Use durable, explainable, self-improving memory across a coding session via the velesdb-memory MCP server. Trigger whenever the velesdb-memory MCP tools (remember/recall/recallfused/relate/why/feedback/forget/rememberextracted/extractionstatus/entity/memorystatus) are available and the work would benefit from…
Walrus Memory SDK — portable agent memory that works across apps, sessions, and workflows. Use when users say: "add memory to my app" "portable agent memory" "integrate Walrus Memory" "AI agent memory" "memory across agents" "Walrus memory storage" "setup Walrus Memory" "recall memories".
Curador del conocimiento local de un proyecto bajo bucle ralph. Mantiene un conjunto de skills locales (metodologías, pitfalls y decisiones del proyecto) para que futuras iteraciones planifiquen y ejecuten sin dar palos de ciego. Su acción review lee el plan y los logs tras una tarea y crea, extiende o borra esas…
Extract and update personal memories from Vaultr notes into structured memory files. Use when the user wants to update their personal memory, extract memories from notes, run memory extraction, or refresh the personal memory base. Triggers on phrases like 'update my memory', 'extract memories from notes', 'run memory…
Set up and maintain a structured project memory system in docs/projectnotes/ that tracks bugs with solutions, architectural decisions, key project facts, and work history. Use this skill when asked to "set up project memory", "track our decisions", "log a bug fix", "update project memory", or "initialize memory…
A design for running persistent specialist agents, commands, scripts, and file-based memory inside Codex. It keeps the setup in project files so it can continue across sessions.
Query and publish to an OpenLore knowledge base over SSH using ordinary shell commands. Use when a task needs project documentation, runbooks, shared team knowledge, or a place to publish findings.
Use Helixir persistent graph memory through its MCP tools. Invoke at the start of non-trivial work, after context compaction, when recalling past decisions, when storing durable outcomes, when tracing why facts are connected, and when using FastThink or Helixir RBAC.
Use when Hermes needs staged self-improvement, explicit reviewable artifacts, or safe apply/discard workflows for memory, user, skill, or fact updates.
Persistent graph-based memory for AI agents via KIP (Knowledge Interaction Protocol). Provides retrieval-first memory operations (KQL), durable writes (KML), schema discovery (META), and memory hygiene patterns. Use whenever the agent needs to consult or update persistent memory, especially for: remembering user…
Consolidate raw captures into durable entity/topic pages (Axis 1, Track C): review recent meetings / daily / transcripts and PROMOTE their substance into the higher-order wiki — create the page for a person mentioned but never filed, refresh a topic page a fresher note left behind, weave the backlinks. A deterministic…
A five-layer method for turning experiences into lasting knowledge and personal principles. It is triggered by requests to summarise lessons, identify patterns, or form rules.
Memory hygiene audit -- finds stale facts, contradictions, low-confidence entries, and consolidation candidates in Pensyve memory. Use periodically to maintain memory quality.
Manage, search, organize, and maintain Obsidian vaults integrated with Claude Code and Cowork. Use this skill whenever the user mentions Obsidian, vault, notes, daily journal, meeting notes, knowledge base, brain dump, note-taking, or wants to capture/organize/search/review their personal or work notes. Also trigger…
Guide agents on effective use of AMFS persistent memory — when to save, what to save, cost-conscious patterns, and session lifecycle. Use when agents interact with AMFS tools, persist knowledge, write memories, read briefings, or commit decision traces.
An offline knowledge manager based on PARA, a way to organize information into Projects, Areas, Resources, and Archives. It organizes notes, searches them by meaning, and combines related information on the user's device.
AI session compression techniques for managing multi-turn conversations efficiently through summarization, embedding-based retrieval, and intelligent context management.
Mine past agent sessions for working prompts, decisions, and patterns. Use when "what did I ask?", "find that prompt", session archaeology, or agent history.
Feed new content into the owner's central mind (this brain repo) — the ONLY way anything gets written into the brain. Use this whenever the owner says "feed this into my brain", "add this to my mind", "update my mind", "save this to the brain", or provides any new source to be remembered — a video, transcript, blog…
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: