#embeddings

A vector index built on TurboQuant, written in Rust with Python bindings

Type-safe, real-time backend framework on your own Cloudflare account — Workers, Durable Objects, D1, R2, Queues. Convex-style DX, Vite-first.

A typescript library for connecting videos in your Mux account to multi-modal LLMs.

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

Persistent AI memory with hybrid search and embedded sync. Open, free, unlimited.

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

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.

MoFlo — an opinionated, local-first AI agent orchestration toolkit for Claude Code: semantic memory, learned routing, gates, and spells. No API keys, no cloud, works out of the box.

Your coding agent starts every session with amnesia — memo fixes that, 100% on your machine. Persistent memory for Claude Code, Codex, Cursor & any MCP client: Markdown source of truth, hybrid search (MLX/CPU + sqlite-vec), time-machine, contradiction radar, nightly self-optimization. No cloud, no keys.

Local RAG MCP server for Claude Code — hybrid search (semantic + BM25), cross-encoder reranking, 13 MCP tools, 20 format parsers. Zero external servers, zero API keys.

Local-first memory layer for LLM apps and agents. Runs offline on Ollama, sentence-transformers and FAISS; OpenAI and Anthropic optional. Importance scoring, contradiction resolution, confidence-aware retrieval.

Local-first RAG server for developers. Semantic + keyword search for code and technical docs. Works with MCP or CLI. Fully private, zero setup.

mini cli search engine for your docs, knowledge bases, meeting notes, whatever. Tracking current sota approaches while being all local

Advanced memory management and retrieval system for AI applications

Multi-agent autonomous SDLC framework. Spec to deployed app. PRD, GitHub issue, OpenAPI/JSON/YAML, or one-line brief. 5 AI providers, 8 quality gates.

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

WebAssembly binding for llama.cpp - Enabling on-browser LLM inference

Run AI models on Apple Silicon and Raspberry Pi

Parrot is a new library to work with chatbots and agents with a very simple API

The whole local AI stack in one executable: it runs and manages local AI models across every GPU, and it's a search engine you can talk to, with cited answers from your files, code, and the web. MCP server for coding agents, web crawler, TUI, CLI, REST API, Python library. No Ollama or LM Studio needed, works with both.

C# SDK for the Hugging Face API -- inference, embeddings, and model hub

C# SDK based on official OpenAI OpenAPI specification

Document search component to aid RAG

A Vercel AI SDK provider for Ollama built on the official ollama package. Type safe, future proof, with cross provider compatibility and native Ollama features.

Context engineering for AI agents. ~80% fewer tokens. Fix tool overload. Skills and memory with in-process BM25 and semantic retrieval. Progressive Disclosure. No vector DB.

Ollama SDK for .NET

⚠️ DEPRECATED — Use adaptive-memory-multi-model-router instead

Опис репозиторію не опубліковано.

Опис репозиторію не опубліковано.

Universal memory runtime for AI agents