Memory System Skills for OpenClaw Agents

Agent Memory

@dennis-da-menace

Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.

AGI记忆模组

@kiwifruit13

用户与模型间的任何交互行为都会触发此技能；提供Context Engineering五大核心能力（选择、压缩、检索、状态、记忆）及认知模型层支持；作为元技能强制常驻运行

MeshMorize

@mozz0

Memory system for AI agents on OpenClaw-like hosts. File-based multi-layer memory: fresh daily layer (5-day rotation), mesh graph, auto-log of every exchange, cross-layer grep search, compliance check, crash-gap recovery from session transcripts, automation-registry lookup. Search before answering, log after answering. Local-first, $0 to run, survives restarts.

TinkerClaw Memory Bench

@globalcaos

Be one of the first to benchmark your agent's memory — and help shape how AI remembers. Peer-review-grade evaluation (LLM-as-judge, nDCG/MAP/MRR with 95% CIs, ablations) against your live memory system. Runs entirely LOCALLY by default — no memory content leaves your machine, and excerpts are redacted even on the local path. The optional OpenAI judge is opt-in, prints the exact request body it would send, redacts secrets first, requires typed consent, and cannot be switched on by an unattended run. Submitting results is a separate confirmed step that validates the report against the full schema and previews every field in it, and identifies you only if you pass --contributor. Built for the TinkerClaw fork — github.com/globalcaos/tinkerclaw. See Permissions, Data Flow & Consent.

Wiki

@nkhoit

LLM-maintained personal knowledge base. Compile raw sources into a structured markdown wiki, auto-lint for consistency, serve as a browsable website. Inspire...

Memory Compress

@linglin6

Never let your agent forget what matters. Compress verbose daily logs into structured summaries — 4-8x compression, zero information loss. Inspired by classi...

Cognitive Memory

@icemilo414

Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forget triggers, enabling sleep-time reflection, building knowledge graphs, or adding audit trails. Replaces basic flat-file memory with a cognitive architecture featuring episodic, semantic, procedural, and core memory stores. Supports multi-agent systems with shared read, gated write access model. Includes philosophical meta-reflection that deepens understanding over time. Covers MEMORY.md, episode logging, entity graphs, decay scoring, reflection cycles, evolution tracking, and system-wide audit.

Vestige

@belkouche

Cognitive memory system using FSRS-6 spaced repetition. Memories fade naturally like human memory. Use for persistent recall across sessions.

Elite Longterm Memory

@lhmiles

Local vector memory system with LanceDB + Pure JS embedding. No native modules or external APIs required.

Obsidian Memory System

@catteres

Structured persistent memory system using an Obsidian vault with daily journals, project docs, knowledge base, self-improvement logging, and Discord workspac...

OpenClaw Memory

@weareallsatoshin

Manage, optimize, and troubleshoot the OpenClaw memory system — MEMORY.md curation, daily logs (memory/YYYY-MM-DD.md), memory_search tuning, compaction survi...

Memory System V2

@kellyclaudeai

Fast semantic memory system with JSON indexing, auto-consolidation, and <20ms search. Capture learnings, decisions, insights, events. Use when you need persistent memory across sessions or want to recall prior work/decisions.

Hippocampus

@impkind

Persistent memory system for AI agents. Automatic encoding, decay, and semantic reinforcement — just like the hippocampus in your brain. Based on Stanford Generative Agents (Park et al., 2023).

self-evolving-memory

@hal-9909

Orchestrate the OpenClaw memory system so it actually runs reliably in practice. Use when the task involves capturing user preferences, current task state, c...

龙虾记忆大师

@konzenkane

真正的长期记忆管理技能。自动维护记忆文件、定期归档、智能提醒。 包含 Working Buffer 协议、Memory Maintenance 清单、自动学习日志。 When to use: - User asks about prior work, decisions, dates, people, prefe...

ClawVault

@g9pedro

Agent memory system with memory graph, context profiles, checkpoint/recover, structured storage, semantic search, observational memory, task tracking, canvas...

Git-Based Knowledge Graph Memory System for Claude Code

@mourad-ghafiri

Git-Notes-Based knowledge graph memory system. Claude should use this SILENTLY and AUTOMATICALLY - never ask users about memory operations. Branch-aware persistent memory using git notes. Handles context, decisions, tasks, and learnings across sessions.

memory-handoff

@solomonneas

Use at the end of any session that discovered durable knowledge (architecture decisions, root causes, setup gotchas, workflow changes, security findings, reusable patterns), or when the user says "hand off", "write a handoff", or "save this for the memory system".

Claw Brain

@clawcolab

Claw Brain - Personal AI Memory System for OpenClaw/ClawDBot. Provides memory, personality, bonding, and learning capabilities with encrypted secrets support...

Human-Like Memory

@humanlike2026

HumanLike Memory / Human-Like Memory is a persistent AI agent memory system for long-term memory search, recall, and save. It helps agents store facts, prefe...

Context Optimizer

@ad2546

Advanced context management with auto-compaction and dynamic context optimization for DeepSeek's 64k context window. Features intelligent compaction (merging, summarizing, extracting), query-aware relevance scoring, and hierarchical memory system with context archive. Logs optimization events to chat.

Agent Memory System

@ccyaolei

OpenClaw Agent 长期记忆系统 - 温度模型 + 自动归档 + 知识提炼。让 AI Agent 拥有持久记忆，自动管理冷热数据，从经验中提炼可复用技能。

Triple Memory

@ktpriyatham

Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.

Triple Memory

@ktpriyatham

Complete memory system combining LanceDB auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory, when you need persistent context across sessions, or when managing decisions/preferences/tasks with multiple memory backends working together.

thinking-model-enhancer

@xqicxx

Advanced thinking model that improves decision-making speed and accuracy. Integrates with memory system to compare and integrate previous thinking models for continuous enhancement.

大哥的记忆系统

@daoistbro

自研三层记忆恢复系统。解决session重启后"忘记一切"的问题，提供永久记忆、今日记忆、临时记忆的完整架构。

simple-memory-skill

@shianaixuexi-cell

Zero-dependency AI memory system. No API keys needed. Pure local storage with smart search. Works everywhere.

hplan

@noirewinter

Hierarchical persistent planning for complex multi-phase tasks. Use when the user asks to plan, break down, or execute a task involving multiple steps, deliv...

Agent Memory Framework

@azhong517-svg

三层记忆系统框架。为 Agent 提供持久化记忆能力，包括日记忆、长期记忆和归档机制。触发词：记忆系统、memory system、记忆初始化、设置记忆、新建记忆、记忆蒸馏、归档记忆。当需要为新 Agent 配置记忆能力、或管理已有记忆时使用。