Harvester for open data portals
Local photo management with semantic search and face recognition
Persistent knowledge memory layer for AI agents. Rust, Postgres + pgvector, MCP protocol.
TinyQuant is a CPU-only vector quantization codec that compresses high-dimensional embedding vectors to low-bit representations while preserving cosine similarity rankings.
High-performance MCP memory server for AI coding agents. Rust, PostgreSQL, pgvector, hybrid search, hierarchical summarization.
📡 Semantic codebase search + TypeScript structural analysis — embeddings, pgvector, oxc, tree-sitter. Agent-ready CLI skill.
RAG++ Context Gateway: federated retrieval across pgvector, Graph Kernel, and Gemini embeddings with echo suppression
AI Assistant for Healthcare Systems — self-hosted, MCP-native, multilingual (VN/JP/KR/EN). On-premise LLM via Ollama. Rust + Python + Next.js microservices.
High-performance, local-first RAG engine with native geospatial capabilities. Combine semantic search with spatial filtering for location-aware AI applications.
RAG ingestion pipeline: chunk, dedup, embed, store in Postgres/pgvector; optional S3.
Open-source CAD-first knowledge engine. Source repo on GitHub, container images on Docker Hub and GHCR.
Rust local-first AI agent orchestrator: multi-role planning, FSM, tools, Postgres + vectors (pgvector, LanceDB), Ollama/gRPC inference - TOM (Total Orchestration Manager).
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