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.
OpenFDA Safety Data
Search FDA safety data: drug adverse events, recalls, and device events.
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.
Memento Protocol
Persistent memory for AI agents. Store what matters, recall by meaning, skip the rest.
Io.Github.Tstockham96/Engram
Intelligent agent memory with automatic extraction, consolidation, and bi-temporal recall.
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.
In.Creo Memories/Mcp Server
Memory system for AI agents with semantic search. Store and recall memories with ease.
hybrid-memory
Hybrid memory strategy combining OpenClaw's built-in QMD vector memory with Graphiti temporal knowledge graph. Use for all memory recall requests.
Io.Github.Purmemo Ai/Purmemo
AI memory across Claude, ChatGPT, Gemini, and Cursor. Save, search, and recall context everywhere.
autonomous-lesson-learning
Autonomous loop that learns while it runs: recalls stored lessons before each iteration, saves new lessons on failures and wins, and reinforces known lessons instead of repeating mistakes. Orchestrates continuous-agent-loop patterns with the egc-memory lesson tools.
Io.Github.Kira Autonoma/Agent Memory Mcp
Agent memory MCP server with provenance tracking, decay-weighted recall, and feedback loops.
memx
Use when an agent needs to recall, save, inspect, or audit memX memories through the bundled MCP tools.
Agent Memory Management
Memory system with automatic decay, tiered search, and creative recall. Works with any directory of markdown files.
codemem
Recall persistent project memory and prior session context from CodeMem in Codex.
FDA Data MCP
Clean FDA regulatory data: company resolution, facilities, recalls, inspections, approvals.
update-recall-homebrew-tap
Project-specific Recall release workflow. Use after a new samzong/Recall release is published to update samzong/homebrew-tap Formula/recall.rb to the current Cargo.toml version, refresh release asset SHA256 values, push a branch, and open a Homebrew tap PR.
Io.Github.Mnemox Ai/Tradememory Protocol
MCP memory for AI trading agents. Store trades, recall similar setups, track strategy performance.
memory-manage
Manage agent memory stored as files. Record, recall, search, update, and analyze memory content. Supports exploratory analysis for building context before complex tasks.
graft-init â Configure graft behavior in CLAUDE.md
This skill writes a short, opinionated instruction block into a CLAUDE.md so future sessions automatically use the graft skills (`recall`, `memoryze`, `learn`, `memory-audit`) according to the user's preferences. The block is fenced with HTML markers so re-running the skill cleanly replaces it.
self-learning-skills
Memory sidecar for agent work: recall before tasks, record learnings after tasks, review recommendations, optional backport bundles.
Io.Github.NeerajG03/Vector Memory
Semantic document memory using Redis vector store. Save and recall files with natural language.
Io.Github.VelixarAi/Memory
Persistent memory for AI assistants. Store, search, and recall across sessions.
DeepRecall - Product Safety Intelligence
Search 120,000+ recalled products from 8 global safety agencies using AI similarity.
total-recall
The only memory skill that watches on its own. No database. No vectors. No manual saves. Just an LLM observer that compresses your conversations into prioritised notes, consolidates when they grow, and recovers anything missed. Five layers of redundancy, zero maintenance. ~$0.00/month (using free-tier models). While other memory skills ask you to remember to remember, this one just pays attention.
oak
Find out what happened, what was decided, and what depends on what in your codebase. Use this skill whenever you need to: recall past decisions or discussions ("what did we decide about X?"), check what might break before refactoring ("what depends on this module?"), find conceptually similar code that grep would miss ("all the retry/backoff logic"), look up past bugs, gotchas, or learnings, query session history or agent run costs, store observations about the codebase, or understand how components connect end-to-end. Powered by semantic search, memory lookup, and direct SQL against the Oak CI database (.oak/ci/activities.db). Also use when the user mentions oak_search, oak_context, oak_remember, oak_resolve_memory, or asks to run queries against activities.db or oak.
chatcrystal-debug-recall
Recall ChatCrystal memories for debugging tasks involving failing tests, compiler errors, runtime exceptions, dependency issues, environment breakage, or performance regressions. Use when historical root causes, fixes, or pitfalls may accelerate diagnosis before proposing a fix.
entwurf-dev
Drive the current entwurf development surface for GLG: list garden citizens, open a fresh visible Pi or Claude Code sibling, correlate its nonce callback to the exact garden id, send/reply through entwurf_v2, reopen a dormant pi citizen under its own garden id with entwurf_resume_call, and walk the whole freshâsendâcloseâdormantâresumeârecall lifecycle on the visible tmux surface without making GLG spell out tool calls. Use when GLG says ë¶ì ì´ì´, ì íì , ë¤ì ë¶ë¬, ëì´ë ¤, resume, entwurf ì¨ë³´ì, í¼ì´ ë³´ì¬ì¤, ë©ìì§ ë³´ë´, callback íì¸, ê°ë° í¬ì´, or /skill:entwurf-dev.
Goldhold
Persistent memory for AI agents. Search, store, and recall across sessions.
answer-reviewer-questions
For each reviewer question on a PR, recall implementation reasoning and compose a raw answer. Use when the user asks to "answer reviewer questions", "draft answers to PR questions", or "explain reviewer questions".
engram
Local-first personal AI identity and memory layer for MCP-compatible coding tools (Claude Code, Codex, Cursor, and others). Use this skill when the user wants to continue from a previous session ("continue from last session", "pick up where we left off"), recall a past decision ("what did we decide", "what was our reasoning"), persist something durable ("remember this", "save a lesson", "save a decision", "save a playbook"), search prior knowledge ("search what we know about X", "have we hit this before"), export their identity or context ("export my identity card", "give me my context"), or maintain local-first cross-tool identity and memory that the user owns and approves. Engram stores user-approved lessons, decisions, playbooks, and project context as local JSON; the AI suggests, the user decides what becomes permanent.
distilly
Build and use evidence-grounded local person profiles with Distilly's exact five-tool workflow. Use when a user asks to research, ingest, distill, update, correct, retrieve, or recall a real or fictional person's profile, voice, boundaries, or evidence.
using-demo
Recall project context.
Claude Cortex â Memory System
You have access to a persistent memory system via MCP tools (`remember`, `recall`, `get_context`, `forget`).
Neural Memory
Persistent memory for AI agents â stores experiences as interconnected neurons, recalls through spreading activation.
Io.Github.SecurityRonin/Alaya Mcp
Local memory engine for AI agents with knowledge graphs, forgetting, and semantic recall
memory-workflow
Use when you need to recall past work, previous decisions, error solutions, or project history. Activates the 3-layer memory search workflow for token-efficient retrieval.
Io.Github.Archetypal Ai/Archetypal Ai
Persistent memory for AI agents. recall, remember, checkpoint — soul preservation.
Io.Github.AlekseiMarchenko/Central Intelligence
Persistent memory for AI agents. Store, recall, and share knowledge across sessions.
Memphora
Add persistent memory to AI assistants. Store and recall info across conversations.
memory-review
Interactive review of all memory/ files â keep, update, deprecate, or delete entries one by one. Use when the user wants to audit and prune accumulated memory â 'review my memory', 'clean up what you remember'. Do NOT use for: teaching a new fact (use learn), recalling something specific (read memory directly), or batch-promoting session insights (use recap).
Carsxe Mcp
MCP server for CarsXE vehicle data: VIN, specs, history, images, recalls, and OBD codes.