deerflow-book

本书围绕 DeerFlow 2.0,从理论到源码,系统讲解如何进行二次开发。(精校)

Not yet testedsource: GitHubhomepageJavaScriptMITcommit 604d1416e5a8

JavaScript, MIT licensed. The project labels itself: agent framework, ai agent, book, bytecode, chinese, deep research, deerflow and langgraph.

deerflow-book has not been verified yet.

Measured by Argusic on a fresh machine every time. Every number links to its evidence.

At a glance

verdict
Not yet tested
Argusic Score
not scored yet
recorded runs
0
last tested
-
stars
544
forks
88
open issues
6
watchers
2
size
0 MB
created
last push

Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.

Also tested, in the same area

Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.

Run history

No recorded runs.

Topics (from GitHub)

agent-frameworkai-agentbookbytecodechinesedeep-researchdeerflowlanggraphopen-sourcesuper-agent

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Markdown for the project README. It links back here; terms on the terms page.

[![Tested by Argusic](https://argusic.com/badge/deerflow-book.svg)](https://argusic.com/subject/deerflow-book)

Questions

Does deerflow-book run?
deerflow-book has not been fully verified yet. No recorded run has produced a verdict yet.
How did Argusic test deerflow-book?
On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
Where is the evidence for deerflow-book?
All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.

Discussion