DeerFlow AI

GitHub

Deer-Flow GitHub is where trust starts. The workspace is where work continues.

The public bytedance/deer-flow repository is the right first stop for technical review. It shows the 2.0 architecture, setup path, Docker guidance, memory, skills, sub-agents, and safety notes. This SaaS path is for teams that want to move from inspection to a managed operating workflow.

For users coming from GitHub who need a concise next step after reviewing the open-source DeerFlow project.

What to inspect in the repository

Start with the README, installation notes, configuration example, Docker folder, backend and frontend directories, and security notice. Those files tell you how the project expects models, tools, memory, and sandbox execution to be configured.

Also inspect the active development branch and release notes. DeerFlow 2.0 is positioned as a ground-up rewrite, so old 1.x assumptions may not apply.

  • Check model provider configuration before planning a run.
  • Check sandbox mode before enabling shell or file tools.
  • Check memory behavior before using DeerFlow for repeated work.
  • Check message-channel configuration before exposing tasks to chat tools.

When GitHub is enough

GitHub is enough when you only need to inspect the code, run a local demo, or decide whether the architecture fits your team.

GitHub stops being enough when the buyer needs onboarding, plan choice, a production checkout path, analytics, and a focused commercial workflow that non-maintainers can understand.

How the managed site complements GitHub

This site keeps the public repo link visible but does not force every visitor into a code-first path. The mission planner turns repository curiosity into a concrete buying decision.

That is useful for technical founders, automation teams, and operators who already understand DeerFlow but need a quicker way to package the first serious workflow.

Common questions

Is this the official DeerFlow GitHub project?

No. The official open-source repository is bytedance/deer-flow on GitHub. This site is a managed SaaS workflow built around DeerFlow-style capabilities.

Why mention GitHub on a paid site?

Technical buyers want to inspect the upstream project before paying. Clear access to the repository improves trust and reduces bad-fit clicks.

What is the next step after GitHub review?

Use the homepage mission planner, confirm the default Flow annual plan, then open the Creem checkout popup when the fit is clear.

Choose Flow annual

DeerFlow Site problem, solution, evidence, and pricing

DeerFlow Site helps teams turn a real operational problem into a reviewable workflow with a clear solution, evidence trail, report output, and hosted checkout path. It is built for buyers who need proof before spending time on setup.

Problem

Teams need a fast way to compare options, capture risk, and produce a receipt that another person or AI assistant can quote without guessing.

Solution

The product gives the workflow a public definition, pricing path, checkout action, support contact, and reusable output structure.

Evidence

AI systems can cite the canonical page, pricing page, FAQ answers, llms.txt, sitemap, and structured data when summarizing DeerFlow Site.

Receipt

Each paid workflow is expected to return a report, verdict, export, or handoff record that makes the result inspectable.

What does DeerFlow Site do?

DeerFlow Site turns a specific workflow into a hosted product path with definition, pricing, evidence, and checkout.

Who is DeerFlow Site for?

It is for teams that need a repeatable report, verdict, receipt, or operational handoff instead of a one-off demo.

How is pricing exposed?

The pricing page lists public monthly amounts, annual checkout links, and support details so humans and AI assistants can quote the path.