Full-PostgreSQL deployment toolkit for TencentDB Agent Memory — storage + skill + metadata planes, no SQLite (pgvector + tsvector)
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Updated
Oct 8, 2026 - TypeScript
Full-PostgreSQL deployment toolkit for TencentDB Agent Memory — storage + skill + metadata planes, no SQLite (pgvector + tsvector)
Hermes Agent ContextEngine plugin — multi-layer context compression via TencentDB Gateway offload V2 API. Feature-complete alignment with official OpenClaw implementation.
DeepSeek Harness embedded read-only viewer for TencentDB Agent Memory's four-layer local memory
Kimi Code plugin for TencentDB Agent Memory (TDAI): auto recall (L1/L2/L3/L0) + sanitized capture + memory/skill/wiki MCP tools
TencentDB Agent Memory is a team-level memory hub for AI Agents — turning conversations, docs, and code into four reusable memory assets (Chat Memory, Skill, LLM-Wiki, Code-Graph) that are governed, shared, and equipped across agents and frameworks.
Direct TencentDB Agent Memory integration for Google Antigravity using native hooks and MCP. No model proxy.
Local-first memory plane for Codex, Cursor, Pi and Hermes — shared L1/L2/L3 without changing models, subscriptions or authentication.
TencentDB Agent Memory Hub Injector — feed your AI memory hub with zero effort. Uploads screenshots, documents, directories, and repo URLs as searchable wiki pages, skills, memory notes, and code graphs.
To associate your repository with the tencentdb topic, visit your repo's landing page and select "manage topics."