This is the Linux app named TencentDB Agent Memory whose latest release can be downloaded as v0.3.6sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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SCREENSHOTS:
TencentDB Agent Memory
DESCRIPTION:
TencentDB Agent Memory is a local long-term memory system for AI agents. It uses symbolic short-term memory and layered long-term memory instead of storing everything as flat vector fragments. For active tasks, it offloads heavy logs into external files and keeps a compact Mermaid canvas in the agent context. For personalization, it organizes memory from raw conversations into atoms, scenarios, and persona-level knowledge. The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency.
Features
- Local-first agent memory system
- Symbolic Mermaid task canvases
- Four-layer long-term memory pyramid
- SQLite and sqlite-vec default backend
- Traceable drill-down memory recovery
- OpenClaw and Hermes integration support
Programming Language
TypeScript
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/tencentdb-agent-memory.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.