Embedding-based discovery of duplicated logic for projects too large or messy to maintain reliably
Shared Single-file memory layer for all your agents, sub mili-second RAG over text, photo and video on Apple Silicon.. No Server. No API. One File. Pure Swift
Samples showing how to build Java applications powered by Generative AI and LLMs using Spring AI and Spring Boot.
Embedded relational database and native Rust data API.
Open-source infrastructure that turns scattered SKILL.md files into curated, retrieval-ready agent-skill corporaโwith retrieval and evaluation tooling included.
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to connect external tools and data sources.
Engine-agnostic LLM gateway in Rust. Full OpenAI & Anthropic API compatibility across vLLM, TRT-LLM, TokenSpeed, SGLang, OpenAI, Gemini & more. Industry-first gRPC pipeline, KV cache-aware routing, chat history, tokenization caching, Responses API, embeddings, WASM plugins, MCP, and multi-tenant auth.
On-device AI for Flutter โ Gemma and other LLMs, multimodal, function calling, embeddings, RAG and speech on Android, iOS, Web, macOS, Windows and Linux.
A flexible, adaptive classification system for dynamic text classification
A prior-art search for your code ideas โ has this dev tool already been shipped?
An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
Deprecated historical repo. Superlinked now develops SIE, a self-hosted inference engine for embeddings, reranking, OCR, extraction, and document processing.
RESTai is an AIaaS (AI as a Service) open-source platform. Supports many public and local LLM suported by Ollama/vLLM/etc. Precise embeddings usage, tuning, analytics etc. Built-in image/audio generation with dynamic loading generators. Live chat deployment. Built-in block based graphical language. Prompt versioning and much more...
Structural code intelligence for AI agents โ semantic search, knowledge graphs, and a built-in MCP server in one Rust binary. Give Claude, Cursor, and any MCP client a deep understanding of your codebase.
Turn your images and videos into a personal knowledge base
Established strong JEV based natural language to SQL performance and well-covered semantic operators for PostgreSQL(PG) with optimized cost and latency. Reusable evidence, with native execution, parallel plans and explainable embeddings in development preview.
Turn scattered notes, docs and transcripts into a queryable Markdown wiki โ an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.
Pretrained text classifiers you can run and retrain on CPU
Shared memory for AI coding tools: hybrid search, cited Q&A, harness memory discovery and a built-in Web console. Local index, MCP + HTTP.
Knowledge base & RAG plugin for DeepSeek Harness (DSH): chunking, local embeddings, hybrid search, management panel
A local acoustic control system that learns user-defined labels for the surface or location of knocks, such as desk or wall. It also counts threshold-qualified knocks within each captured window. By default, a frozen Microsoft BEATs Iter3+ AS2M encoder creates 768-D audio embeddings and an incremental classifier learns the user's labels.
Local document Q&A in your terminal โ powered by on-device LLMs.
Meet JevEmbed โ turn embeddings into decisions. Choose, score, and judge with your choice of embedding model.
Local-first RAG MCP server in Python: hybrid search (semantic + BM25 keyword boost) over your own documents. 11 MCP tools + CLI, markitdown ingestion for 12 formats, multilingual embeddings, LanceDB. Nothing leaves your machine.
FischROBLOX Pro Roblox Testing Automation Tools 2026
A zero-to-100 learning path for applied AI engineering โ RAG, embeddings, vector search, agents, MCP, and the production engineering around them. 56 pages, built as a searchable site.
Official code for the paper "A New Role for Relevance: Guiding Corpus Interaction in Agentic Search"
ModernBERT Multi-Task Fine-Tuning Hub 2026: Streamlined AI Workflows
Zero downtime embedding upgrades
Modern Multi-Task NLP Fine-Tuning Framework with ModernBERT 2026
A practical guide to AI: from running your first local model to building your own agents. 52 files covering LLMs, Ollama, RAG, prompt engineering, machine learning, AI agents, and local AI tools.
EmbeddingGemma2 resources: local search apps, decision models, inference frameworks, tutorials, and datasets. English / ็ฎไฝไธญๆ.
Small, independent TypeScript packages for LLM plumbing โ token budgets, streaming JSON repair, cost accounting, retries, embedding caches. No provider SDKs.
Self-hosted smart music player with CLAP embeddings, personalized radio, Daily Mix, sharing, Web UI and API
โก In-Memory Vector Search Engine & HNSW ANN Graph in Java 21 Loom. Sub-millisecond KNN retrieval, 8-bit scalar quantization (SQ8), 16,000+ QPS.
Self-hosted, distributed, multi-model LLM inference
Open-source AI chatbot & site search for your docs. One <script> tag, streaming answers with sources. 100% Cloudflare-native (Workers AI + Vectorize + D1), runs free on the free tier.
Standalone multi-reference image conditioning for LTX-2.5 in ComfyUI, with MSR LoRA slot embeddings and negative temporal offsets.
Code, datasets, and results for "The Embedder's Dilemma: LLMs Are Better, but at What Cost?" (COLM 2026). MTEB(LLM) benchmarks 10 LLMs and 26 embedding models on 37 tasks with full cost and throughput accounting.
Zero-Mem: Zero-Token Memory Operations for the pi coding agent (faithful reimplementation of arXiv:2607.29377)
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents โ no embeddings, no vector database, no LLM calls. Companion code for the Towards Data Science article on intent continuity.
Retrieve by relevance, not resemblance: filter an AI assistant's memories with TypeSafe's Jev
Open-source vector database and sub-microsecond key-value store in one Go engine โ embed it as a library, run it standalone, or replicate it across a Raft cluster. HNSW/IVF/Vamana indexes, quantization, hybrid dense+sparse and BM25 search, WASM stored procedures. Apache-2.0.
DeepSeek Harness (DSH) local-first cross-session project memory: zero bundled runtime deps, bounded cache-friendly Hot Memory, BM25 recall/cache, provenance, lifecycle and bilingual Web GUI; no embeddings or external service. / DSH ๆฌๅฐ้กน็ฎ่ฎฐๅฟๆไปถใ
A lightweight, Git-native knowledge base skill for AI Agents โ no vector DB, no chunking, no embeddings. Just TOC + line numbers + full source.
A modular local AI agent built with Python and Ollama, featuring tool calling, memory, web search, document processing, embeddings, and RAG.
Structured Output Matching & Association: online multi-person tracking built on the structured output of a multi-task wholebody detector, one whole-frame pass per frame (plus per-crop ReID embeddings in SOMA-R) โ no tiling, no offline post-processing.
SIA โ the Omarchy Brain: a persistent, associative, self-consolidating memory for your Linux desktop. Local embeddings, typed knowledge graph, deterministic cognitive core, outcome learning with an audited judge, mission-control cockpit, MCP for every agent.
Local, full Windows search replacement, clipboard manager, and launcher: files, apps, settings and semantic media search with Google's EmbeddingGemma 2.
โ