.NET library for on-demand local AI model inference — zero bundled models, lazy loading, hardware-aware GPU/CPU selection, 10 task types including embeddings, generation, vision, and audio.
Code similarity search by compression - find near-duplicate files, clone families, and where a pasted snippet came from. No embeddings, no model, no vector database.
Free local web search/extraction router for AI agents. Go CLI + MCP, BYOK/free-first routing, keyless DDGS/Scrapling fallback, setup writers and client guides.
Graph memory for AI agents: facts in, entities and cause->effect relations extracted with small open models, multi-hop recall with a cited chain. Library, HTTP/MCP service, LangChain, hosted at memory.primaxiom.ai
Find out what your coding agents already know. Docmancer indexes the memory, rules, and instructions Claude Code, Codex, Cursor, and Gemini wrote on your machine, then carries the durable parts to every agent. It is local-first and under MIT license.
EverAlgo is the algorithm library behind EverMind's memory system — stateless, storage-free, focused on extraction and ranking only. Orchestration, persistence, and routing live upstream in evermem.
BM25 full-text search that actually finds what you type — fuzzy substrings across token boundaries, accent-insensitive, with byte-offset highlights. Python + Rust, built for hybrid search with vector DBs.
Evidence-first, multilingual, S3-native RAG — answers only from cited evidence (exact quote, page, bbox) and abstains when the evidence is weak, missing or conflicting. The guarantee is "no ungrounded claim". Byte-identical core across Python, Go and JavaScript. Docs: https://muthuishere.github.io/citenexus/
Code retrieval for AI agents: one call returns the exact code, verbatim with true line numbers, instead of 20 greps. The whole index is one SQLite file — no vector DB, no daemon. MCP server for Claude Code, Cursor and Codex.
Convert a document collection to verified Markdown, package it into a single encrypted archive with its search index and provenance, and serve it to agents over the Model Context Protocol. Python 3.11+, Apache-2.0.