The best deepagents alternatives

langchain

langchain-ai/langchain

The agent engineering platform.

Choose langchain if…

• you want the more widely starred option (149.4k)
• you specifically need agents or ai-agents

Shares ai, deepagents, langchain, langgraph with deepagents.

langgraph

langchain-ai/langgraph

Build resilient agents.

Choose langgraph if…

• you specifically need agents or ai-agents

Shares ai, deepagents, langchain, langgraph with deepagents.

deer-flow

bytedance/deer-flow

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.

Choose deer-flow if…

• you want the more widely starred option (85.3k)
• you specifically need agent or agentic

Shares ai, harness, langchain, langgraph with deepagents.

headroom

headroomlabs-ai/headroom

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.

Choose headroom if…

• Apache License 2.0 suits your use better than MIT License
• you want something your agent can install directly rather than a library to wire up yourself
• you want the more widely starred option (79.5k)
• you specifically need agent or anthropic

Shares ai, langchain, python, typescript with deepagents.

GenAI_Agents

NirDiamant/GenAI_Agents

50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.

Choose GenAI_Agents if…

• you would rather work in Jupyter Notebook than Python
• you specifically need agentic-ai or agents

Shares ai, langchain, langgraph, python with deepagents.

Memori

MemoriLabs/Memori

Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.

Choose Memori if…

• you specifically need agent or agent-memory

Shares ai, python, typescript with deepagents.

Decepticon

PurpleAILAB/Decepticon

Autonomous Hacking Agent for Red Team

Choose Decepticon if…

• Apache License 2.0 suits your use better than MIT License
• you prefer a smaller, narrower project to a large one
• you specifically need agent or cybersecurity

Shares ai, langchain, langgraph with deepagents.

nexent

ModelEngine-Group/nexent

Nexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.

Choose nexent if…

• you prefer a smaller, narrower project to a large one
• you specifically need agent or agentic-ai

Shares ai, harness, harness-engineering with deepagents.

harness-sdk

strands-agents/harness-sdk

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

Choose harness-sdk if…

• Apache License 2.0 suits your use better than MIT License
• you prefer a smaller, narrower project to a large one
• you specifically need agent-framework or agentic

Shares ai, harness, python, typescript with deepagents.

Yuxi

xerrors/Yuxi

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。Yuxi = Cloud Agents + Knowledge RAG, Self-hosted knowledge agent platform for RAG, knowledge graphs and multi-agent workflows.

Choose Yuxi if…

• you prefer a smaller, narrower project to a large one
• you specifically need agentic-rag or ai-agents

Shares deepagents, harness, langgraph with deepagents.

ai-agents-from-zero

didilili/ai-agents-from-zero

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

Choose ai-agents-from-zero if…

• you want something your agent can install directly rather than a library to wire up yourself
• you prefer a smaller, narrower project to a large one
• you specifically need agent or agent-framework

Shares deepagents, langchain, langgraph with deepagents.

E2B

e2b-dev/E2B

Open-source, secure environment with real-world tools for enterprise-grade agents.

Choose E2B if…

• Apache License 2.0 suits your use better than MIT License
• you prefer a smaller, narrower project to a large one
• you specifically need agent or ai-agent

Shares ai, python, typescript with deepagents.