SPL-FRAMEWORK
SUBSUMPTION PATTERN LEARNING (SPL) MULTI-AGENT FRAMEWORK: Hierarchical foundation model agent architecture that reduces costs by 10-50x through intelligent suppression of expensive foundation model calls. Grounded in R. Arkin's behavior-based robotics and R. Brooks' subsumption architecture, SPL brings 40+ years of proven autonomous systems design
Description supplied by the publisher; it is a claim, not verified evidence.
- Name
- github:daseinpbc/SPL-FRAMEWORK
- Listed in
- GitHub
- Publisher
- @daseinpbc
- Published
- 2026-01-31
- License
- MIT
- Evidence
- Listed only, not analyzed yet
Source: https://github.com/daseinpbc/spl-framework
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