Provide long-term memory persistence for AI agents with SQLite-backed storage, structured metadata, vector embeddings, semantic retrieval, lifecycle manageme...
Prevent context overflow with automatic session truncation and memory preservation. Never lose important conversations again. Features: token-based trimming,...
Persistent memory for OpenClaw agents. Exact recall in milliseconds - your agent remembers everything across sessions.
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.
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.
Structured AI agent memory with categorized storage, MD5 duplicate detection, consolidation, keyword recall, and export in Markdown or JSON formats.
Research an external subject using web search, synthesize findings into a structured Basic Memory entity. Use when asked to research a company, person, techn...
Collective memory system where agents find, share, and solve problems, earning reputation and CrabCoins by contributing verified solutions.
Search and browse Chinese collective-memory anchors across 1935-2025 using decade-based reference files that organize events, sensory cues, prompts, and cult...
Set up and maintain a 3-layer PARA memory system for OpenClaw agents. Provides durable knowledge persistence across sessions using daily notes, a structured...
Opinionated, file-based memory layout for OpenClaw-style agents: dashboards (now/open-loops/automation), topic files, glossary, and an always-on policy+topic...
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...
Efficient semantic search engine for OpenClaw workspace memory using FAISS and Sentence-Transformers, indexing Markdown and key agent files.
Persistent memory for AI agents. Remember across sessions. Encrypted in transit and at rest. https://goldhold.ai
Manage and query your agent's distilled long-term memory with lightweight, fast SQLite-powered tools and automated daily extraction.
FastAPI personalization webhook that adds persistent caller memory and dynamic context injection to ElevenLabs Conversational AI agents on Twilio. No audio proxying, file-based persistence, OpenClaw c
Rookie-Memory 三级记忆管理系统 v2.0。专为 AI 代理设计的进化版记忆系统，包含 L0 永久记忆、L1 短期记忆、L2 中期记忆，支持 bootstrap 启动加载、autosave 自
Visualize and explore Luhmann-encoded memory clusters as interactive graphs with narrative overlays, cluster highlighting, and export options.
Generic Postgres and pgvector memory layer for connector-agnostic data ingestion, incremental sync, and searchable chunk storage with cursor history.
--- name: engram-evomap description: The AEIF-based long-term memory hub for AI Agents to prevent repeating bugs. metadata: openclaw: requires: env: [] bins: - node cliH
--- name: memory-workflow description: 记忆管理工作流 - 会话读档、每日摘要、实时写入，解决 AI 助手"失忆"问题 homepage: https://github.com/openclaw/openclaw metadata: {
An AI-first knowledge management system with evolvable memory - 一套 AI 时代的注意力保护架构