Head to head

deer-flow vs MemOS

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.

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.

Visit ↗

MemOS

Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings

Visit ↗

Every recorded fact

Show differences only
Factdeer-flowMemOS
Official SDK installs, 30 daysNot recordedNot recorded
SDK evidence capturedNot recordedNot recorded
GitHub stars78.7K10.5K
Forks10.7K966
Open issues93890
Last commityesterday2 days ago
Primary languagePythonTypeScript
LicenseMIT LicenseApache License 2.0
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 deer-flow alternatives.