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.
RAG ReAct Agent - A Retrieval-Augmented Generation system with ReAct (Reasoning+Acting) agent loop for intelligent question answering with multi-hop reasoning
Turn scattered notes, docs and transcripts into a queryable Markdown wiki — an LLM knowledge-base compiler with MCP access, no embeddings, self-hosted.
A lightweight CPU only memory approach with ranked retrieval. Simple, yet effective.
Run Qwen3.8-Flash-Next (180B) on a single DGX Spark by keeping its 51B n-gram embedding table on NVMe
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
Local document Q&A in your terminal — powered by on-device LLMs.
Meet JevEmbed — turn embeddings into decisions. Choose, score, and judge with your choice of embedding model.
FischROBLOX Pro Roblox Testing Automation Tools 2026
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.
AD-E2E-JEPA: A Joint-Embedding Predictive Architecture For End-to-End Autonomous Driving
⚡ In-Memory Vector Search Engine & HNSW ANN Graph in Java 21 Loom. Sub-millisecond KNN retrieval, 8-bit scalar quantization (SQ8), 16,000+ QPS.
A zero-to-100 learning path for applied AI engineering — 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"
Ovis-Omni-Embedding
A next-gen long-term memory engine for AI apps: self-organizing spatial regions, memory dynamics (Ebbinghaus reinforcement / decay / consolidation), and explainable 8-signal retrieval. Runs offline with zero config; works with any OpenAI-compatible LLM/embedding, cloud or local. Chinese-friendly. Benchmarked head-to-head vs Mem0 and bare RAG
ModernBERT Multi-Task Fine-Tuning Hub 2026: Streamlined AI Workflows
Zero downtime embedding upgrades
Modern Multi-Task NLP Fine-Tuning Framework with ModernBERT 2026
Sniff out the right record: Jev-powered search for Rails with index-time labels, query understanding, and streamed reranking on top of your own keyword and embedding search
Small, independent TypeScript packages for LLM plumbing — token budgets, streaming JSON repair, cost accounting, retries, embedding caches. No provider SDKs.
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 / 简体中文.
Self-hosted smart music player with CLAP embeddings, personalized radio, Daily Mix, sharing, Web UI and API
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)
Static analyzer for Flutter/Dart AOT snapshots — recovers function names, class hierarchies, call graphs, and behavioral signals from libapp.so without embedding or executing the Dart VM. Supports ARM64 and x86_64, Dart 2.10–3.12.
A pure-Python system that automatically discovers, verifies, and applies relevant historical requirements for coding agents — 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 — 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 本地项目记忆插件。
Meet KaLM-Jev — your local, Jev-style judgment engine, available in Nano, Small, and Large.
Model-facing Office tools for DeepSeek Harness: Word (.docx), Excel (.xlsx), and PowerPoint (.pptx) create/read/update with workspace-safe paths and PPT image embedding.
A lightweight, Git-native knowledge base skill for AI Agents — no vector DB, no chunking, no embeddings. Just TOC + line numbers + full source.
This repository collects our survey paper on embedding physics priors in robot learning
Typographic-quality PDF generation for Elixir. Zero dependencies — no Chrome, no wkhtmltopdf. TeX hyphenation, Knuth-Plass line breaking, TrueType/OpenType embedding with subsetting, forms and AES-256. Distilled from Joe Armstrong's erlguten.
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) — no tiling, no offline post-processing.
A modular local AI agent built with Python and Ollama, featuring tool calling, memory, web search, document processing, embeddings, and RAG.
SIA — 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.
Ovis VL Embedding
[TOG-26] Seamless Video Loop Generation via Anchored Looping Shift of Positional Embedding
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
MemeMeow 是一个基于自然语言的表情包检索工具。基于agent自动标注表情包含义,只需描述想要的场景或心情,快速找到合适的表情包。