Four-layer long-term memory (L0 Conversation → L1 Atom → L2 Scene → L3 Persona) for Claude Code, inspired by Tencent/TencentDB-Agent-Memory. Fully local, no external Gateway, no paid API, no Python.
@baodq97Internal phase — consolidate a contributor's L1 atoms into an L3 persona (11 dimensions). Invoked by contrib-profile / `/contrib…
@baodq97Internal phase — extract L1 contributor atoms from a GitHub subject's raw activity. Invoked by contrib-profile / `/contrib…
@baodq97Orchestrator for Contributor Intelligence. Trigger when the user pastes a GitHub profile/repo URL or handle and asks to profile,…
@baodq97Internal phase — synthesize learnable playbooks, cross-engineer common capabilities, and you-vs-role-model comparisons from built…
@baodq97Consolidate L1 memory atoms into L2 scene blocks and L3 persona. Invoked by the memory-consolidator agent, or manually via…
@baodq97Extract L1 memory atoms from Claude Code conversation history. Run manually via /memory-seed.
@baodq97Open the memory visualiser in the browser — a health check on the memory store: is it working, what is wrong, and what to run to…
@baodq97Inspect/manage the local memory store via the tmem CLI — counts, keyword/hybrid search, view persona, list/open scenes (tmem…
@baodq97Use this agent ONLY when a human has just run /memory-seed and the new L1 atoms need folding into scenes and persona. Automatic…
@baodq97Profile how top GitHub contributors work — ingest, build personas, and synthesise a capability model + learnable playbook.
@baodq97Initialize local memory store + vector index for this project.
@baodq97Is this you? Claim your profilePut a plugin at the top of Plugins, from $9
