10xGraph vs LangGraph: Production Python Alternative

This page is written by the 10xGraph team. We maintain 10xGraph, so read it with that in mind. Every claim about LangGraph links to LangChain’s own documentation or to package metadata, checked on 2026-10-06.

LangGraph is an MIT-licensed graph orchestration library for stateful agents (repository). 10xGraph covers the same ground and adds the server layer: endpoints, auth, thread ownership, rate limits and deploy files generated from your compiled graph.

Production layer compared

The rows below start with what differs most between the two. The shared basics (graph model, checkpointing, streaming, MCP) are at the bottom.

What the 10xGraph production layer looks like

A support agent with two tools, one of which moves money:

from tenxgraph.prebuilt.agent import ReactAgent
from tenxgraph.storage.checkpointer import PgCheckpointer


def lookup_order(order_id: str) -> dict:
    """Return status and total for an order."""
    return {"order_id": order_id, "status": "delivered", "total": 59.0}


def refund_order(order_id: str, amount: float) -> str:
    """Refund part or all of an order."""
    return f"Refunded {amount} on {order_id}"


agent = ReactAgent(
    model="google/gemini-2.5-flash",
    provider="google",
    system_prompt=[{"role": "system", "content": "You are a support agent. Confirm the order before refunding."}],
    tools=[lookup_order, refund_order],
)

checkpointer = PgCheckpointer(
    postgres_dsn="postgresql://user:password@localhost:5432/agents",
    redis_url="redis://localhost:6379/0",
)
checkpointer.setup()

app = agent.compile(checkpointer=checkpointer)

Then scaffold, serve and package it:

pip install 10xgraph 10xgraph-api google-genai
10xgraph init --yes --template production --auth jwt --rate-limit redis
10xgraph api --host 0.0.0.0 --port 8000
10xgraph build --docker-compose --k8s

The production template writes an 10xgraph.json with "auth": "jwt", "authorization": "ownership" and a Redis rate limit. If the process is killed after refund_order returns but before the run is saved, the resumed run reads the tool ledger and does not refund twice. See replay-safe tools.

For the equivalent LangGraph quickstart, see LangGraph’s docs.

Calling from TypeScript

import { AgentFlowClient, Message, bearerAuth } from "10xgraph-client";

const client = new AgentFlowClient({
  baseUrl: "http://127.0.0.1:8000",
  auth: bearerAuth(token),
});

const result = await client.invoke(
  [Message.text_message("Refund order A-1042 for 59.00")],
  { config: { thread_id: "ticket-8841" } },
);
console.log(result.messages.at(-1)?.text());

LangChain publishes its own client for the LangGraph API, @langchain/langgraph-sdk. The two clients target different servers.

Migrating from LangGraph to 10xGraph

1. Replace from langgraph.graph import StateGraph with from tenxgraph.core.graph import StateGraph.
2. Replace LangChain message classes with from tenxgraph.core.state import Message and Message.text_message(...).
3. Use ReactAgent or tenxgraph.core.graph.Agent with a ToolNode where you used a prebuilt agent. Pass model, system_prompt and tools.
4. Replace InMemorySaver / PostgresSaver with InMemoryCheckpointer / PgCheckpointer. Thread IDs move from config["configurable"]["thread_id"] to config["thread_id"].
5. Replace langgraph.json with 10xgraph.json pointing at your compiled graph, and run 10xgraph api.
6. Point your frontend at 10xgraph-client.

For multi-agent handoffs, see the handoff how-to.

Where LangGraph is the better choice

• You use the LangChain ecosystem. Runnables, retrievers and LangSmith tracing fit together with LangGraph, and 10xGraph does not integrate with them.
• You want visual debugging. LangSmith Studio is free with a LangSmith account (docs). 10xGraph has a playground, not an equivalent visual tool.
• You need a larger community and integration list. LangGraph has more users, examples and third-party integrations.
• You need Python 3.10 or 3.11. 10xGraph requires 3.12 or newer.
• You want a managed platform. LangSmith Deployment offers cloud and hybrid hosting that 10xGraph does not.

Weak spots of 10xGraph

• Smaller community and fewer integrations than LangGraph.
• Pre-1.0: pin versions and read changelogs before upgrading.
• Renamed from Agentflow, so the 10xGraph name has little search history yet.
• No Studio-equivalent visual tool.
• Code-first only, and Python 3.12 or newer.

Sources

Verified on 2026-10-06.

• LangGraph repository and PyPI metadata
• LangSmith deployment options
• Standalone self-hosting
• Authentication and authorization
• Fault tolerance (TimeoutPolicy, RetryPolicy)
• Functional API (durable execution, idempotency)
• Persistence
• LangGraph CLI
• LangSmith Studio
• LangSmith pricing
• @langchain/langgraph-sdk on npm

Next steps