An open-source intelligence (OSINT) analysis tool leveraging GPT-powered embeddings and vector search engines for efficient data processing
Inclusive model of expression dynamics with conventional or metabolic labeling based scRNA-seq / multiomics, vector field reconstruction and differential geometry analyses
A RAG app to ask questions about rows in a database table. Deployable on Azure Container Apps with PostgreSQL Flexible Server.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Production-grade RAG chatbot for Universitas Atma Jaya Yogyakarta academic handbook with Streamlit, FAISS vector search, and Google Gemini 2.5 Flash.
AegisOps企业信息系统智能运维平台:自动巡检、Agent 故障排查、证据工单与审批处置。LangGraph · Deep Agents · MCP;附可复现实测记录。
🐵 A Streamlit image-to-vector tool powered by the Vecto engine — upload PNG/JPG and get clean, editable SVG with live side-by-side preview. 基于 Vecto 引擎的图片转 SVG 工具:上传位图自动矢量化,分割视图对比,导出 SVG/PNG。
Local AI search for podcast and video archives on Apple Silicon: Whisper speech, Apple Vision OCR and SigLIP-2 visual search fused into one ranked list, with a trim editor and FCPXML export. FastAPI, vanilla JS, Tauri. Source-visible, all rights reserved.
Not another ChatGPT wrapper. This is a local-first tool that turns your notes, web pages, PDFs and audio/video into a personal knowledge graph — running entirely on your own machine.
An open-source, vector-free long-term memory engine for AI agents, achieving SOTA on LoCoMo and LongMemEval with significantly less context.
Deterministic code-graph context engine for AI coding agents - PostgreSQL + Apache AGE + pgvector, MCP & REST, no LLM in the loop.
Local-first recruitment intelligence and application operations agent
OpenContextEngine is a self-hosted, ACE-compatible code retrieval service. It indexes source files with cAST-aware chunking, stores metadata in PostgreSQL or SQLite, performs dense vector retrieval in Milvus 3.0, and reranks results with an LLM before coverage-aware selection.
Drop-in AI memory layer with 2x faster retrieval and 10x lower cost. Fully compatible with Mem0 API. Migrate in 5 minutes without any code changes. Self-host for free.
Billion-scale embedded vector database built entirely on Parquet and Arrow.
Local-first persistent memory for OpenAI Codex: governed recall, progressive disclosure, no hosted vector database.
TriFlow: Generating Artist-Like 3D Mesh Topology via Nearest-Vertex Vector Fields (ECCV 2026)
Local-first Hermes memory provider on zvec-grep (hybrid BM25+vector RRF over Markdown vault)
Abliteration without the weights — projective refusal steering as a GLP vector + fail-closed boot hotfix.
墨枢是一个面向中文长篇网文作者的 AI 小说写作工作台,支持作品大纲、章纲、人物与世界观设定库、时间线、RAG 检索、一致性守卫、自然化审查、AI 辅助续写、团队协作、用量计费,以及面向漫剧改编的静态分镜管理。前端采用 Vue 3,后端采用 FastAPI,支持 PostgreSQL/pgvector、Redis、Docker 自部署和 Cloudflare Workers 预览。
Chat with the videos you've saved: evidence-backed answers with timestamps that jump back to the source. Browser extension + MCP, self-hostable. 和你收藏的视频对话,答案带时间戳,一键回到原视频。
Official Paper Implementation of ScaleResfusion: Residual Rectified Flow Based on Residual Vector Field
Zero downtime embedding upgrades
subconscious-skill: Biomimetic memory skill for LLM companions. Different from vector RAG memory, it uses Freud & Jung subconscious cognitive architecture with layered memory, auto consolidation, forgetting and dream simulation, local Python runtime without extra LLM tokens.
On Policy Vector Training
Can coding agents build the agent you actually want? A benchmark of 25 agent software engineering tasks across creation, editing and optimization.
Residual emotion steering for emotional TTS generation. EmoRES-TTS decomposes a mixed-emotion steering vector into a shared axis and an emotion-carrying residual and weight the two independently.
Editable scientific vector figures in Adobe Illustrator through Python, Windows COM and ExtendScript. Skill and MCP integration planned.
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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.
Official code for InfoVis: one 9B model for slide image generation and editing, with the VisSlideBench benchmark and 15M+ training records.
dynavec — serverless hybrid vector database on DynamoDB + Amazon S3 Vectors.
A lightweight, Git-native knowledge base skill for AI Agents — no vector DB, no chunking, no embeddings. Just TOC + line numbers + full source.
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Makra is a memory layer between the web and your AI agents. It serves real-time structured data from the open web at the cost of a vector search.
面向企业合同全生命周期的生产级 AI Agent 平台,支持合同解析、条款结构化、风险审查、HITL 人工确认、版本管理、客户回传 Diff、谈判辅助及 PDF/Email 交付;基于 LangGraph + RAG + ContractPolicy + Agent Workflow,实现可追溯、可恢复、可审查的合同智能处理闭环