Embeddings

The explainable, local-first memory engine for AI agents. One ~9 MB binary fuses vector + graph + columnar under VelesQL; why() returns the evidence path behind every recall. No cloud, no glue code — runs on server, browser, mobile and desktop.

Single-file vector database in Rust: embedded (Rust/Python/Node/C ABI) or self-hosted with REST, gRPC and a web dashboard. Exact + HNSW search, typed metadata filters, durable atomic commits.

Search Git commits in natural language

High-performance Holographic Memory System (HMS) for Node.js, powered by Rust. This library implements Vector Symbolic Architectures (VSA) using Binary Spatter Code (BSC) to enable semantic search, analogical reasoning, and associative memory at scale.

Open Lakehouse Format for Multimodal AI. Convert from Parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, and PyTorch with more integrations coming..

Local, offline semantic code search with an MCP server for coding agents

khive is a system of records and operations for agent-native organizations

Xavier — Rust vector memory & knowledge graph for AI agents (HTTP/CLI/MCP). Powers SWAL communal context

Run AI models on Apple Silicon and Raspberry Pi

Two-tier hybrid search for Rust: sub-millisecond initial results via potion-128M, quality-refined rankings in 150ms via MiniLM-L6-v2. Combines lexical (Tantivy BM25) and semantic (vector cosine) search with Reciprocal Rank Fusion. Progressive iterator API, f16 SIMD vector index, feature-gated compilation.

Vector database compatible with the Chroma API, bringing Chroma Cloud's features to open source.

Pure-Rust LLM, diffusion and embedding inference: Gemma 4/3, Qwen 3.x, MLX 4-bit, Stable Diffusion with LoRA, sentence-transformers embedders. CPU-first with Metal, CUDA and WebGPU (wasm) backends.

One Mac process. Many models. Real speed. Multi-model LLM serving with prefix reuse, MTP acceleration, and OpenAI APIs — built for Apple Silicon, measured against mlx-lm and llama.cpp.

The most advanced AI memory server in the world. Hybrid search, Temporal Knowledge Graph, transformer embeddings, AAAK compression (3x token savings) — pure Rust, single binary, zero dependencies.

Pure Rust PDF library for AI/RAG: structure-aware chunking, no ML, no C deps.

On-prem, MCP-native memory for AI agents in regulated settings: every write lands in a SHA-256 hash-chained log an auditor can check offline, without running the vendor's code. Rust, embedded, Apache-2.0.

Local infrastructure for LLM agents — hybrid retrieval, cognitive memory, persistent channels

Memoria cognitiva local en Rust: un grafo de conocimiento que aprende, verifica lo que aprende, olvida lo que no usa y responde citando sus fuentes. Ollama + SearXNG + SQLite.

Self-hosted AI knowledge base with hybrid semantic search (pgvector + FTS + RRF), MCP server, multi-provider LLM inference (Ollama, OpenAI, OpenRouter, llama.cpp), multimodal ingestion (vision, audio transcription, speaker diarization), and knowledge graph. Rust + PostgreSQL.

Code intelligence engine for AI coding agents. Structural graph queries plus semantic search, exposed via CLI and MCP.