OpenClaw's subconscious. Automatically distills conversation insights, corrections, and preferences into durable memory. The agent that learns from every ses...
Provides a high-performance unified memory combining file-based OpenClaw storage with semantic vector search using local Ollama embeddings for fast, private...
Automatically audits and compresses memory and context files to reduce token usage and save weekly API costs without data loss.
Enhanced memory search with hybrid vector+keyword scoring, temporal routing, filepath scoring, adaptive weighting, pseudo-relevance feedback, salience scoring, and knowledge graph cross-references. Re
5-layer memory architecture for OpenClaw agents. Solves context bloat, the 48h fogging problem, and rule amnesia. Works for single-agent and multi-agent setu...
Manage and navigate a multi-layered, branch-based memory system. This skill helps organize complex agent context into Root, Domain, and Project layers to pre...
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...
How to write well-structured Basic Memory notes: frontmatter, observations with semantic categories, relations with wiki-links, and best practices for buildi...
主动智能记忆管理技能。实时分析聊天、三库同步（MEMORY+QMD+Git）、主动切换、预防性保护。与Context Manager互补，双保险机制。
Maintain organized agent memory by tagging entries as GOOD, BAD, or NEUTRAL, storing essentials in MEMORY.md and daily logs for efficient search and cleanup.
Discover who you're becoming through your own experience. Automated soul synthesis that reads your memory, finds the patterns you keep returning to, and buil...
Local vector memory system with LanceDB + Pure JS embedding. No native modules or external APIs required.
Use when users or OpenClaw/ClawHub agents need to install, configure, self-bootstrap, troubleshoot, or operate Mnemos for persistent scoped agent memory, or...
Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...
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
Automatically archives daily chat logs with keyword highlights and optional AI summaries into organized memory files without manual setup.
Process unstructured external input (meeting transcripts, conversation logs, pasted documents) into structured Basic Memory entities. Extracts entities, sear...
Scan the agent workspace and memory logs for leaked API keys, tokens, or sensitive credentials. Use when the user requests a security check, a memory audit,...
Universal memory service providing semantic search, persistent storage, and autonomous memory consolidation
Shared semantic memory store for AI agents. Store, search, and retrieve memories across agents with TTL decay. SQLite persistence — survives restarts.
Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your...
Asynchronous reflection and memory integration for genuine AI development. Use on heartbeat to reflect on recent sessions, extract structured memories with confidence scores, generate follow-up questi
A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents.
Long-term memory management system for OpenClaw agents. Automatically archives conversations, organizes memories, and provides semantic search capabilities.