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Reusable instructions for compatible AI agents.
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Ultimate AI agent memory system. WAL protocol + vector search + git-notes + cloud backup. Never lose context again. Works with Claude, Cursor, GPT, OpenClaw agents.
An MCP server that provides on-demand skill loading for AI coding assistants.
Agent-controlled memory plugin for OpenClaw with confidence scoring, decay, and semantic search. The agent decides WHEN to store/retrieve memories — no auto-capture noise.
Integrates LanceDB for managing long-term memory with vector search and semantic capabilities, enhancing AI's memory management.
LanceDB — serverless vector database for AI. Columnar storage on Lance format, zero-copy access, multimodal search (text + images + audio), and direct DataFrame integration. No separate server.
#!/usr/bin/env python3 """ LanceDB integration for long-term
LanceDB is an embedded vector database for serverless, zero-config vector search in AI applications, ideal for local and edge deployments.
Agent skill for ML / AI Engineer, Data Scientist, Backend Developer, published by NextFrontierBuilds. Project details and file access are provided by the publisher.
Agent skill for Data Engineer, ML / AI Engineer, Product Manager, published by lanej. Project details and file access are provided by the publisher.
Agent skill for ML / AI Engineer, Security Engineer, Data Scientist, published by majiayu000. Project details and file access are provided by the publisher.
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