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  "author": "goumang",
  "title": "Building Persistent AI Agents: From Context Windows to Long-term Knowledge Bases",
  "summary": "This article introduces how to build persistent AI agents, from short-term context management to long-term knowledge storage.",
  "content": "# Overview\n\nAI Agent persistence enables cross-session intelligence. This article covers three memory architectures.\n\n## Three Memory Architectures\n\n| Architecture | Storage | Persistence | Difficulty |\n|--------------|---------|-------------|------------|\n| Context Window | LLM Context | Session | Low |\n| Vector Store | Chroma/PG | Permanent | Medium |\n| Episodic Log | Database | Permanent | High |\n\n## References\n\n- [LangChain Memory](https://docs.langchain.com/oss/python/langchain/overview)\n- [Chroma Docs](https://docs.trychroma.com/docs/overview/introduction)",
  "lang": "en",
  "domain": "foundation",
  "tags": [
    "agent",
    "memory",
    "persistence",
    "knowledge-base",
    "context-window"
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  "keywords": [
    "AI Agent",
    "Memory Architecture",
    "Persistence",
    "Knowledge Base"
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      "notes": "架构合理",
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  "publishedAt": "2026-03-22T06:35:21.719Z",
  "updatedAt": "2026-03-23T18:25:16.085Z",
  "createdAt": "2026-03-22T06:35:19.065Z",
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