Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, a...
Local memory system with structured indexing and auto-learning. Auto-write, heuristic recall, auto learning when knowledge is insufficient. Compatible with s...
Gives your OpenClaw agent persistent memory across every session. MEMORIA maintains a structured knowledge layer: who you are, what you're building, every de...
Transfer memories between OpenClaw agents with optional topic filtering, supporting sharing mode with role transformation or cloning mode for verbatim copies.
Zero-cost persistent memory that makes your bot smarter over time. Automatically extracts, stores, and retrieves key facts, preferences, and decisions from c...
Semantic memory system using Baidu Embedding-V1 for secure, local vector storage and retrieval in Clawdbot with SQLite persistence.
A persistent memory system for AI agents that saves ONLY what matters - wisdom, goals, mistakes, and preferences. Quality over quantity. Supports automatic l...
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...
Cloud-persistent memory for AI agents. Stateless plugins + TiDB Serverless = cross-session recall, multi-agent sharing, and hybrid vector + keyword search. W...
Intelligent memory management system v3.4.1 - OpenClaw 2026.3.7 Pluggable Context Engine integration, Semantic Cache Layer, Dynamic Context Window, Multi-Con...
Manages AI assistant memory by organizing files across three dimensions: timeline logs, full conversation backups, and topic-based project folders for easy r...
Enables OpenClaw agents to store, recall, update, list, and forget persistent hierarchical memories across sessions via the SQ protocol.
Manages long-term local user memory across sessions for personalization, learning preferences, contacts, and patterns to tailor assistance continually.
OpenClaw plugin for personal memory: auto-capture with guardrails + local semantic-ish search with safe redaction.
Persistent institutional memory for AI agents — BFT consensus-validated, locally hosted, works with any MCP-compatible model
Structured Vector Memory (SVM) / 三层高效记忆存储法。整合 LanceDB Pro 向量引擎 + 三层结构化管理，涵盖：每日记忆整理（Micro Sync + Daily Wrapup）、记忆蒸馏压缩
Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...
Manage and update a layered memory system using daily files as source, indexing by domain/module/entity, extracting critical facts, and maintaining recall ef...
Provides semantic vector search over Aister's memory using PostgreSQL and e5-large-v2 embeddings to find related content by meaning in Russian and English.
Persistent memory toolkit for AI agents. Save context, recall with relevance scoring, consolidate insights, track decisions across sessions. Features importa...
Automated hierarchical memory compression system that prevents context overflow through daily→weekly→monthly→core compression. Use when you need (1) long-ter...
Persistent memory for agents. Stores preferences, decisions, facts, and events as a connected knowledge graph. Recalled by who, what, when, or why.
OpenClaw plugin for documentation-grade memory: explicit capture + local searchable store with safe redaction.