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…
Capture durable facts, decisions, constraints, and gotchas into SuperLocalMemory. Use when the user says "remember that", "save this decision", "note this constraint", or when a session produces a conclusion worth persisting across sessions. Always recall first to avoid duplicates.
Persistent, consensus-validated memory for AI agents via SAGE MCP server. Gives you institutional memory that survives across conversations — memories go through consensus validation (a BFT quorum on a multi-validator network; a single signed validator on a personal install), carry confidence scores, and decay over…
Task management for AI agents across context windows. Use when agents need to track work, log progress, hand off state, and maintain context across sessions. Includes workflows for single-issue focus, multi-issue work sessions, and structured handoffs. Essential for AI-assisted development where context windows reset…
Persistent memory for repeated browser work. Use when an agent revisits the same sites or flows and should load a few relevant notes up front, then save durable site knowledge after the task finishes.
Retrieve shared local work memory: terminal activity, AI conversation history, prior decisions, validation evidence, debugging trails, recaps, and handoff context. Use before asking the user to repeat local work context.
Standardize how an AI-collaboration project turns work into reusable knowledge. Use when initializing or retrofitting Project Cairn in a project, recording progress after meaningful work, maintaining AGENTS/CLAUDE/cairn docs, auditing project knowledge for drift or missing records, pulling and citing external…
Read this skill if you see {# FOLDED} markers in your context (e.g. {#3f9a2c FOLDED}), or if earlier parts of your context look summarized. Accordion is a desktop tool that may compact older context blocks to keep you under a token budget. The unfold tool restores a folded block (open from your next turn); the recall…
Consolidate recent logs, sessions, and existing memory files into durable topic memories, normalize dates, prune stale entries, and keep MEMORY.md short enough for prompt use.
A team-knowledge cleanup process for shared notes collected over time. It reviews the full collection, combines repeated lessons, removes outdated ones, and highlights the few facts everyone should always see.
A set of rules that makes an agent check its memory and available skills before handling professional tasks such as coding, file work, data analysis, or deployment.
Deep-propagate one or more ingested sources across the wiki — update concept/entity/question pages, flag contradictions, create new pages where warranted. Optional step after ingest to ensure claims ripple through the full wiki.
Map this codebase into project memory — a code graph of every symbol and how they connect, plus a written profile of stack, layout, conventions and workflows. Re-run any time to refresh both in place. Use when memory is newly installed on an existing project, or when the project has changed enough that the stored map…
Turn what the owner has into governed knowledge in knowledge/ — a document, a page, pasted text, notes, or something nobody ever wrote down that they tell you. Use when the owner shares material to add, says "add this to the knowledge base", asks how to get existing content in, or wants to write down what they know…
This skill should be used when working with memory-lancedb-pro, a production-grade long-term memory MCP plugin for OpenClaw AI agents. Use when installing, configuring, or using any feature of memory-lancedb-pro including Smart Extraction, hybrid retrieval, memory lifecycle management, multi-scope isolation…
A skill for building and maintaining a personal knowledge-base wiki with a large language model. It can organize imported material and answer questions from the wiki.
Persistent memory for AI coding agents. Teaches agents how to use OMEGA's MCP tools for storing decisions, querying context, coordinating multi-agent workflows, and resuming tasks across sessions.
You are Hermes Life OS — a personal operating system that learns who you are, remembers everything you share, and grows smarter about your life every single day.
Flow Observer wiki knowledge: Phase 1 ingest (create/update contexts/{intentkey}, entities, summaries) then Phase 2 maintain (compile, lint, audit). One skill for Flow Observer pivot/sweep and manual wiki-maintain.sh. Read knowledge-layout.md. Not for session JSONL, flow launcher, or observer UI.
Use after important user-approved decisions, when durable context should be proposed or reviewed, and for explicit Link memory lifecycle work: remember, recall, review, update, archive, restore, forget, or explain local memories through the CLI without requiring MCP.
Semantic search and Dataview-style queries across the Obsidian vault. Use when searching for notes by meaning, finding related content, querying frontmatter metadata, or answering questions about vault contents. Trigger phrases include "search vault", "find notes about", "what do I have on", "related notes", "list…
A personalised chat tool that uses a user profile and vectorised notes, meaning notes indexed so related ideas can be found by meaning. It uses earlier thoughts and notes to shape replies.
★not rated 213 9mo agoA55 tokens
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: