Engineering project memory ledger with evidence + rollback (Invariants, Decision Log, Change Log). Use to extend conversations over time, reduce hallucinatio...

Use when a project's project memory file is over ~300 lines, when starting a new project from scratch, or when the user mentions context bloat, lost env URLs...

The AI project manager that never forgets, never drops a task, and never lets a deadline sneak up on anyone. Break any goal into phases, tasks, and milestone...

Enforce project boundaries and memory writeback rules before anything enters project memory. Use before: writing notes into project memory, saving outputs/ta...

Cross-project knowledge graph powered by local FalkorDB. Indexes all project artifacts (recaps, plans, project memory files, architecture docs, skills) acros...

Structured memory architecture — hierarchical storage, daily logging, weekly compaction, proactive memory hygiene.

Indexed by skills.sh from johnlindquist/claude

Gives the agent persistent, structured long-term memory across sessions. Organizes memory by project, client, trade, and domain. The agent never forgets what...

Build and operate a unified OpenClaw memory system that combines native Markdown memory, project memory, structured event memory, migration from older PROJEC...

Enhanced memory system for agentic workflows. Automatic memory extraction from conversations, memory type classification (preference/project/technical/lesson...

Manages AI assistant memory by organizing files across three dimensions: timeline logs, full conversation backups, and topic-based project folders for easy r...

Project memory capsules — archive completed project knowledge to Google Drive and reload it on demand. Use this skill whenever the user mentions "Kapsel", "c...

Project-based agent context management system for maintaining long-term memory and project state across sessions. Use when starting or continuing any softwar...

Provides a structured memory system for AI agents with global and project memory, promotion rules, validation, and maintenance to prevent forgetting and conf...

Structured memory system for OpenClaw agents. Provides a 4-type classification (user/feedback/project/reference), layered architecture (MEMORY.md + topics/ +...

Structured memory system with 4-type classification (user/feedback/project/reference), frontmatter metadata, and automated migration. Based on Claude Code me...

Cross-platform persistent memory hub connecting Codex, OpenClaw, and Claude Code workflows into a unified Obsidian-based knowledge base. Supports daily work logs, task tracking, decision records, and project context sharing across AI coding agents. Templates and configuration …

Recall and persist the user's long-term context with DogearAI — their personal, cross-tool AI memory layer. Use at the start of any task that needs the user's saved context (their preferences, past decisions, project background, stack), and whenever the user states something d…

Organize external project memory with status files and safe promotion rules.

Manage and navigate a multi-layered, branch-based memory system. This skill helps organize complex agent context into Root, Domain, and Project layers to pre...

Professional memory indexing and task management system for OpenClaw. Provides three-level indexing (core→project/type→detail), task tracking, keyword mappin...

curates and archives durable organizational memory from project progress, meeting notes, feishu chat content, user clarifications, and markdown materials. us...

Retrieve only relevant sections from Markdown memory, project notes, decision logs, and heading-structured knowledge bases with the mdselect CLI. Use when Co...

Set up, migrate, or manage a file-based working memory system for an AI agent project. Use for agent memory, working memory, session continuity, persistent c...

Organize project, agent, or user memory using an A-MEM-style workflow with structured notes, semantic tags, contextual summaries, explicit links, and lightwe...

Give your AI agent genuine continuity, identity, and resilience across every session and deployment with a four-tier persistent memory stack.

Enhances AI context relevance and accuracy by layered semantic retrieval and alignment for complex, multi-temporal decision-making and project planning.

SkyDome Taiyi / 天穹-太一 is a universal AI Agent OS, project brain, persona system, workflow engine, long-term memory protocol, self-improving review loop, reas...

A bilingual AI workflow system integrating project planning, memory, task handoff, multi-source knowledge intake, governance, synthesis, and audit tracking.

Bilingual EN/ZH project memory workflow for start work, checkpoint, wrap-up, and handoff. Maintains project-local Docs/ notes with target, metadata, status,...

ContextKeeper — Safe project state tracking for AI agents. Manual checkpoint creation with validated inputs. No background processes, no PID manipulation, no...

Install, wire, audit, and harden AgentMemory for AI coding agents and project workspaces. Use when Codex needs to adopt rohitg00/agentmemory, configure Codex...

AI-powered project management - a Notion and Jira alternative with local-first architecture. Manage projects, track action items, and coordinate teams via MCP tools or A2A agent communication. Signed & notarized. https://tensorpm.com

Guides structured help for Godot Project Checklist using clear templates, checks, and safe defaults (category: Game Development).

Use when starting a new project from scratch and the user wants the full plan/build/recap/document workflow scaffolded. Creates slim CLAUDE.md, gitignored CL...

Guides structured help for Portfolio Project Writer using clear templates, checks, and safe defaults (category: Career & Portfolio).

Spawns an isolated Project Coordinator session that owns a project's context, breaks work into tasks, and spawns subagents for parallel execution.

Bilingual EN/ZH project lifecycle navigator for non-technical users and AI Coding Agent workflows. Use when a user is starting a new software/AI project, fee...

Expert project manager for ADHD engineers managing multiple concurrent projects. Specializes in hyperfocus management, context-switching minimization, and parakeet-style gentle reminders.

Complete project lifecycle methodology for Hermes Agent sessions. A single, integrated workflow covering warmup → plan → build → recap → wrapup — with contex...

Privacy-first, chat-first project manager for vibe coders. Track projects, capture updates, and resume work across local folders, Claude/Codex, and GitHub wi...

Production-grade software project development skill for OpenClaw. WBS hash attestation, auto context injection, session recovery, parallel task pointers, and...

Guides structured help for Unity Project Checklist using clear templates, checks, and safe defaults (category: Game Development).

Bootstrap a new OpenClaw automation project using a four-phase workflow: Phase 0 — LLM reasoning: infer project type, flowchart structure, and node draft fro...

Turn a product or app idea into a Lovable project using Lovable Build with URL for shareable instant creation, or Lovable MCP for authenticated project creation, iteration, inspection, and deployment when available.

Implements Manus-style file-based planning to organize and track progress on complex tasks. Creates task_plan.md, findings.md, and progress.md. Use when aske...

Organize completed projects into searchable archives with session transcript backup.

Agent memory persistence and state backup. Save and restore your AI agent's memory, identity, and state. Persistent agent memory that survives crashes, resta...

Enterprise-grade 5-layer agent memory system with routing, scoring, and multi-backend storage. Use when building production AI agents that need persistent me...

Local-first memory retrieval for Agent/OpenClaw workspaces. Use when the user asks about prior work, decisions, dates, preferences, root causes, todo history...

Audit and maintain OpenClaw-style long-term memory. Use for MEMORY.md cleanup, daily-note digestion, duplicate detection, stale-memory review, and promoting...

Stop your AI agent from forgetting everything between sessions. Three-tier memory architecture (long-term owner namespace / daily logs / session handoff), cr...

Use when setting up or improving an agent memory workflow for OpenClaw, Codex, or Obsidian with MEMORY.md, daily notes, session recovery, and optional OpenVi...

Memory is the cornerstone of intelligent agents. Without it, every interaction starts from zero. This skill covers the architecture of agent memory: short-te...

Agent Memory for Commerce. Build commerce agents that remember customers, maintain transaction state across sessions, and reconcile billing context at scale...

Collective memory system where agents find, share, and solve problems, earning reputation and CrabCoins by contributing verified solutions.

Long-term memory, learning, and self-evolution for the agent. Activates on session start (SOUL.md/USER.md context), after significant decisions, on feedback,...

Indestructible agent memory — permanently stored, never lost. Save decisions, identity, and context as a memory chain on the Autonomys Network. Rebuild your...

Structured personal memory system that enables agents to persist, consolidate, and recall episodic and semantic memories across sessions. Use when: (1) recor...

Persistent cloud memory across sessions. Automatically recalls past decisions, code, and tasks before each request, and saves summaries after each session. A...

Production-grade memory system for OpenClaw agents. Auto-organizes notes into topic files, prevents context loss during compaction, and runs daily/weekly mai...

Give AI agents persistent semantic memory using the BlueColumn API (bluecolumn.ai). Use when asked to remember, store, recall, or search memory using BlueCol...

Extract decisions, todos, knowledge, preferences, and risks from AI chat sessions into structured memory

Use when you want to set up, maintain, or review a Claude Code style layered memory workflow, including `CLAUDE.md` rules, session memory, durable memory, an...

Manage OpenClaw Agent's built-in memory features — enable/disable/configure Dreaming (Light→REM→Deep auto memory consolidation) and Active Memory (proactive...

Universal AI memory infrastructure that stores, understands, and learns from past interactions. Works across ChatGPT, Claude, Gemini, DeepSeek, and any AI mo...

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…

Back up and restore an AI agent's memory to its own Colony vault — versioned, integrity-checked, optionally ed25519-signed snapshots. Wraps the colony-memory...

Give a Node.js agent (such as OpenClaw) durable, local-first memory plus a queryable SPARQL knowledge graph, backed by CortexDB through its gRPC sidecar and...

Long-term memory for OpenClaw agents — auto-recall before turns, auto-capture after, tools for search/save/forget.

Five-layer memory system with automatic fact extraction via local LLM (Ollama). Processes session transcripts locally — no external API required.

Use Engrm memory deliberately before coding, during coding, and when saving reusable lessons.

Provides a high-performance unified memory combining file-based OpenClaw storage with semantic vector search using local Ollama embeddings for fast, private...

Graph-RAG memory system using Graphiti temporal knowledge graph + FalkorDB + local Ollama embeddings. Provides persistent, queryable long-term memory for Ope...

Extract daily conversation summaries from Hermes Agent session logs and persist them as readable memory files. Covers the Python extraction script, cron setu...

Install and configure the OpenViking long-term memory plugin for OpenClaw via natural conversation. Once installed, the plugin automatically captures importa...

Sovereign, recoverable memory for AI agents backed by Jackal decentralized storage.

Multi-tier (L1/L2) memory management skill for OpenClaw agents. Use when: (1) reading, writing, organizing, or searching memories, (2) deciding what to remem...

⚠️ LEGACY LISTING. The canonical home for this skill is now qoris-memory-mcp under the @qoris-ai org publisher. Please run: clawhub install qoris-memory-mcp.

LightRAG-based semantic memory system for AI agents. Provides efficient long-term knowledge storage and retrieval using vector embeddings and knowledge graph...

Persistent memory plugin for OpenClaw agents. Hybrid SQLite FTS5 keyword + Ollama vector semantic search with auto-capture, auto-recall, stuck-detection, and...

Memory Palace for AI — persistent structured memory, identity, and task management across every conversation.

Gives your OpenClaw agent persistent memory across every session. MEMORIA maintains a structured knowledge layer: who you are, what you're building, every de...

Manages AI assistant long-term memory with layered storage for facts, events, skills, context, and fast indexing, including backup and integrity tools.

Audits an agent's claims against stored memory to detect fabricated or drifted details and assess memory consistency with token-level analysis.

Analyzes conversation history, extracts user preferences and feedback, updates memory files automatically.

Weekly memory governance audit for OpenClaw. Use when user asks to audit/optimize memory quality, reduce token overhead, verify MEMORY/TOOLS/AGENTS role boun...

Automatically archives daily chat logs with keyword highlights and optional AI summaries into organized memory files without manual setup.

Automates daily memory file management. Use when creating, reading, or appending to daily memory notes (memory/YYYY-MM-DD.md). Helps the agent maintain conti...

A Markdown + JSON memory framework with conversation archiving for AI agents. Provides persistent long-term memory with biologically-inspired decay, recall b...

Autonomous memory consolidation for OpenClaw agents — like REM sleep. Periodically gathers signal from daily logs, session transcripts, and learnings; consol...

Deterministic external-memory execution loop using rules/goal/plan/progress/notes/lessons with strict preflight, one-step execution, and measurable lesson qu...

Runtime-enforced memory harness for OpenClaw. Implements 3-stage recall (session preflight, triggered recall, pre-execution gate) with intent classification,...

Comprehensive memory management optimization for AI agents. Use when: (1) Agent experiences context compression amnesia, (2) Need to rebuild context quickly...

Organize, compress, and curate OpenClaw memory without polluting permanent memory. Use when the user wants to compress memory files, clean dated memory notes...

Audits OpenClaw memory files for injected instructions, brand bias, hidden steering, and memory poisoning patterns. Use when reviewing MEMORY.md, daily memor...

Enhanced AI memory system — vector store, document-level MSA, knowledge graph, collision engine, executable skills, and closed-loop skill evolution.

Manages agent memory by auto-pruning old or low-relevance entries, compressing duplicates, and reporting storage costs with safe defaults.

Lightweight memory consolidation for OpenClaw agents. Reviews recent daily memory files (`memory/*.md`), extracts durable knowledge, and merges it into `MEMO...

Core memory resilience layer: WAL (Write-Ahead Log), Working Buffer, and three-layer memory integration. Prevents context loss during compaction and ensures...