AgentSkillsCN

gemini-memory-lifecycle

智能体记忆生命周期的策略（提取、整合、检索）。通过这一策略，让智能体超越单次会话，实现长期学习与个性化定制。

SKILL.md
--- frontmatter
name: gemini-memory-lifecycle
description: strategies for the agent memory lifecycle (Extraction, Consolidation, Retrieval). Use this to implement long-term learning and personalization beyond a single session.

Gemini Memory Lifecycle Strategies

Goal

Transform transient conversation data into persistent, high-value "Memories" that allow the agent to learn about the user over time, creating a personalized experience.

The Core Lifecycle (ETL for Agents)

1. Extraction (Signal vs. Noise)

  • •Concept: Use an LLM to scan the raw session logs and extract only "meaningful" information, discarding pleasantries and filler.
  • •Method: Define "Topic Definitions" (e.g., User Preferences, Goals, Facts). If the data doesn't fit a topic, do not create a memory.
  • •Technique:
    • •Schema-Based: Extract specific fields (e.g., {"food_preference": "vegan"}).
    • •Natural Language: Extract atomic statements (e.g., "The user prefers window seats").

2. Consolidation (The Gardener)

  • •Concept: "Self-editing" the knowledge base. New information must be merged with old information to prevent contradictions and duplicates.
  • •Operations:
    • •Create: If the insight is novel.
    • •Update: If the insight refines existing knowledge (e.g., "User likes spicy food" -> "User likes mildly spicy food").
    • •Delete/Invalidate: If the new info contradicts old info, remove the stale memory.

3. Retrieval (Finding Context)

  • •Concept: Fetching the right memory at the right time.
  • •Scoring Dimensions: Do not rely on Semantic Similarity alone. Use a Blended Score:
    1. •Relevance: Vector similarity to the current query.
    2. •Recency: Favor newer memories over older ones.
    3. •Importance: Weight memories based on their significance (defined at generation time).

Memory Types

Declarative Memory ("Knowing What")

  • •Definition: Facts, figures, and user details (e.g., "My anniversary is October 26th").
  • •Storage: Best stored in Vector Databases (for semantic search) or Knowledge Graphs (for relationship mapping).

Procedural Memory ("Knowing How")

  • •Definition: Strategies and workflows. The agent remembers how it successfully solved a problem in the past.
  • •Application: Used to inject a "playbook" of successful steps into the prompt for complex tasks.

Best Practices

  • •Asynchronous Generation: Memory generation is expensive. Always run the Extraction and Consolidation steps in the background after the agent has responded to the user. Never block the user interface.
  • •Provenance: Track the "Source Reliability" of every memory. A memory derived from explicit user input ("I am vegan") is higher trust than one inferred from conversation ("User asked about salads").