Use OpenSearch vector search edition via the Python SDK (ha3engine) to push documents and run HA/SQL searches. Ideal for RAG and vector retrieval pipelines i...
Automates Sovereign Local Vector Memory and Gemma-300M Embeddings. Manage local vector embeddings, model configuration, and memory health monitoring without...
--- name: pinecone-search description: Pinecone vector search tool for searching local knowledge base tags: - pinecone - database - search - vector - knowledge-base keywords: - 规范 -
--- name: vectorclaw-mcp description: "MCP tools for Anki Vector: speech, motion, camera, sensors, and automation workflows." openclaw: emoji: "🤖" requires: bins: ["python3"] env: ["VEC
Build and deploy local RAG (Retrieval-Augmented Generation) systems with offline document processing, embedding models, and vector storage.
Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...
Connect to Supabase for database operations, vector search, and storage. Use for storing data, running SQL queries, similarity search with pgvector, and mana...
Cloud-persistent memory for AI agents. Stateless plugins + TiDB Serverless = cross-session recall, multi-agent sharing, and hybrid vector + keyword search. W...
Connect to Supabase for SQL queries, CRUD, table management, and vector similarity search using pgvector extension and OpenAI embeddings.
Build vector retrieval with DashVector using the Python SDK. Use when creating collections, upserting docs, and running similarity search with filters in Cla...
Expert SurrealDB 3 architect and developer skill. SurrealQL mastery, multi-model data modeling (document, graph, vector, time-series, geospatial), schema des...
Advanced Qdrant vector database operations for AI agents. Semantic search, contextual document ingestion with chunking, collection management, snapshots, and...
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vib...
Use AliCloud Milvus (serverless) with PyMilvus to create collections, insert vectors, and run filtered similarity search. Optimized for Claude Code/Codex vec...
Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Vibe-coding ready.
Enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting, pseudo-relevance feedback, salience scoring, and knowledge graph cross-references. Re
Provide long-term memory persistence for AI agents with SQLite-backed storage, structured metadata, vector embeddings, semantic retrieval, lifecycle manageme...
Vector memory engine with PostgreSQL + pgvector + OpenAI embeddings. Store, search, and inject contextual memories into LLM prompts. Includes auto-injection...
AI/ML engineering specialist for building intelligent features, RAG systems, LLM integrations, data pipelines, vector search, and AI-powered applications. Us...
Neuroscience-based multi-layer memory system for OpenClaw agents that improves context efficiency using semantic schemas, vector stores, and sleep cycle cons...
Generate complete logo systems with icon + wordmark + lockups. Creates production-ready SVG vector logos from natural language prompts. Use when a user reque...
Ichiro-Mind: The ultimate unified memory system for AI agents. 4-layer architecture (HOT→WARM→COLD→ARCHIVE) with neural graph, vector search, experience lear...
MidOS — The MCP Knowledge OS. 134 tools for knowledge management, multi-agent orchestration, search, planning, and memory. 670K+ vectors, 46K+ chunks, EUREKA...
Optimize your ClawHub skill for maximum discoverability. Analyzes and rewrites SKILL.md description for vector search ranking, suggests keyword coverage, che...