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LangGraph vs Mishmar
Short answer: Pick LangGraph if you want customizable stateful agent orchestration; pick Mishmar if you want order limits and multi-sig approvals for bots. LangGraph is free and open source; Mishmar is free.
LangGraphFramework for building stateful, controllable AI agentsWhich to pick
Pick LangGraph if you want…
- Customizable stateful agent orchestration
Pick Mishmar if you want…
- Order limits and multi-sig approvals for bots
Side by side
- What it is
- LangGraph:LangGraph is an open-source framework for building stateful, controllable AI agents with memory, streaming, and human-in-the-loop support.
- Mishmar:Mishmar adds a risk-management layer that checks and co-signs every trading bot or AI agent order against configurable limits before it reaches an exchange.
- Best for
- LangGraph:Customizable stateful agent orchestration
- Mishmar:Order limits and multi-sig approvals for bots
- Who it’s for
- LangGraph:Developers building complex, production-grade AI agents
- Mishmar:Developers building trading bots or AI agents that need order-level risk controls.
- Pricing
- LangGraph:Open source
- Mishmar:Free
- Starting price
- LangGraph:Free
- Mishmar:Free
- Free plan or trial
- LangGraph:Free to use
- Mishmar:Free to use
- Open source
- LangGraph:Yes, 42,570 GitHub stars
- Mishmar:Yes, 0 GitHub stars
- Works with
- LangGraph:—
- Mishmar:Hyperliquid, Binance, Python SDK, TypeScript SDK, Mishmar CLI, MCP server
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.
Mishmar features
- Multi-sig order signing. Each order requires half the exchange key from the bot and half from Mishmar, preventing solo key misuse.
- Configurable risk limits. Set rules for order size, leverage, exposure, drawdown, and daily loss per agent or portfolio.
- Approval workflow for large orders. Orders exceeding limits are parked for manual approval via the console.
- Chained audit log. Every decision is signed into an immutable log that can be verified offline.
- Python and TypeScript SDKs. Install via pip or npm to integrate Mishmar checks into existing bot code.
- CLI and MCP server. Command-line tool and MCP server let any MCP client trade through Mishmar without exposing keys.
LangGraph vs Mishmar FAQ
What is the difference between LangGraph and Mishmar?+
LangGraph provides stateful agent workflows but does not enforce order-level risk limits or multi-sig signing.
Should I use LangGraph or Mishmar?+
Pick LangGraph if you want customizable stateful agent orchestration. Pick Mishmar if you want order limits and multi-sig approvals for bots.
Is LangGraph or Mishmar free?+
Yes, both are free, and LangGraph is open source.
Is LangGraph or Mishmar open source?+
Yes, both are open source: LangGraph (langchain-ai/langgraph on GitHub, MIT license) and Mishmar (mishmar-io/mishmar on GitHub, Apache-2.0 license).
On DevHunt
Based on each tool's website and DevHunt data. Details may change; check the official sites.