bytedance/deer-flow

An open-source long-horizon SuperAgent harness that researches, codes, and creates. With the help of sandboxes, memories, tools, skill, subagents and message gateway, it handles different levels of tasks that could take minutes to hours.

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What it does

DeerFlow is an open-source AI agent platform from ByteDance that can autonomously research topics, write and run code, and complete complex multi-step tasks — acting like a highly capable digital assistant that manages smaller specialized AI helpers working in parallel. Think of it as an AI orchestration layer that can tackle work ranging from quick lookups to hours-long research and execution projects.

Why it matters

With nearly 30,000 GitHub stars in a short window, DeerFlow signals strong builder demand for AI systems that go beyond simple chatbots and can actually complete end-to-end workflows — a space that could redefine how teams staff and scope knowledge work. For founders and PMs, this represents a production-ready foundation to build autonomous AI-powered products without starting from scratch.

Why it's trending

ByteDance quietly open-sourced an AI agent framework capable of running multi-hour autonomous research and coding workflows, and builders are paying attention fast — DeerFlow pulled in over 1,300 stars this week alone against a base of 71,000, signaling the momentum hasn't cooled since its initial spike. The 188 commits in the last 30 days suggest the team is actively shipping, not just riding a launch wave, which matters for anyone evaluating whether to build on top of it. With the broader market converging on multi-agent orchestration as the next infrastructure layer, a production-backed open-source entry from ByteDance hits at exactly the right moment for founders and engineers looking for a credible foundation to run complex, long-running AI workflows.

43Hot

Gaining traction — heating up

Stars
71.4k
Forks
9.7k
Contributors
124
Language
Python

Score updated Jun 18, 2026

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