How Agents Remember You
Have you ever had this experience: every time you contact customer service, you have to repeat your needs, as if the other party has no "memory" at all?
DesireCore's Memory System is designed to solve this problem. It allows agents not only to complete current conversations but also to accumulate experience, truly becoming "better at understanding you the more you use it."
Memory vs. Chat History
You might think: "Isn't it just saving chat history?" In fact, memory and chat history are fundamentally different:
| Dimension | Chat History | Agent Memory |
|---|---|---|
| Nature | Sequential log of messages | Refined experience and cognition |
| Information Density | Low—contains lots of irrelevant content | High—only retains valuable information |
| Affects Behavior | No | Directly affects how agents respond |
| Manageability | Can only view entire segments | Can edit, delete, or mark individual entries |
To put it another way: chat history is like surveillance footage, while memory is your personal notebook—agents extract key points from each conversation, record them, and refer to them in future interactions.
Where Memory Comes From
Agent memory doesn't require manual input. At the end of each conversation, the system automatically performs a process called Reflect:
- Conversation Ends — You complete an exchange with the agent
- Automatic Reflection — The agent analyzes the conversation and extracts valuable information
- Generate Candidate Memories — The system generates several candidate memory entries
- Your Review — You can accept, reject, or edit these entries
- Formal Memory — Approved entries are written to the agent's memory bank
Agents don't secretly remember things. Every new memory goes through your review, and you can view, modify, or delete any memory at any time.
How Memory Affects Agents
Once information is remembered, it plays a role in future conversations:
- Personalized Responses: The agent knows whether you prefer concise or detailed response styles
- Context Continuity: No need to repeatedly explain project background each time
- Proactive Care: The agent may remind you of previously mentioned deadlines at appropriate times
- Decision Reference: Previously discussed solutions and decisions can be directly referenced
For example, if you tell a legal advisor agent "I am a CTO at a tech company," it will not only remember this fact but also automatically provide more relevant advice from a technology management perspective in subsequent legal consultations.
The "Brain" Structure of Memory
Agent memory isn't a chaotic mess of information—it's organized in three distinct areas, which we call the Three-Domain Memory Model. You can think of it like different functional areas of the human brain:
- Core Memory — Like the agent's "personality," it's the professional knowledge and basic cognition it comes with
- Relationship Memory — Like a "diary" between you and the agent, recording experiences accumulated through your interactions
- Shared Memory — Like a team's "shared document," public knowledge that multiple agents can reference
Want to dive deeper into the details of the three-domain memory? Read Three-Domain Memory Explained.
Memory Lifecycle
Memory isn't static. Over time, agent memory undergoes natural evolution:
- Active memories are prioritized for retrieval
- Long-unused memories are gradually compressed and archived
- No longer relevant memories may eventually be cleaned up
This process mimics the natural forgetting mechanism of human memory—ensuring the agent's "brain capacity" isn't filled with outdated information while important memories are properly retained.
If a particular memory is especially important to you, you can mark it as "Pin," and it will never be forgotten.