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Kombinat vs LangGraph
Short answer: Pick Kombinat if you want background AI agents on your subscription; pick LangGraph if you want customizable stateful agent orchestration. Both are free and open source.
KombinatRun AI agents on a schedule from Markdown files in your repo
LangGraphFramework for building stateful, controllable AI agentsWhich to pick
Pick Kombinat if you want…
- Background AI agents on your subscription
Pick LangGraph if you want…
- Customizable stateful agent orchestration
- Custom stateful agents in code
Side by side
- What it is
- Kombinat:Kombinat runs Claude Code, Codex or any other CLI agent 24/7 on your Mac, on a schedule or a webhook, from markdown files in your repo.
- LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
- Best for
- Kombinat:Background AI agents on your subscription
- LangGraph:Customizable stateful agent orchestration
- Who it’s for
- Kombinat:Teams and solo developers who want AI agents to do routine work in the background, on the Claude or Codex plan they already have.
- LangGraph:Developers building complex, production-grade AI agents
- Pricing
- Kombinat:Open source
- LangGraph:Open source
- Starting price
- Kombinat:Free
- LangGraph:Free
- Free plan or trial
- Kombinat:Free to use
- LangGraph:Free to use
- Open source
- Kombinat:Yes, 11 GitHub stars
- LangGraph:Yes, 42,570 GitHub stars
- Works with
- Kombinat:Claude Code, Codex, GitHub, Linear, Tailscale
- LangGraph:—
Kombinat features
- Markdown routines. Define cron schedules or webhooks in markdown files with front-matter.
- Multiple agents. Run Claude, Codex or any shell command per routine.
- Version-controlled. Routines live in your repo; merge a .md file and it becomes active within minutes.
- No extra API costs. Agents run on your existing Claude/Codex subscription, not on separate API keys.
- Web Dashboard & TUI. View run history, calendar and transcripts in a web UI or terminal UI. Works amazing from your mobile
- Webhook support. Trigger routines via POST requests; request body is added to the prompt.
- Lightweight install. Just two dependencies, runs as a background daemon on macOS with Node.
- Remote access. Run the dashboard on your phone over Tailscale.
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.
Kombinat vs LangGraph FAQ
What is the difference between Kombinat and LangGraph?+
LangGraph means building and hosting agent graphs in code. In Kombinat, a routine is one markdown file: merge it and it runs, with your own tools, on your subscription.
Should I use Kombinat or LangGraph?+
Pick Kombinat if you want background AI agents on your subscription. Pick LangGraph if you want customizable stateful agent orchestration or custom stateful agents in code.
Is Kombinat or LangGraph free?+
Yes, both are free and open source.
Is Kombinat or LangGraph open source?+
Yes, both are open source: Kombinat (Danilqa/kombinat on GitHub, MIT license) and LangGraph (langchain-ai/langgraph on GitHub, MIT license).
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.