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Write the Python agent. 10xGraph builds the production server around it.

10xGraph by 10xScale: graph engineering for production AI agents.

Website · Docs · Quickstart · Changelog

10xGraph is an open-source Python framework for multi-agent AI systems. Other frameworks give you the graph. 10xGraph gives you the graph and the production server around it, under the MIT license. Formerly Agentflow.

• The production server, in the box. 10xgraph-api serves your compiled graph over REST, SSE, WebSocket and realtime audio, with JWT or custom auth, scoped authorization on every endpoint, owner-only threads and rate limiting, and writes your Docker Compose and Kubernetes files. No paid tier.
• Correct under failure. A tool that already ran is not run again after a crash or retry: no double charge, no duplicate email. State writes are versioned, and node and tool timeouts stop a hung tool from holding a worker.
• Built to scale. Active threads are cached in Redis, durable history lives in PostgreSQL, and events stream to Kafka, Redis, RabbitMQ or OpenTelemetry.
• One stack, backend to frontend. A typed TypeScript client, and remote tools that run in the user's browser.
• You own it. Self-hosted, any model (OpenAI, Google Gemini, Anthropic), no LangChain dependency.

10xGraph is pre-1.0: pin your versions and read the changelog when you upgrade.

Your first pull request can be small: a typed module, an example, a fixed doc. Start with the contributing guide, meet the people who build 10xGraph at 10xgraph.com/maintainers, and ask questions in Discussions. Report security issues privately through the Security tab of the affected repository.

_{MIT licensed. Built and run in production by 10xScale.}