--- name: memory-compact description: 每日记忆自动压缩备份和关键点提取，每天早上 6:30 运行 command-dispatch: script metadata: { "openclaw": { "requires": { "
Enable multiple agents to share, merge, and sync memories using standardized formats, priority rules, and Git-based version control for collective intelligence.
Provides a comprehensive score (0-100) evaluating the Agent's memory system health across completeness, freshness, structure, density, and consistency.
Structured knowledge base and task management using org-mode files. Query, mutate, link, and search org files and org-roam databases with the `org` CLI.
This skill should be used when the user asks to "remember project context", "save SEO data", "track campaign progress", "store keyword data", "manage project...
一个安全的本地化记忆系统，结合百度Embedding语义搜索、Git Notes结构化存储和文件系统，确保数据隐私和安全。
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.
Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
Search and retrieve relevant information from your indexed memory files using semantic queries and direct file reads for context.
Configure OpenClaw memory search to use Ollama as the embeddings server (OpenAI-compatible /v1/embeddings) instead of the built-in node-llama-cpp local GGUF loading. Includes interactive model selecti
Agent memory with ALMA meta-learning, LLM fact extraction, and full-text search. Observer calls remote LLM APIs (OpenAI/Anthropic/Gemini). ALMA and Indexer w...
Automatically prune and compact agent memory files to prevent unbounded growth. Circular buffer for logs, importance-based retention for state, and configura...
Zero-cost persistent memory that makes your bot smarter over time. Automatically extracts, stores, and retrieves key facts, preferences, and decisions from c...
Periodically reviews conversation history and writes memory files to maintain agent continuity across sessions. Dual-layer system with daily raw notes and cu...
LanceDB long-term memory plugin with BM25 + vector hybrid search (RRF or linear reranking).
三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括：(1) 滑动窗口式短期记忆，(2) 自动摘要生成中期记忆，(3)
High-precision memory with 100% recall accuracy for long contexts.
Provides structured long-term memory with semantic, keyword, and knowledge graph retrieval, entity extraction, temporal versioning, and experiential learning.
Store and semantically search text memories locally using Ollama with automatic management and optimization.
Session-first memory curator for OpenClaw. Keeps RAM clean, recall precise, and durable knowledge safe.
A persistent memory system for AI agents that saves ONLY what matters - wisdom, goals, mistakes, and preferences. Quality over quantity. Supports automatic l...
Persistent session memory system that prevents knowledge loss after context compaction. Converts session transcripts to searchable Markdown, builds an auto-u...