Head to head

codeg vs deer-flow

6 of 12 recorded facts differ. Everything below is source-reported with a capture date. Niched has not published a buyer verdict for this pair, so nothing here declares a winner. A winner only exists inside a defined buyer niche with stated constraints.

codeg

Collaborative multi-agent AI coding workspace: aggregate sessions from Claude Code, Codex, OpenCode, Pi, Grok Build, etc. Desktop app, self-hosted server, or Docker.

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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. deer-flow is open source, written primarily in Python, released under MIT License. Its repository has 78.2K GitHub stars and 10.7K forks, and was last committed to within the last two weeks.

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Every recorded fact

Show differences only
Factcodegdeer-flow
Official SDK installs, 30 daysNot recordedNot recorded
SDK evidence capturedNot recordedNot recorded
GitHub stars2.5K78.4K
Forks30010.7K
Open issues119943
Last commit2 days agoyesterday
Primary languageTypeScriptPython
LicenseApache License 2.0MIT License
Open sourceYesYes
Pricing modelNot recordedNot recorded
FoundedNot recordedNot recorded
CategoriesAI agents & autonomous workflowsAI agents & autonomous workflows

Where both compete

Both products are placed in AI agents & autonomous workflows. A category organises the market; it carries no score. See all codeg alternatives.