[KongchangAI]
Concept记忆功能 / 外部记忆层

Memory

A cross-session memory mechanism for AI agents that establishes a persistent storage layer outside the model. It saves user preferences, correction history, and project experience as retrievable notes, enabling agents to accumulate personalized knowledge across different sessions.

Core Facts

Timeline (last 90 days)

Oct 12

Devin's Memory belongs to the semantic layer of long-term memory, while Dreaming is closer to metadata management of long-term memory.

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Oct 12

Devin's memory system consists of two mechanisms: Memory and Dreaming.

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Oct 12

Cognition's Devin has a mechanism called Memory that can retain awareness of the user's working habits across sessions.

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Oct 12

Historical conversations are usually truncated by turns or by a token-count window, to avoid the prompt growing indefinitely and exceeding the model's context length limit or driving up call costs.

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Oct 11

When OpenAI's ChatGPT launched the Memory feature, it went through controversy, as the system automatically memorizing user information across sessions caused some users to worry about privacy leakage or information cross-contamination

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Oct 9

OpenAI is attempting to build cross-session user profiles through the Memory feature and GPT Actions.

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Oct 8

Cognition has launched Memory and Dreaming features for its programming agent Devin.

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Oct 8

The Memory and Dreaming features have not yet been independently tested by third parties, and all relevant information comes entirely from Cognition's official announcements.

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Oct 8

Content recorded by Memory is saved as brief notes and is exclusive to individual users.

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Oct 7

Session ID is used to distinguish different conversation contexts, so that when multiple users are conversing simultaneously, each user's message history is stored separately.

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21 more timeline events

All Facts (20)

Verified

The memory module enables an agent to remember context and historical interactions, enabling continuous decision-making.

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Verified

LangChain introduced two paradigms—chain invocation (Chain) and agents (Agent)—where the former is suited for fixed sequential process tasks and the latter is suited for open-ended tasks that dynamically infer the next step.

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Unverified

Devin's Memory belongs to the semantic layer of long-term memory, while Dreaming is closer to metadata management of long-term memory.

50%
Unverified

Cognition's Devin has a mechanism called Memory that can retain awareness of the user's working habits across sessions.

50%
Unverified

Devin's memory system consists of two mechanisms: Memory and Dreaming.

50%
Unverified

Historical conversations are usually truncated by turns or by a token-count window, to avoid the prompt growing indefinitely and exceeding the model's context length limit or driving up call costs.

50%
Unverified

When OpenAI's ChatGPT launched the Memory feature, it went through controversy, as the system automatically memorizing user information across sessions caused some users to worry about privacy leakage or information cross-contamination

50%
Unverified

OpenAI is attempting to build cross-session user profiles through the Memory feature and GPT Actions.

50%
Unverified

The Memory and Dreaming features have not yet been independently tested by third parties, and all relevant information comes entirely from Cognition's official announcements.

50%
Unverified

Content recorded by Memory is saved as brief notes and is exclusive to individual users.

50%
Unverified

Session ID is used to distinguish different conversation contexts, so that when multiple users are conversing simultaneously, each user's message history is stored separately.

50%
Unverified

Claude's memory entries can be manually managed by the user or automatically generated and updated by Claude during conversations.

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According to Claude's official documentation, enabling Incognito Chat does not invoke Claude's existing memories.

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The content of Incognito Chat will not be incorporated into future memory entries.

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Claude's Memory feature allows Claude to retain information about the user across multiple conversations, such as occupation, preferences, and habits.

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Without a Memory node, each reply from the Agent is independent and cannot be associated with previous conversation content.

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The Memory node in n8n uses Window Buffer Memory by default.

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ChatGPT's memory entries are stored at the account level rather than the device level, so the same memory store can be retrieved regardless of which device or network is used when logged into the same account.

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Unverified

Context is temporary information for the current task and is discarded when the task ends, while Memory is long-term information retained across tasks; the two must be managed separately.

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Unverified

If incorrect information is saved to long-term memory, it will contaminate subsequent tasks; only truly valuable, confirmed information should be saved.

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