Maps the geometry of meaning produced by embedding models — survey a corpus into a semantic landscape, then inspect its regions, neighborhoods, directions, and gaps, and compare models. Backs a Surveyor agent that runs measured experiments against the space and records an evidence-backed Atlas.
Cross-referenced across 55 tracked directories
#3185
Popularity Rank
1 / 55
Listed In
Emerging
Adoption Stage
7/20/2026
Created
2
GitHub Stars
1
Open Issues
7/20/2026
Last Commit
Recently added to the ecosystem
Score: 100/100
0 dependency vulnerabilities found
Yashvardhan Thanvi <[email protected]>
Cut your LLM prompt size by 40-70% in one line of code -- semantic chunking + extractive summarization that preserves meaning, instructions, and key entities.
...moreNORTHTEKDevs
DNA-inspired memory layer for AI agents: zero-LLM-call ingestion, retrieval that beats full-context on overflowing histories.
...moreBrightbeam AI <[email protected]>
CHAP adapter for AG2 (AutoGen): record a human-decision envelope at the human-input turn.
syed-dilawar-engineer
Temporary package placeholder for staged publishing