Self-improving AI memory system with intelligent context injection and adaptive learning
Provide long-term memory persistence for AI agents with SQLite-backed storage, structured metadata, vector embeddings, semantic retrieval, lifecycle manageme...
Automatically analyzes messages for important information and stores it in the right memory files. Runs silently on every message. Filters noise, captures me...
Manage entity status transitions in Basic Memory: archive completed work, move notes between status folders, update frontmatter, and handle edge cases. Use w...
Isolate and coordinate sub-agent memory in OpenClaw with Hippocampus using scoped IDs, bounded merge-back, and explicit cross-agent imports.
Restructure flat MEMORY.md files into a tiered memory system with an entity graph. Use when: (1) MEMORY.md is growing unwieldy or exceeds 150 lines, (2) user...
Convert memory, conversation history, or completed tasks into publishable OpenClaw skills. Use when (1) A task or workflow should be reusable, (2) Extracting...
Memory Enhancer Pro - 专业版记忆增强工具，让 AI 记住所有重要信息。 支持语义搜索、自动提炼、智能分类、Token 优化、定时任务。 优化 token 消耗 30-60%，
按需记忆检索。当用户询问历史相关问题时，自动搜索 memory 和 QMD 获取相关信息。
Analyzes conversation history, extracts user preferences and feedback, updates memory files automatically.
Persistent memory for OpenClaw agents. Exact recall in milliseconds - your agent remembers everything across sessions.
Prevent context overflow with automatic session truncation and memory preservation. Never lose important conversations again. Features: token-based trimming,...
Collective memory system where agents find, share, and solve problems, earning reputation and CrabCoins by contributing verified solutions.
Structured AI agent memory with categorized storage, MD5 duplicate detection, consolidation, keyword recall, and export in Markdown or JSON formats.
Set up shared memory between multiple OpenClaw agents so they stay in sync without the user repeating context. Use when a user has 2+ agents (workspaces) and...
Access the user's digital personal memory to retrieve context and generate more personalized, data-driven responses.
Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, techn...
Efficient semantic search engine for OpenClaw workspace memory using FAISS and Sentence-Transformers, indexing Markdown and key agent files.
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...
Search and browse Chinese collective-memory anchors across 1935-2025 using decade-based reference files that organize events, sensory cues, prompts, and cult...
Opinionated, file-based memory layout for OpenClaw-style agents: dashboards (now/open-loops/automation), topic files, glossary, and an always-on policy+topic...
Set up and maintain a 3-layer PARA memory system for OpenClaw agents. Provides durable knowledge persistence across sessions using daily notes, a structured...
Manage and query your agent's distilled long-term memory with lightweight, fast SQLite-powered tools and automated daily extraction.
Visualize and explore Luhmann-encoded memory clusters as interactive graphs with narrative overlays, cluster highlighting, and export options.