tencentdb-agent-memory
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.
Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
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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.
Internal phase — consolidate a contributor's L1 atoms into an L3 persona (11 dimensions). Invoked by contrib-profile / `/contrib build`.
Internal phase — extract L1 contributor atoms from a GitHub subject's raw activity. Invoked by contrib-profile / `/contrib ingest`.
Orchestrator for Contributor Intelligence. Trigger when the user pastes a GitHub profile/repo URL or handle and asks to profile, analyze, learn from, or study…
Internal phase — synthesize learnable playbooks, cross-engineer common capabilities, and you-vs-role-model comparisons from built personas. Invoked by…
Consolidate L1 memory atoms into L2 scene blocks and L3 persona. Invoked by the memory-consolidator agent, or manually via /memory-consolidate.
Extract L1 memory atoms from Claude Code conversation history. Run manually via /memory-seed.
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