File-based memory system for AI agents that forget between sessions. Implements the "Dory-Proof" pattern for continuity across context resets. Use when setting up agent memory, building workspace stru
Provides persistent memory management for storing, retrieving, updating, and deleting user-related information across conversations in OpenClaw AI.
Give your AI agent emotional continuity across sessions. Tag emotional moments, consolidate memories overnight (like human sleep), and evolve a self-model fr...
Implements a layered, selective long-term memory system that records, retrieves, and updates contextual information with human-like imperfection and maintena...
Step-by-step guide to install and configure the PowerMem long-term memory plugin. After setup, the plugin auto-captures conversation highlights and auto-reca...
将 OpenClaw 的完整工作空间配置（SOUL.md, IDENTITY.md, USER.md, MEMORY.md, TOOLS.md, memory/*等）同步到 GitHub 进行备份和版本控制，支持跨服务器迁移。Use when user men
Curate Claude Code's auto-memory into durable project knowledge. Analyze MEMORY.md for patterns, promote proven learnings to CLAUDE.md and .claude/rules/, ex...
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
Persistent local memory system for AI agents across conversations — file-based, zero external dependencies. Trigger when: (1) user asks to "remember" somethi...
Never lose context again. The Write-Ahead Log (WAL) protocol with SESSION-STATE.md gives your agent bulletproof memory that survives compaction, restarts, an...
Smart memory search with automatic vector fallback. Uses semantic embeddings when available, falls back to built-in search otherwise. Zero configuration - works immediately after ClawHub install. No s
Scans OpenClaw agent memory files and workspace configs for malicious content, credential leaks, prompt injections, and security threats.
Built by Axobotl (@Inner_Axiom). Production-grade Honcho memory system battle-tested on a 6+ agent fleet with 1000+ messages. Replaces embedding-based retrie...
Add persistent memory to any agent so it can remember prior work, maintain context across sessions, and continue long-running workflows.
Persistent memory system for OpenClaw agents: reads session logs, extracts facts/decisions/solutions, manages temperature-based lifecycle, and generates MEMO...
Comprehensive memory management optimization for AI agents. Use when: (1) Agent experiences context compression amnesia, (2) Need to rebuild context quickly...
Manages AI assistant long-term memory with layered storage for facts, events, skills, context, and fast indexing, including backup and integrity tools.
OpenClaw's subconscious. Automatically distills conversation insights, corrections, and preferences into durable memory. The agent that learns from every ses...
Write session summaries to daily memory files and search session history so OpenClaw can recall and cite past conversations.
Monitors and scores agent identity and memory integrity by hashing key files, tracking changes, detecting drift, and providing continuity alerts for OpenClaw...
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