Memory-as-a-Service for AI agents. Store and recall memories with semantic vector search. 100 free calls per wallet, then x402 micropayments. Your wallet address is your identity.

Memory augmentation and LLM call interception using the Memori Python library with optional Zhipu API integration.

Gives your OpenClaw agent persistent memory across every session. MEMORIA maintains a structured knowledge layer: who you are, what you're building, every decision made, every lesson learned, every project in flight. Your agent stops being a stranger and starts being a colleague who was there for everything. Zero cloud. Zero API keys. All memory lives in a single local markdown file you own and control forever.

Memoria System

Memory Cache

Memory Guard Agent Memory Integrity & Security

Memory Ops

memory scan

Memory Search

Memory Transfer Skill

Memory Transfer Skill

Be one of the first to benchmark your agent's memory — and help shape how AI remembers. Runs a peer-review-grade evaluation suite (LLM-as-judge, nDCG/MAP/MRR with 95% CIs, ablation studies) against your live memory system and submits anonymized results to the ENGRAM/CORTEX research papers. Your data stays private; only aggregate stats leave. Works with agent-memory-ultimate. For the bold few who believe AI memory should be measured, not guessed at.

OpenClaw + Ollama 中文记忆系统优化。诊断 FTS5 unicode61 中文分词 bug，优化搜索参数，自动维护记忆文件。命中率从 55% 提升到 100%。

Integrated memory management and extreme context compression for OpenClaw. Combines memory management, compression, search, and automation in one unified skill.

Distill verbose daily logs into compact, indexed digests. Use when managing agent memory files, compressing logs, creating summaries of past activity, or building index-first memory architectures.

Audit, clean, and optimize Clawdbot's vector memory (LanceDB). Use when memory is bloated with junk, token usage is high from irrelevant auto-recalls, or setting up memory maintenance automation.

Copy and snapshot all important agent context (MEMORY.md, memory/*.md, AGENTS.md, SOUL.md, etc.) into a dedicated archive directory or repo. Use this skill when you want to back up your memories, context, or configuration files in preparation for maintenance, corruption recovery, or transferring to another host.

This skill should be used when the user asks to "remember project context", "save SEO data", "track campaign progress", "store keyword data", "manage project memory", "remember this for next time", "save my keyword data", or "keep track of this campaign". Manages a two-layer memory system (hot cache + cold storage) for SEO/GEO project context, tracking keywords, competitors, metrics, and campaign status with intelligent promotion/demotion.

三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括：(1) 滑动窗口式短期记忆，(2) 自动摘要生成中期记忆，(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。

三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括：(1) 滑动窗口式短期记忆，(2) 自动摘要生成中期记忆，(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。

三级记忆管理系统 (Three-Tier Memory Management)。用于管理 AI 代理的短期、中期、长期记忆。包括：(1) 滑动窗口式短期记忆，(2) 自动摘要生成中期记忆，(3) 向量检索长期记忆 (RAG)。当需要管理对话历史、优化上下文、构建个人知识库、或实现记忆持久化时使用此 Skill。

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。

Organize, compress, and curate OpenClaw memory without polluting permanent memory. Use when the user wants to compress memory files, clean dated memory notes, reduce startup context, remove redundancy, or keep MEMORY.md focused on must-read long-term facts only. Preserve day-by-day memory files for historical detail, and promote only stable essentials such as user preferences, durable project configuration, and active cross-session todos.

Persistent memory system for AI agents — daily logs, long-term memory, identity files, and heartbeat-driven recall. Solves context amnesia across sessions.