AI-powered text compression library for RAG systems and API calls. Reduce token usage by up to 50-60% while preserving semantic meaning with advanced compression strategies.
CodeSnapAI compresses massive codebases into ultra-compact semantic snapshots that preserve over 95% of debugging-critical information, resolving the “context explosion vs. information loss” paradox and enabling AI-assisted development at unprecedented scale.
A fully open-source, recursively verifiable framework for uplifting all intelligences — human and otherwise — via modular, autonomous infrastructure nodes (SEUIBIU) and a distributed, benevolent recursive superintelligence substrate (SEPTRIS).
A Controlled Natural Language (CNL) for AI designed to "minify" language and make AI context denser.
Make any AI know you. A cognitive overlay for AI. pip install linafish
Risk-aware communication firewall for multi-agent systems: target-relevant compression, observation refinement, uncertainty cascade detection, and verifier placement.
Real-time semantic audio codec achieving 300bps bandwidth via gen AI reconstruction.
Semantic Compression Protocol - the missing semantic layer for AI networks
🌐 Explore SRC Research Lab, a secure platform for benchmarking and developing the Semantic Recursive Compression Engine with reproducible results and cost-aware metrics.
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