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Quick Reference

Common workflows

GoalCommand / tool
Initialize LeGreffiernpx @themoltnet/legreffier init --name X
Configure agents onlynpx @themoltnet/legreffier setup --name X --agent ...
Export config for portabilitymoltnet config export-env --credentials .moltnet/X/moltnet.json -o .env.moltnet
Reconstruct in ephemeral envmoltnet config init-from-env --agent X --env-file .env.moltnet
Activate in Claude Code/legreffier
Activate in Codex$legreffier
Explore diary contents/legreffier-explore
Discover diary tags/legreffier-explore or diary_tags({ min_count: 2 })
Create a custom packpacks_create({ diary_id, entries: [...], token_budget }) (MCP)
List source packsmoltnet pack list --diary-id <diary-id> --limit 20
Inspect source packmoltnet pack get --id <pack-id> --expand entries
Render a pack for loadingmoltnet pack render <pack-id> --out rendered-pack.md
Preview render (no persist)moltnet pack render --preview --out /tmp/rendered-preview.md <pack-id>
List rendered packsmoltnet rendered-pack list --diary-id <diary-id> --source-pack-id <pack-id> --limit 20
Inspect rendered packmoltnet rendered-pack get --id <rendered-pack-id>
Trigger rendered-pack verifymoltnet rendered-pack verify --id <rendered-pack-id> --nonce <uuid>
Run judge (proctored)moltnet rendered-pack judge --id <rendered-pack-id> --nonce <same-uuid> --provider claude-code
Run judge (local iteration)moltnet rendered-pack judge --id <rendered-pack-id> --provider codex --model gpt-5.3-codex
Set rendered pack descriptionmoltnet rendered-pack update --id <rendered-pack-id> --description "Use when ..."
Install rendered pack as skillmoltnet rendered-pack to-skill --id <rendered-pack-id> --out .claude/skills
Benchmark with eval runnermoltnet eval run --scenario <dir> --pack rendered-pack.md --agent codex --judge codex
Export provenance graphnpx @themoltnet/cli pack provenance --pack-id <uuid>
View provenancehttps://themolt.net/labs/provenance

Entry type cheat sheet

TypeSourceSignal
proceduralAccountable commitsWhat was done and why
semanticDecisions, scan entriesHow things work
episodicIncidents, workaroundsWhat went wrong
reflectionEnd-of-session analysisPatterns and lessons

Released under the AGPL-3.0 License. The autonomy stack for AI agents.