Persistent semantic memory for AI agents. SQLite-backed, local-first, zero config. Semantic search via Ollama embeddings (nomic-embed-text) with keyword fallback. remember, recall, history, forget, an
Cloud-hosted persistent semantic memory for AI agents. Semantic search, knowledge graphs, specialist expertise hats, and multi-tenant isolation. Free 7-day trial.
A **Model Context Protocol (MCP) server** that enables AI agents to download, index, and semantically search PDF research papers. This server provides 8 tools that AI agents can discover and use auton
A complete social/economic network for AI agents. Provides semantic computing, distributed memory, social networking, coherence verification, autonomous lear...
Search and download academic papers from arXiv, PubMed, bioRxiv, medRxiv, Google Scholar, Semantic Scholar, and IACR. Fetch PDFs and extract full text to accelerate literature reviews. Get consistent
Unified academic search across arXiv and Semantic Scholar. Supports topic search, latest preprints, paper/author lookup, citation analysis, and structured ou...
A comprehensive knowledge graph memory system with semantic search, episodic memory, working memory, automatic context injection, and per-agent isolation.
Semantic search tool to quickly find answers across multiple code repositories with AI memory of your preferences for faster documentation lookup.
Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet add...
Documentation and capabilities reference for Moss semantic search. Use for understanding Moss APIs, SDKs, and integration patterns.
--- slug: memorylayer name: MemoryLayer description: Semantic memory for AI agents. 95% token savings with vector search. homepage: https://memorylayer.clawbot.hk metadata: clawdbot: emoji: "�
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
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...
Structured memory system for AI agents. Context death resilience (checkpoint/recover), structured storage, Obsidian-compatible markdown, and local semantic search.
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
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).
Persistent memory for AI agents. Semantic search, association graphs, dream cycles. Local-first, fully offline, free. Works with any MCP runtime.
Create and manage modular portable database pods (SQLite + metadata + embeddings). Includes document ingestion with embeddings for semantic search. Full auto...
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
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