25 tagged memory-layer-for-ai, measured the same way as everything else here.
Browse within: memory-layer 25open-brain 24open-source 24
Skill Claude CodeCodex
Continuous learning system that extracts reusable knowledge from work sessions. Triggers: (1) /aiception command, (2) 'save this as a skill' or 'extract a skill from this', (3) 'what did we learn?', (4) after non-obvious debugging or trial-and-error discovery. Creates new skills when valuable reusable knowledge is…
Skill Claude CodeCodex
Use when processing voice transcripts, brain dumps, stream-of-consciousness notes, or any raw multi-topic capture. Extracts every idea thread, then evaluates each one with deep brainstorming, then captures results to Open Brain. Trigger on transcripts, exports, "process this", "pan for gold", "brain dump", "what did I…
Skill Claude CodeCodex
Conversation-first workflow for turning tacit work patterns into a structured operating model. Use when the user wants to map how their work actually runs, generate USER.md / SOUL.md / HEARTBEAT.md artifacts, or build an agent-ready model of rhythms, recurring decisions, dependencies, institutional knowledge, and…
Skill Claude CodeCodex
Use when working in a repository that uses Mneno for local project memory through the CLI, including task-start context recovery, narrow memory search, and storing durable project facts before stopping work.