dp-web4/SAGE

PythonAGPL-3.0active

Health

Cognition kernel for edge devices. Reached 94.85% on ARC-AGI-3 by structuring Claude Opus 4.6 (vs 0% baseline) — same model, different harness. 12-step consciousness loop, SNARC salience memory.

Stars21

Forks5

Open Issues1

Contributors5

Last Push0d ago

Health Breakdown

Activity

Community

Maintenance

Popularity

#ai #autonomous #embodied-ai

View on GitHub ↗Issues (1) ↗Pull Requests ↗

Should you contribute to dp-web4/SAGE?

dp-web4/SAGE has a FoundDev health score of 80/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under AGPL-3.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

dp-web4/SAGE

PythonAGPL 3.0

Cognition kernel for edge devices. Reached 94.85% on ARC-AGI-3 by structuring Claude Opus 4.6 (vs 0% baseline) — same model, different harness. 12-step consciousness loop, SNARC salience memory.

active

★ 215 contributors1 issues

0d ago

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