”

Build, run, and manage agent platforms.

42.6kPythonactive
ToolJet/ToolJetGitHub

calls langgraph “Graph-based agent orchestration for Python developers needing fine-grained state 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 🚀

40.8kJavaScriptactive
reworkd/AgentGPTGitHub

calls langgraph “Choose when you need durable, programmable agent orchestration in Python rather than an out-of-the-box browser agent app.”

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

36.3kTypeScriptarchived
simstudioai/simGitHub

calls langgraph “Choose for fine-grained graph orchestration of resilient agents in Python.”

Sim is the collaborative workspace to build, deploy, and monitor AI agents and workflows. Used by 100,000+ builders.

29.5kTypeScriptactive
openai/openai-agents-pythonGitHub

calls langgraph “Choose when you want graph-based orchestration with explicit state management instead of handoff-based agent workflows.”

A lightweight, powerful framework for multi-agent workflows

28.9kPythonactive
microsoft/semantic-kernelGitHub

calls langgraph “choose for stateful, graph-based agent orchestration with fine-grained control.”

Integrate cutting-edge LLM technology quickly and easily into your apps

28.5kC#active
mastra-ai/mastraGitHub

calls langgraph “Choose for Python graph-based control flow and resilience, not TypeScript.”

Mastra is the modern TypeScript framework for AI-powered applications and agents.

27.4kTypeScriptactive
deepset-ai/haystackGitHub

calls langgraph “graph-based state machine design is more flexible than pipelines for complex agent state; choose when you need fine-grained control over agent control flow.”

Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.

26.3kPythonactive
activepieces/activepiecesGitHub

calls langgraph “Choose when you need fine-grained graph control and state management for agents in Python.”

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

24.4kTypeScriptactive
google/adk-pythonGitHub

calls langgraph “lower-level graph orchestration library; choose if you want to hand-code state machines.”

An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.

21.5kPythonactive
coze-dev/coze-studioGitHub

calls langgraph “low-level graph runtime for stateful agents; use it when you need fine-grained code-level control over execution.”

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.

21.5kTypeScriptactive
cloudwego/einoGitHub

calls langgraph “when you need Python-native graph state machines with checkpointing and human-in-the-loop for agents.”

The ultimate LLM/AI application development framework in Go.

12.9kGoactive