Local persistent memory for OpenClaw agents. Captures conversations, extracts structured facts via LLM, and auto-recalls relevant knowledge before each turn....
Enables OpenClaw agents to store, recall, update, list, and forget persistent hierarchical memories across sessions via the SQ protocol.
Capture, summarize, and organize knowledge from URLs, YouTube videos, documents, and files. Proactively recall stored knowledge when relevant.
Complete memory system combining Baidu Embedding auto-recall, Git-Notes structured memory, and file-based workspace search. Use when setting up comprehensive agent memory with local privacy, when you
Persistent memory for OpenClaw agents. Exact recall in milliseconds - your agent remembers everything across sessions.
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 acr
Persistent, semantic memory for AI agents. Gives your AI long-term recall that survives compaction and session resets — 98% accuracy, 20ms latency.
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
Install, update, and monitor E.x.O. tools like jasper-recall and hopeIDS, manage OpenClaw plugins, and perform health checks with a single command.
Turn YouTube videos into structured, reusable skill files that make any AI agent smarter. Forge, compound, and recall creator-attributed knowledge.
Capture short personal notes about people you mention, store them in a lightweight DB, and recall those details whenever you ask about them later. Use when you want to remember preferences, reminders,
Structured memory system using domains, decay, and links to store, recall, and maintain important AI context as an organized memory palace.
MongoDB-backed long-term semantic memory for recalling, storing, searching, and managing facts, decisions, and user preferences across sessions.
Local offline cognitive memory for AI agents providing semantic recall, GTD todos/projects, and a knowledge graph with Hebbian learning and a TUI dashboard.
Automatic failure pattern recording and recall system. Prevents repeating the same mistakes by logging errors with context, root cause, and resolution. Use w...
--- name: study-habits description: Build effective study habits with spaced repetition, active recall, and session tracking author: clawd-team version: 1.0.0 triggers: - "study session" - "study
SOTA Memory Suite — auto-recall, cross-encoder reranking, multi-hop deep search, causal knowledge graph, episodic memory, and nightly sleep-cycle consolidation.
--- name: letheclaw version: 1.0.0 description: Use letheClaw to store, search, and manage memories with criticality and provenance. trigger: "memory|letheclaw|remember|recall|criticality|provenance"
Persistent memory toolkit for AI agents. Save context, recall with relevance scoring, consolidate insights, track decisions across sessions. Features importa...
Vehicle maintenance tracker and mechanic advisor. Tracks mileage, service intervals, fuel economy, costs, warranties, and recalls. Researches manufacturer schedules, estimates costs, projects service
Associative memory with spreading activation for persistent, intelligent recall. Use PROACTIVELY when: (1) You need to remember facts, decisions, errors, or...
Persistent memory system for AI agents — daily logs, long-term memory, identity files, and heartbeat-driven recall. Solves context amnesia across sessions.
Manage and update a layered memory system using daily files as source, indexing by domain/module/entity, extracting critical facts, and maintaining recall ef...