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Herdr vs LangGraph

Framework for building stateful agents, not a ready-to-use desktop UI.

Short answer: Pick Herdr if you want local, persistent coding agents; pick LangGraph if you want customizable stateful agent orchestration. Herdr has a free plan; LangGraph is free and open source.

Which to pick

Pick Herdr if you want…

  • Local, persistent coding agents

Pick LangGraph if you want…

  • Customizable stateful agent orchestration
  • Agent framework
  • A free, open-source tool

Side by side

What it is
Herdr:Herdr is a native desktop app that runs coding agents on your machines and keeps them alive when the UI is closed.
LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
Best for
Herdr:Local, persistent coding agents
LangGraph:Customizable stateful agent orchestration
Who it’s for
Herdr:Developers who want to run and manage AI coding agents locally across multiple machines.
LangGraph:Developers building complex, production-grade AI agents
Pricing
Herdr:Freemium
LangGraph:Open source
Starting price
Herdr:—
LangGraph:Free
Free plan or trial
Herdr:—
LangGraph:Free to use
Open source
Herdr:—
LangGraph:Yes, 42,570 GitHub stars
Works with
Herdr:SSH, Tailscale, OSC 7501, macOS, Linux, Windows, Android
LangGraph:—

Herdr features

  • Persistent agents. Agents run in herdr-core on your machine and continue after the app is closed.
  • Multi-machine sidebar. Add any SSH-reachable server, VM or cloud sandbox and see all agents in one UI.
  • Phone companion. Monitor and interact with agents from iOS or Android without a middle server.
  • Agent-driven UI changes. Agents can modify layout, tabs, keys and themes via plain config files.
  • Helper agents. An agent can start other agents, steer their tasks and receive their reports.
  • OSC 7501 status protocol. Agents that emit OSC 7501 show real-time working/done/blocked status.
  • Open source. Herdr app, herdr-core and Herdr TUI are Apache 2.0 licensed.
  • Cross-platform. Runs on macOS (Apple silicon), Linux (x86_64/arm64) and Windows (x86_64).

LangGraph features

  • Human-in-the-loop controls. Add moderation and approval steps to keep agents on track.
  • Expressive workflow primitives. Create single, multi-agent, or hierarchical flows with low-level building blocks.
  • Persistent memory stores. Maintain conversation history and context across sessions.
  • Token-by-token streaming. Stream agent reasoning and actions in real time for better UX.
  • Model-agnostic runtime. Run agents with any LLM provider using high-level or fine-grained APIs.
  • Open-source MIT license. Free to use and modify without licensing fees.

Herdr vs LangGraph FAQ

What is the difference between Herdr and LangGraph?+

LangGraph: Framework for building stateful agents, not a ready-to-use desktop UI.

Should I use Herdr or LangGraph?+

Pick Herdr if you want local, persistent coding agents. Pick LangGraph if you want customizable stateful agent orchestration, agent framework or a free, open-source tool.

Is Herdr or LangGraph free?+

Herdr has a free plan and paid plans. LangGraph is free and open source.

Is Herdr or LangGraph open source?+

LangGraph is open source (langchain-ai/langgraph on GitHub, MIT license). DevHunt has no public source repository on record for Herdr.

On DevHunt

Based on each tool's website and DevHunt data. Details may change; check the official sites.