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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.
DNA-inspired semantic compression for AI reasoning at scale. Compress codebases 1000x while preserving meaning. 99.8% token reduction.
AI Identity Through Grounded Principles - Compressed soul documents with full provenance tracking
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.
🧠 Distributed Bio-Mimetic AI Memory System | Crystal Logic (VL-JEPA) | ~75% Complete | Rust + Tauri + Libp2p
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).
AI Context Sitemap (AICS). Generates semantic, token-optimized code indexes (.ai-index.md) to prevent hallucination and drastically reduce context usage.
Semantic Compression Protocol for AI prompt engineering
Enable peer-to-peer collaboration between AI agents with human supervision for complex task coordination and decision-making.
A Controlled Natural Language (CNL) for AI designed to "minify" language and make AI context denser.
🚀 Compress code by meaning for improved clarity and efficiency, transforming how you analyze and interpret programming structure.
Semantic Compression Protocol - the missing semantic layer for AI networks
Semantic Frame Compression (SFC) A lightweight, standardized method for efficiently transferring complex information between LLM sessions.
Real-time semantic audio codec achieving 300bps bandwidth via gen AI reconstruction.
5 angles. 1 attack. O(1) indexed search. Up to 95% fewer tokens per search, 11x on research tasks. Semantic code intelligence for Claude Code. Local-first, zero config.
UTF-8 language model compression achieving ~66% token reduction while preserving semantic meaning. Enables efficient AI on resource-constrained hardware.
Capture clean, customizable code screenshots quickly with an open-source tool that requires no signup, backend, or setup.
🌐 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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