Backup and restore OpenClaw agent memory to IPFS with AES-256-GCM encryption and X1 blockchain CID anchoring
Persistent session memory system that prevents knowledge loss after context compaction. Converts session transcripts to searchable Markdown, builds an auto-u...
Persistent memory for AI coding assistants with hybrid search (FTS5 + vector embeddings), session tracking, automatic context hooks, and web viewer. SQLite-based with no daemon process — works with Cl
Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.
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...
Implements a three-layer memory system with daily logs, curated long-term notes, and optional vector search for persistent, searchable agent context across s...
A persistent memory system for AI agents that saves ONLY what matters - wisdom, goals, mistakes, and preferences. Quality over quantity. Supports automatic l...
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...
Solve the "agent forgot everything" problem with search-first protocol, automated memory sync, and context preservation. No more conversation restarts!
Store and semantically search text memories locally using Ollama with automatic management and optimization.
High-performance vector search and persistent memory using libSQL.
Two-tier memory with hot cache (instant injection) and cold semantic search. Auto-promotes frequently-used patterns, extracts knowledge from Claude outputs, and organizes via knowledge graph relations
Remember user details and preferences across conversations. Organize facts into connected profiles for richer, long-term context. Search, update, and automatically extract locations to keep memories a
OpenClaw 记忆增强助手 - 让 AI 记住所有重要信息，不再遗漏关键内容。 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%，自动压缩旧记忆。 关键词：openclaw, memory, search, ai, productivity, optimiz...
Core runtime/volatile memory module for BenOS agent environment. Use to: store and retrieve active session state, open loops, decisions, and scratch notes at...
Local semantic memory with Qdrant and Transformers.js. Store, search, and recall conversation context using vector embeddings (fully local, no API keys).
Long-term structured memory with knowledge graph, entity tracking, temporal reasoning, and cross-session recall. Powered by the Cortex API.
This tool is a cutting-edge memory engine that blends real-time learning, persistent three-tier context awareness, and seamless LLM integration to continuously evolve and enrich your AI’s intelligence
Visualize and explore geo-tagged memories on interactive maps with clustering, temporal playback, and shareable, privacy-controlled overlays.
High-precision memory with 100% recall accuracy for long contexts.
Persistent memory plugin for OpenClaw agents. Hybrid SQLite FTS5 keyword + Ollama vector semantic search with auto-capture, auto-recall, stuck-detection, and...