Graph memory for AI agents — decisions, context, and session history that survive across every conversation. Works with any LLM.

clawdi

Cross-agent long-term memory for the current user: their preferences, coding habits, named projects / repos / tools, past bugs and architecture decisions, and anything they reference with 'my', 'I usually', 'like last time', 'the one we set up', etc. Surface this skill BEFORE answering any question about the user themselves, their work, or their history — even when phrased abstractly (e.g. 'what do I usually use for X'). Also provides connected-service tools (Gmail, GitHub, Notion, Drive, Calendar, etc.).

swift-mlx-lm

MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.

Delimit

One workspace for every AI coding assistant. Shared tasks, memory, and governance.

Io.Github.EDKarlsson/Locus

Hierarchical markdown memory palace for AI agents — structured palace navigation via MCP tools.

BrainBrainBrains

Persistent memory + context layer for AI dev teams. 17 tools via MCP.

Claude Code Organizer

Organize Claude Code memories, skills, MCP servers, commands, agents, rules via drag-and-drop.

Persistent project-aware memory for AI coding tools. Built on MCP. Works with Codex, Claude Code, and other MCP-compatible clients.

Io.Github.4rgon4ut/Sutra

Context Engineering Engine. Provides cognitive tools, memory structures, and agent patterns.

Mnemon Mcp

Persistent layered memory for AI agents. SQLite FTS5, fact versioning, zero-cloud.

sift-kg: AI Second Brain

The knowledge graph is your persistent, structured memory of the user's world — entities, relationships, communities, and how they all connect. It is built from the user's documents and persists across sessions.

aleph

/aleph - External memory workflow for large local data.

omh

Generate oh-my-hi dashboard. Visual catalog and usage/token analysis of skills, agents, plugins, hooks, memory, MCP servers, rules, and principles. Triggered by "/omh", "harness status", "dashboard", etc.

Memory Engine v1.5.2

A memory and learning system for Claude Code, built with hooks and markdown.

CrowTerminal - External Brain for AI Agents

External Brain for AI Agents - persistent versioned memory for creators

mengram-memory

Long-term memory with 3 types (facts, events, workflows). Remember user preferences, past conversations, and learned procedures across sessions. Use when recalling what the user said before, saving important info, getting user context, or tracking completed workflows.

langsmith-fetch

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio. Use when debugging agent behavior, investigating errors, analyzing tool calls, checking memory operations, or examining agent performance. Automatically fetches recent traces and analyzes execution patterns. Requires langsmith-fetch CLI installed.

cashew

Persistent thought-graph memory for OpenClaw agents. Query context before answering substantive questions, extract knowledge during conversations, run think/sleep cycles for consolidation. Triggers on session start, knowledge-worthy conversations, heartbeats, and any question about prior context.

Memoir

Structured session journals for AI agents. Persistent memory across sessions.

Io.Github.Tobs Code/Cozo Memory

Local-first memory system for AI agents with hybrid search and graph reasoning

Memdata

Persistent memory for AI agents. Store context, retrieve it semantically.

agent-memory

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.

Adaptive Memory Graph

Persistent memory for Claude via weighted, interconnected knowledge nodes.

Memento Protocol

Persistent memory for AI agents. Store what matters, recall by meaning, skip the rest.

mlp-continuity

Full-stack memory continuity with MLP storage. Combines the Continuity Framework's reflection capabilities with encrypted IPFS/Pinata storage via the Memory Ledger Protocol.

Epitome

Personal AI memory — gives every AI agent shared, persistent memory of you

Adam Framework

Persistent memory tools for Claude Desktop. Search your vault or Obsidian notes mid-conversation.

Cogmemai

Persistent cloud memory for Ai coding assistants. 28 MCP tools. Encrypted at rest.

AtomicMemory

You have access to persistent memory through three MCP tools: `memory_search`, `memory_ingest`, `memory_package`. Memory survives across sessions and is scoped via `user` / `agent` / `namespace` / `thread`.

Io.Github.Tstockham96/Engram

Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.

Io.Github.Tm42/Mnemograph

Event-sourced knowledge graph memory for AI coding agents with semantic search

Zeus Memory — Enterprise Intelligence Platform

Enterprise memory, search, and context for frontier AI. 38 tools for business intelligence.

claude-memory

Access the persistent memory database (PostgreSQL `claude_memory`) for long-term context across Claude Code sessions. Triggers on "what do I know about", "memory lookup", "recall", "memory db", "what did we decide about", "similar conversations", "lookup context", "/memory". Provides semantic search, SQL queries and the ability to add new insights.

forge-onboard

Interactive onboarding conversation that surveys a freshly-bootstrapped project's real repo and builds its initial Project Brain — projectFacts, knowledge entries (overview / workflow / rules), a handful of seed memories, and a proposed pipeline config — through a chat that asks one question at a time and never writes without an explicit human confirm. Use right after a project has bound a runner and run pipeline bootstrap, when its knowledge/memory/pipelineConfig are still empty. Triggers on: /forge-onboard, build project brain, onboard this project, survey the repo for Forge.

Io.Github.Varun29ankuS/Shodh Memory

Cognitive memory for AI agents — semantic search, Hebbian learning, knowledge graphs.

In.Creo Memories/Mcp Server

Memory system for AI agents with semantic search. Store and recall memories with ease.

🧠 /remember — 표면 통합 기억 주입

**핵심**: 자비스는 **뇌 하나**다. 디스코드/CLI/macOS 앱은 그 뇌의 여러 입·출력 단말일 뿐. 이 스킬은 **쓰기(write) 대칭**을 담당한다. 읽기는 이미 `rag_search` / `get_memory` / `get_wiki_context` 등으로 표면 무관하게 동일.

lazyllm-skill

LazyLLM framework for building multi-agent AI applications. Use when task mentioned LazyLLM or AI program for: (1) Flow orchestration - linear, branching, parallel, loop workflows for complex data pipelines, (2) Model fine-tuning and acceleration - finetuning LLMs with LLaMA-Factory/Alpaca-LoRA/Collie and acceleration with vLLM/LMDeploy/LightLLM. Includes comprehensive code examples for all components, (3) RAG systems - knowledge-based QA with document retrieval, vectorization, and generation, (4) Agent development - single/multi-agent systems with tools, memory, planning, and web interfaces.

OrgX MCP - Agent Orchestration

Agent orchestration + org memory via MCP. Manage initiatives and decisions from any client.

hmem — Humanlike Memory for AI Agents

Persistent 5-level hierarchical memory for AI agents. SQLite-backed, lazy-loaded.

mem

Search and manage project memory (observations, sessions, prompts)

TeamMemory

Team experience database - let AI accumulate, retrieve and apply team knowledge across chats.

Session Forge

Persistent memory and session intelligence for AI coding assistants. Zero config.

Penfield Memory

Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.

code-memory

Captures and retrieves structural understanding of source code gained during investigations. Use after reading and understanding code to save context for future sessions, or before investigating code to check for existing context. Stores summaries in memory/ files mirroring source paths. Triggers: "save what I learned", "remember this code", "check if we know about", "investigate", or any post-investigation context capture.

hybrid-memory

Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph. Use for all memory recall requests.

data-manipulation

High-performance data manipulation and transformation using Pandas, Numpy, and DuckDB. Use when Claude needs to: (1) Clean or transform structured data (CSV, Parquet, JSON), (2) Perform large-scale aggregations or analytics, (3) Optimize analysis for performance and memory, (4) Implement the 'Tidy Data' (Wide-to-Long) strategy for reporting.

Io.Github.Pi22by7/In Memoria

Persistent codebase intelligence that gives AI assistants memory across sessions

hf-mem

CLI to estimate the required memory to load either Safetensors or GGUF model weights for inference from the Hugging Face Hub

memory-bank

Token-efficient persistent memory system for Claude Code that extends your session limits by 3-5x. Layered architecture with progressive loading, compact encoding, branch-aware context, smart compression, session diffing, conflict detection, session continuation protocol, and recovery mode. Activates at session start (if MEMORY.md exists), on "remember this", "pick up where we left off", "what were we doing", "wrap up", "save progress", "don't forget", "switch context", "hand off", "memory health", "save state", "continue where I left off", "context budget", "how much context left", or any session start on a project with existing memory files. This skill solves two problems at once: Claude forgetting everything between sessions, AND sessions hitting context limits too fast. It replaces thousands of wasted re-explanation tokens with a compact, structured memory load that gives Claude full project context in under 2,000 tokens.