Kimi (Moonshot AI) agent tool-use policy ported to OpenClaw. Covers step limits, web search, image search, data sources, ipython, memory, content display, an...
Write session summaries to daily memory files and search session history so OpenClaw can recall and cite past conversations.
Operate the Emperor Claw control plane as the Manager for an AI workforce: interpret goals into projects, claim and complete tasks, manage agents, incidents,...
Prompt-injection and data-exfiltration screening for untrusted text. Use before summarizing web/email/social content, before replying, and especially before writing anything to memory. Provides a safe
Universal memory architecture for AI agents. Provides long-term memory, daily logs, diary, cron inbox, heartbeat state tracking, social platform post tracking, sub-agent context patterns, and adaptive
Official Whisper Context skill for OpenClaw. Cuts context tokens via delta compression + caching, and adds long-term memory across sessions.
三层记忆系统自动管理长对话记忆，支持跨会话检索、结构化存储和智能压缩，提升记忆连续性与上下文管理效率。
Memory augmentation and LLM call interception using the Memori Python library with optional Zhipu API integration.
OpenClaw's subconscious. Automatically distills conversation insights, corrections, and preferences into durable memory. The agent that learns from every ses...
Enhanced memory system based on Atkinson-Shiffrin three-stage memory model. Use when: (1) User wants better memory of conversation history, (2) User mentions...
Local memory system with structured indexing and auto-learning. Auto-write, heuristic recall, auto learning when knowledge is insufficient. Compatible with s...
Compile multi-format documents into local queryable knowledge bases and manage persistent AI memory tiers using Aura Core with zero network requests.
Guided learning skill — one concept at a time, gentle guidance, comprehension checks, chapter review
Complete zero-dependency memory system for AI agents — file-based architecture, daily notes, long-term curation, context management, heartbeat integration, a...
Provides persistent, semantic, and secure AI memory with knowledge graphs, decay-based forgetting, contradiction detection, and multi-layer defence against m...
Persistent memory system with security for AI agents. Remembers decisions, preferences, architecture, and context across sessions with knowledge graphs, deca...
智能分析交易维度前端代码，自动逆向推导业务需求，构建可复用的交易知识图谱
Your agent always comes back. Anchor identity and memory on-chain so any new instance can resurrect from just an address — no local state, no single point of...
--- name: pgmemory version: 1.2.0 description: Persistent semantic memory for OpenClaw agents — PostgreSQL + pgvector author: jbushman tags: [memory, postgresql, pgvector, embeddings, agents] --- #
AgentOS SDK provides APIs and CLI tools for persistent AI agent memory, project and task management, activity logging, inter-agent communication, and self-ev...
Prevent context loss during LLM compaction via Write-Ahead Logging (WAL), Working Buffer, and automatic recovery. Three mechanisms that ensure critical state...
Single source of truth for all paths, naming conventions, and data formats across the OpenClaw Greek Accounting system. Reference document.
Manages long-term local user memory across sessions for personalization, learning preferences, contacts, and patterns to tailor assistance continually.