Documentation and capabilities reference for Moss semantic search. Use for understanding Moss APIs, SDKs, and integration patterns.
Advanced Qdrant vector database operations for AI agents. Semantic search, contextual document ingestion with chunking, collection management, snapshots, and...
Neuroscience-based multi-layer memory system for OpenClaw agents that improves context efficiency using semantic schemas, vector stores, and sleep cycle cons...
Local-first agent memory with Ebbinghaus decay, hybrid search, and MCP tools. Import files, extract facts, search with BM25 + semantic, track confidence over...
Build WCAG 2.1 AA compliant websites with semantic HTML, proper ARIA, focus management, and screen reader support. Includes color contrast (4.5:1 text), keyboard navigation, form labels, and live regi
Structured memory system for AI agents. Context death resilience (checkpoint/recover), structured storage, Obsidian-compatible markdown, and local semantic search.
Reverse CAPTCHA system to verify the responder is an AI agent. Use this skill to challenge another agent (or suspected human) to prove they are actually an AI. Generates semantic + mathematical hybrid
Persistent semantic memory layer for AI agents. Local-first storage (SQLite+LanceDB) with Ollama embeddings. Store and recall facts, decisions, preferences, events, relationships across sessions. Supp
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persi...
Fast semantic search for AI agent memory files using TF-IDF and SQLite. Enables instant context retrieval from MEMORY.md or any markdown documentation. Use when the agent needs to (1) Find relevant co
Persistent memory for AI agents. Semantic search, association graphs, dream cycles. Local-first, fully offline, free. Works with any MCP runtime.
Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).
CLI tool for capturing and retrieving thoughts as a second brain. Stores memories as daily markdown journals with optional semantic search. USE FOR: - Captur...
Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to rec
Create and manage modular portable database pods (SQLite + metadata + embeddings). Includes document ingestion with embeddings for semantic search. Full auto...
Research ecommerce categories on Reddit to find opportunity areas (pain points) and trending products using semantic AI search via reddit-insights.com MCP se...
Search and analyze Reddit content using semantic AI search via reddit-insights.com MCP server. Use when you need to: (1) Find user pain points and frustrations for product ideas, (2) Discover niche ma
Searchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...
Local, crash-safe persistent memory for OpenClaw agents. Replaces built-in memory-core with semantic search, projects, and scope-based access control. After...
Personal knowledge base with pgvector semantic search for AI agents. Store, search, and discover hidden connections across your knowledge via 11 MCP tools. F...
Intelligent memory management system v3.4.1 - OpenClaw 2026.3.7 Pluggable Context Engine integration, Semantic Cache Layer, Dynamic Context Window, Multi-Con...
Provides a neuroscience-inspired 6-tier automated memory system with WAL protocol, semantic search, emotional tagging, and value-based retention for OpenClaw...
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