memory-init
CommandInitialize local memory store + vector index for this project.
Profile how top GitHub contributors work — ingest, build personas, and synthesise a capability model + learnable playbook.
> /plugin marketplace add baodq97/tencentdb-agent-memory> /plugin install tencentdb-agent-memory@tencentdb-agent-memory
description: Profile how top GitHub contributors work — ingest, build personas, and synthesise a capability model + learnable playbook.
Contributor intelligence. Subjects are declared in `<global>/contributors/subjects.json`; all data lives in `<global>/contributors/index.db` (never the self-memory DB).
(invokes the **contrib-ingest** skill). Omit id to ingest all subjects. Incremental by default (only activity since the last sync); pass `--full` to refetch everything.
**contrib-consolidate**).
**contrib-synthesize**).
the role model against your *existing* self-persona (`tmem persona`, built from your own history) — no need to ingest yourself from GitHub.
*profiled contributors* (peer/team).
without this; vector recall needs it + the embed daemon).
atoms (FTS-only if the embed daemon is down).
(measures cadence/style, not PR LOC).
group subjects and synthesise a team-level capability model.
role models — you don't have to be one of them).
from your own history) — you don't ingest your own GitHub.
Routing: subcommands that need judgment map to a skill — `ingest`/`build` → contrib-ingest/contrib-consolidate; `playbook`, `compare <id>` (single, you-vs- role-model), and the L4 narration of `capabilities` → contrib-synthesize. The deterministic subcommands — `add`, `persona`, `capabilities` (raw numbers), `compare <a> <b>` (two-contributor table), `trajectory`, `team`, `search` — call the matching `tmem contrib …` CLI directly.
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.
Initialize local memory store + vector index for this project.
Implement tasks incrementally — build, test, verify, commit. Add "auto" to run the whole plan in one approved pass.