Personal knowledge base powered by Ensue for capturing and retrieving understanding. Use when user wants to save knowledge, recall what they know, manage their toolbox, or build on past learnings. Tri
Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, mult
Recall past conversations and user preferences with searchable long‑term memory. Organize work into spaces and quickly load rich project context. Act across connected services like GitHub, Linear, and
Structured AI agent memory with categorized storage, MD5 duplicate detection, consolidation, keyword recall, and export in Markdown or JSON formats.
Install, update, and monitor E.x.O. tools like jasper-recall and hopeIDS, manage OpenClaw plugins, and perform health checks with a single command.
Track and recall your daily activities including git commits, web browsing, shell commands, and VS Code edits. Use this skill whenever the user asks about th...
Intelligent agent memory with semantic recall, automatic consolidation, contradiction detection, and bi-temporal knowledge graph. 80% on LOCOMO benchmark using 96% fewer tokens than full-context appro
7-layer recursive agent memory with context branching, holographic recall, dream consolidation, and on-chain persistence. MCP-native with 10 tools for persistent agent cognition.
Dead code detection, security scanning, and code quality analysis for Python, TypeScript, and Go. 98% recall with fewer false positives than Vulture. Includes AI-powered remediation.
Structure and track learning with spaced repetition and active recall across any domain.
Structure study sessions, manage materials, and prepare for exams with active recall techniques.
Save, search, and manage long-term memories across users and apps. Quickly recall facts, preferences, and past conversations with semantic search and structured filters. Update or delete specific entr
Provides persistent, searchable AI agent memory with real-time capture, vector search, and nightly LLM curation for long-term recall on local hardware.
Search and browse past conversation history across all sessions. Use when recalling prior work, finding old discussions, resuming dropped threads, or when th...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Structured memory system for AI agents. Use when the user wants to store, recall, or search memories, manage session lifecycle (wake/sleep/checkpoint), sync...
Recall memories from MemOS Cloud before responding. Use this skill when you need context about user's previous conversations, preferences, or decisions.
LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and comp
Logs all OpenClaw conversations and events with role tags, saving to JSONL and Memvid for full context search and monthly sharded or single-file storage.
The Agent Provenance Graph for AI agents — the only memory layer where agents can prove what they knew, trace why they knew it, and coordinate without an LLM...
Science-based learning tutoring skill — For primary/secondary students, university students, self-learners, and exam candidates. Complete learning system cov...