ai can finally REMEMBER YOU

@ai.honeycove

80.1K followers · usually 10.8K views a post

Views

37.7K

Likes

2.1K

Comments

42

Shares

549

SoundTikTok sound · Modern Properties

Promoted product

TencentDB Agent Memory

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...

4 videos4 creators

Why it worked

The video effectively explains a complex AI concept (long-term memory for agents) using clear analogies and visual aids, while highlighting significant performance improvements and cost reductions, making it highly relevant to AI developers and enthusiasts.

Summary

This video introduces TencentDB Agent Memory, an open-source, local AI memory system designed to give AI agents long-term recall capabilities. It explains how the system mimics human memory by storing preferences and habits, leading to increased efficiency and reduced costs.

Structure

1Introduction to AI memory limitations
2Introducing TencentDB Agent Memory
3Explaining the four-tier memory system

Original caption

Tencent DB Agent Memory just open-sourced a local AI memory system that mimics human long-term recall. It boosts AI agent efficiency by cutting token costs 61% and improving task success over 50% with layered, evolving memory that remembers your preferences and habits. #tencentdbagent #aimemory #openaiinnovation #agenticai #localai

More from @ai.honeycove

Product placement

TencentDB Agent Memory ACTS - it is an open-sourced, local AI memory system that gives AI agents long-term recall, cutting token costs and improving task success. Removing it would change the video's subject. TencentDB ACTS - it is the company that built the Agent Memory system. Removing it would change the video's subject.

On-screen text

ai can finally REMEMBER YOU this Chinese company just open sourced a fully local memory system that gives any AI agent human like long term recall memory meet Tencent DB Agent Memory Agent Memory critical use right now every agent you use starts from absolute scratch week 1 AI support agent Hi! How can I help you today? Hey, I'm facing a serious bug now. Every time I export the report with 'Something went wrong' you close and open a new week 2 AI support agent Hi! How can I help you today? Looks like I have to start from again. it has no are what you prefer what you were working on last which is why Tencent built a four tier memory that changes this completely like how your own brain works handles what's happening right now and long term memory stores your preferences and personality their system works the same way it watches your pulls out key like this user prefers Python or they always want concise responses and stores them in layers that get smarter use the agent and it cuts token costs by 61% and improves task success by over 50% because the agent isn't burning context window space rereading the same background every session it's fully open source and runs

Transcript

this Chinese company just open sourced a fully local memory system that gives any AI agent human like long term recall memory. Meet Tencent DB Agent Memory. Agent Memory, which solves a critical problem in agentic use right now. Every agent you use starts from absolute scratch. Week 1. AI support agent. Hi! How can I help you today? Hey, I'm facing a serious bug now. Every time I export the report with 'Something went wrong', you close and open a new. Week 2. AI support agent. Hi! How can I help you today? Looks like I have to start from again. It has no idea who you are, what you prefer, or what you were working on last week. Which is why Tencent built a four tier memory system that changes this completely. Think of it like how your own brain works. Short term memory handles what's happening right now. And long term memory stores your preferences and personality over time. Their system works the same way. It watches your conversations, pulls out key facts, like this user prefers Python, or they always want concise responses, and stores them in layers that get smarter the longer you use the agent. And it cuts token costs by 61% and improves task success by over 50% because the agent isn't burning context window space rereading the same background every session. It's fully open source and runs