Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Structured memory system for AI agents. Use when the user wants to store, recall, or search memories, manage session lifecycle (wake/sleep/checkpoint), sync...
Structured memory system for AI agents. Use when the user wants to store, recall, or search memories, manage session lifecycle (wake/sleep/checkpoint), sync...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Set the vault path so all commands work: export MEMORIA_VAULT=~/memory If not set, pass -v ~/memory on every command.
Run at the start and end of every session: memoria wake # start session, restore context memoria checkpoint --working-on "<task>" # mid-session save memoria sleep "<summary>" --next "<next steps>" # end session, write handoff
memoria remember <type> "<title>" --content "<details>" memoria sync --push # always sync after storing Types: fact, decision, preference, lesson, commitment, relationship, project
SignalTypeHuman shares personal info (name, location, health, settings)factA decision is made with reasoningdecisionHuman says "I prefer / always / never..."preferenceAn insight or lesson emergeslessonA promise, goal, or deadline is setcommitmentA person is mentioned with contextrelationshipAn ongoing project is discussedproject If in doubt, store it. Better to have a memory you never look up than to forget something.
Listen for these patterns and store immediately: "I always...", "I never...", "I prefer..." -> preference "Let's go with...", "We decided...", "The plan is..." -> decision "I learned that...", "Turns out...", "The trick is..." -> lesson "My name is...", "I take...", "I live in...", "I work at..." -> fact "I need to...", "I promised...", "By next week..." -> commitment "Talk to Alice about...", "Bob said..." -> relationship "We're building...", "The project is..." -> project
memoria remember fact "Human lives in Tokyo" --content "Mentioned during onboarding" memoria remember preference "No emojis in code" --content "Explicitly requested" memoria remember decision "Use Fly.io" --content "Chosen over Vercel for APAC latency" memoria sync --push
Before making decisions or giving advice, check existing memories: memoria search "<query>"
memoria store <category> "<title>" --content "<body>" # store in explicit category memoria list [category] # list documents memoria get <id> # get specific document memoria status # vault stats + session state memoria sync --pull # pull Notion changes to local
One-time configuration: memoria setup-notion --token <token> --page <page-id> After setup, always run memoria sync --push after storing memories.
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Largest current source with strong distribution and engagement signals.