Teaches agents to check before they guess. Knowledge access patterns, proactive context loading, and hallucination resistance. Install before taking the Know...

Indexed by skills.sh from parcadei/continuous-claude-v3

Searchable conversation memory that survives context compaction. Indexes session transcripts into SQLite with full-text and semantic search so your agent can...

Draft SOAP clinical notes, generate Medicare MBS item number reference tables, write patient recall SMS and email templates, and produce GP report letters fo...

Local RAG memory system for AI agents using ChromaDB and SkillBoss API Hub embeddings, enabling context recall, continuous learning, and multi-agent shared m...

Recall.ai (recall.ai). Use this skill for ANY Recall.ai request — reading, creating, updating, and deleting data. Whenever a task involves Recall.ai, use thi...

Recall user memories from the Notion Memory Store. Trigger PROACTIVELY at the beginning of conversations where knowing the user's background, preferences, pa...

A skill to bring the agent back to 'being' instead of 'doing'. Not a function, a reminder to pause and return to the present moment.

Local memory search for OpenClaw agents. Runs a lightweight Node.js server that indexes all files in ~/clawd/memory/ plus MEMORY.md and WORKING.md, then expo...

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

Recover conversation context when a message arrives with unclear meaning. Use when a user's message lacks context (e.g. "I logged in" with no prior mention o...

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 priorit...

Cross-group memory, search, and event sharing for OpenClaw Feishu agents

Indexed by skills.sh from parcadei/continuous-claude-v3

Pure-Python recursive memory recall for persistent AI agents. Manager→workers→synthesis RLM loop — no Deno, no fast-rlm, just HTTP calls to any OpenAI-compat...

Persistent compounding memory for AI agents. 6 MCP tools: session_start, remember, recall, session_end, check, digest. Correction-first memory with watch_for...

Amber-Hunter is a local AI memory engine that encrypts, stores, and summarizes OpenClaw/Claude sessions and files for instant recall and optional cloud sync.

Persistent memory across sessions. Remember facts, recall them later with semantic search, and share knowledge between agents. Use when you need to store inf...

Persistent long-term memory powered by knowledge graphs, ACT-R activation, and 15-phase consolidation. Remember conversations across sessions, recall relevan...

Run Kannaka's memory operations on real quantum hardware. Use for quantum circuits, true quantum random numbers, and resonance recall as amplitude amplificat...

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

Total recall, 90% fewer tokens. Open source OpenClaw memory plugin — 5-engine local search, structured fact extraction, smart dedup, cross-agent sharing, and...

Three-layer persistent memory system (Markdown + ChromaDB vectors + NetworkX knowledge graph) for long-term agent recall across sessions. One-command setup w...

Product recall & FDA safety data for AI agents — track FDA drug recalls, medical device recalls, 510(k) clearances, and drug labels by company or keyword. Us...

Persistent memory engine for AI agents with semantic recall, hotness prioritization, importance weighting, time decay, and auto-compaction. Zero external dep...

Maintains and transfers context across sessions, models, and time to avoid repeating information on every new interaction or model switch.

Logs all OpenClaw conversations and events with role tags, saving to JSONL and Memvid for full context search and monthly sharded or single-file storage.

Independent skill for Cortex Memory operations in OpenClaw. Use when users ask for cross-session memory continuity, prior decisions, preferences, relationshi...

Provides persistent two-tier memory with semantic fact search and raw content retrieval, plus automatic cleanup of temporary session files.

AI Memory System with LLM Wiki

Build and drill spaced-repetition packs with recallit — turn a PDF, URL, repo, or plain concept into honest, source-grounded flashcards, then run the daily r...

Use SwarmRecall when an AI agent needs persistent memory, a knowledge graph, learnings, a skill registry, shared pools, or background dream consolidation acr...

Agent dreaming — memory consolidation, deduplication, pruning, contradiction resolution, and session summarization via the SwarmRecall API. Enables agents to...

Knowledge graph with entities, relations, traversal, and semantic search via the SwarmRecall API. Build and query structured knowledge graphs with vector emb...

Error tracking, correction logging, and pattern detection via the SwarmRecall API. Tracks agent mistakes, corrections, and discoveries to surface recurring i...

Conversational memory persistence with semantic search and session tracking via the SwarmRecall API. Stores and retrieves agent memories with vector embeddin...

Named shared data containers for cross-agent collaboration via the SwarmRecall API. Manage shared pools that let multiple agents contribute to and query from...

Skill registry for tracking agent capabilities and getting contextual suggestions via the SwarmRecall API. Register, list, and query installed skills with se...

Heartbeat-Memories (HBM) - A fully local long-term memory system for OpenClaw. Features five memory banks (Goals/Experience/Emotions/Session/Version) + heart...

AI Virtual Memory enables multi-agent shared semantic memory with token-aware recall, topic indexing, lifecycle management, and decentralized discovery using...

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

Persistent memory system for AI agents to remember facts, learn from experience, and track entities across sessions with easy recall and updates.

Persistent memory system for AI agents to remember facts, learn from experiences, recall memories, and track entities across sessions.

Give your OpenClaw agent persistent, cross-session memory via AgentPrizm — recall durable facts, decisions, preferences, lessons, and contacts before acting,...

Proactively use AgentLoop Recall to retrieve prior Alibaba Cloud AgentLoop experience through the bundled SearchContext CLI whenever the user asks or implies...

Local-first memory and continuity for OpenClaw — better recall, resumption, correction-aware memory, open-loop tracking, and provenance-backed context.

Integrates the Playfilo shared-memory DAG into the pi-mono coding agent. Adds DAG persistence, time-travel tools (tobe, life, recall, trace), and cross-sessi...

Recall and write workspace memory for OpenClaw agents using MEMORY.md, memory/YYYY-MM-DD.md, memory_search, and memory_get. Use when the user asks about prio...

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

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

Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency.

Recall and store persistent memories in the user's brain (~/.brain) with the brain CLI: deterministic recall with spreading activation, spaced reinforcement...

Long-term memory via ChromaDB with local Ollama embeddings. Auto-recall injects relevant context every turn. No cloud APIs required — fully self-hosted.

Automatically store explicit durable user facts and recall them later; do not infer or upgrade weak signals

Recall what the user copied on this Mac via the local clipmem archive — text, commands, URLs, file paths, HTML, images, PDFs. Triggers on requests like "what...

Stash and recall short text snippets in a local file-backed clipboard. Use when the user wants to save a quick note or quote ("记一下"/"先放着"/"待会儿用") and retriev...

MCP server for Clude's 4-tier cognitive memory system — store, recall, search, and dream. Built on Supabase + pgvector with type-specific decay, Hebbian asso...

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…

Intelligent multi-store memory system with human-like encoding, consolidation, decay, and recall. Use when setting up agent memory, configuring remember/forg...

Automatically syncs and maintains detailed conversation logs and activity digests across agent sessions for persistent memory and context recall.

Persistent memory for AI agents by Sigma Labs. Knowledge graph, hybrid search, entity tracking, and structured recall across sessions. File-based, git-tracke...

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

Use this skill when a PR, comms, or executive team must publish a holding statement within the first hour of a crisis — breach, outage, recall, safety incide...

Persistent memory system for AI agents to remember facts, learn from experience, track entities, and recall context across sessions.

Save, search, fetch, and traverse the user's Ditto memory graph. Use whenever the user references "remember", "recall", "what did I", "from my notes", or ask...

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…

Install, update, and monitor E.x.O. tools like jasper-recall and hopeIDS, manage OpenClaw plugins, and perform health checks with a single command.

AI-powered flashcards and audio podcasts for active recall.

Persistent semantic memory for AI agents — local, fast, free. Use when agent needs to recall past decisions, store new facts/preferences, search conversation history, or maintain context across sessions.

Persistent semantic memory for AI agents. Store, search, recall, and forget memories across sessions using Qdrant + FastEmbed.

Neuroscience-grounded memory for AI agents. Add, recall, and manage memories with ACT-R activation, Hebbian learning, and cognitive consolidation.

EverMemory for OpenClaw and ClawHub. Use this skill when users ask to remember, recall, inspect memory state, manage preferences or profile, generate briefin...

Automatic failure pattern recording and recall system. Prevents repeating the same mistakes by logging errors with context, root cause, and resolution. Use w...

The 6 core workflows every OpenClaw agent uses every day — recall, spawn, schedule, research, delegate, monitor-update. A pattern reference for building reli...

Persistent memory for OpenClaw agents. Exact recall in milliseconds - your agent remembers everything across sessions.

Production playbook for OpenClaw graph-memory optimization with mem0-aligned recall governance. Use when users ask to (1) summarize current graph-memory stat...

Draft patient-facing communications (appointment reminders, billing notices, follow-ups, recall messages) that avoid HIPAA violations. Flags risky language,...

Persistent cross-session memory for your agent, powered by HMR (Hestia Memory Runtime). Save important facts and preferences, recall relevant context, and re...

Scalable memory architecture with hybrid topic-based working memory and optional time-based episodic recall. Provides structured MEMORY.md routing table, top...

Retrieve existing context before building anything. Self-triggering — fires whenever the agent is about to search the codebase, recall prior decisions, look...

Provides persistent, wallet-authenticated semantic memory storage, recall, reputation tracking, shared pools, and time-travel snapshots for autonomous agents.

Trigger for cold-memory recall and archive work under memory/cold/. Use only for explicit requests about older low-frequency context, historical continuity,...

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...

Long-term memory plugin for OpenClaw: automatic recall, storage, and agent tools

Hybrid memory strategy combining OpenClaw's built-in vector memory with Graphiti temporal knowledge graph. Use when you need to recall past context, answer temporal questions ("when did X happen?"), or search memory files. Provides decision framework for when to use memory_sea…

Your agent loses context between sessions and performs familiarity instead of genuine recall. inner-life-memory transforms passive logging into active develo...

Kannaka HRM wave-interference memory + NATS swarm. Use for `/kannaka <command>` — remember/recall/dream memory ops, swarm sync, consciousness metrics, and th...

Add a knowledge graph layer to an AI agent for relationship reasoning and multi-hop recall. Use when agents need to answer "who works with whom", "what's con...

LYRA 3-Brain memory — working/library/outer graph, daily snips, session logging, grow/recall/heartbeat. Use after LYGO/Moltx/OpenClaw work; integrates LYRA_C...

Structure and track learning with spaced repetition and active recall across any domain.

Use Lethe persistent memory for startup orientation, recall, logging, flags, and session compaction.

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

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

Persistent, explainable memory for your OpenClaw agent — store facts and recall them later via the hosted Engram MCP server (by Lumetra).

Help users manage cross-device AI memory. When user explicitly asks to save or recall information, sync it to their cloud memory account. Categorizes saved c...

Local full-text search for OpenClaw memory recall using MeiliSearch. Self-hosted.

Recall memories from MemOS Cloud before responding. Use this skill when you need context about user's previous conversations, preferences, or decisions.

Privacy-first, self-hosted chat memory for OpenClaw — save and recall conversation history across sessions without any cloud dependency.

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 add...