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TencentMay 20, 2026

TencentDB Agent Memory

Featured on Blog
Paid
Agent Memory
Long-term Memory
Tencent
Open Source
OpenClaw
Token Optimization
AI Agents
Local AI

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TencentDB Agent Memory: Layered Long-Term Memory for AI Agents With 61% Token Reduction

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TencentDB Agent Memory: Layered Long-Term Memory for AI Agents With 61% Token Reduction

Tencent has open-sourced TencentDB Agent Memory, a fully local long-term memory system for AI agents built on a 4-tier progressive pipeline combining symbolic short-term memory and layered long-term personalization. In benchmarks, it cuts token usage by up to 61.38% and improves task success rates by 51.52%, with zero external API dependencies.

### TL;DR

TencentDB Agent Memory is a fully local, open-source long-term memory system for AI agents built by Tencent. Using a 4-tier progressive pipeline with symbolic short-term memory (Mermaid canvas) and layered long-term memory (L0→L3 persona hierarchy), it cuts token usage by 61% and improves agent task success by 51% when integrated with OpenClaw — with zero external API dependencies.

Key Insights & Metrics

Pricing
Free (Open Source)
Cost structure
Version
Latest (May 2026)
Current release version
Hardware
Fully local; no GPU required; runs on standard developer hardware with Node.js/TypeScript
Compute requirements
Category
Paid
Licensing model
Region
Global
Primary region

Key Features

  • Symbolic short-term memory — offloads verbose tool logs to external files and condenses in-context state into compact Mermaid symbol graphs with node_id tracing; cuts WideSearch token usage by 61.38% and improves pass rate from 33% to 50% (relative +51.52%)
  • 4-tier long-term memory pipeline — L0 raw conversation → L1 atomic facts → L2 scenario blocks → L3 user persona; layered storage with full drill-down traceability (no irreversible compression); raises PersonaMem accuracy from 48% to 76%
  • Fully local, zero external API dependencies — dual-layer storage (database for facts/logs + Markdown for personas/scenes); integrates as an OpenClaw plugin and Hermes skillpack; SWE-bench improvement +9.93% with 33% token savings

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