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The memory system enables the Agent to remember important information over time, continuously accumulating experience, understanding user preferences, and truly achieving autonomous thinking and continuous growth.

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How It Works

The Agent proactively stores memory in the following scenarios:
  • When user shares important information — Automatically identifies and stores preferences, decisions, facts, and other key information
  • When conversation reaches a certain length — Automatically extracts summaries to prevent information loss
  • When retrieval is needed — Intelligently searches historical memory, combining context for responses

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Memory Types

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Core Memory

Stored in ~/cow/memory/core.md, containing long-term user preferences, important decisions, key facts, and other information that doesn’t fade over time.

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Daily Memory

Stored in ~/cow/memory/daily/ directory, organized by date, recording daily conversation summaries and key events.

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First Launch

On first launch, the Agent will proactively ask the user for key information and save it to the workspace (default ~/cow):
FileDescription
system.mdAgent system prompt and behavior settings
user.mdUser identity information and preferences
memory/core.mdCore memory
memory/daily/Daily memory directory

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Memory Retrieval

The memory system supports hybrid retrieval modes:
  • Keyword retrieval — Match historical memory based on keywords
  • Vector retrieval — Semantic similarity search, finds relevant memory even with different wording
The Agent automatically triggers memory retrieval during conversation as needed, incorporating relevant historical information into context.

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Configuration

{
  "agent_workspace": "~/cow",
  "agent_max_context_tokens": 40000,
  "agent_max_context_turns": 30
}
ParameterDescriptionDefault
agent_workspaceWorkspace path, memory files stored under this directory~/cow
agent_max_context_tokensMax context tokens, affects short-term memory capacity40000
agent_max_context_turnsMax context turns, oldest conversations discarded when exceeded30