{
  "schema_version": "1.1",
  "id": "s9:https://github.com/TencentCloud/TencentDB-Agent-Memory",
  "slug": "tencentdb-agent-memory-0gx8nnn",
  "url": "https://feed7.dev/p/tencentdb-agent-memory-0gx8nnn",
  "title": "TencentCloud/TencentDB-Agent-Memory",
  "why_included": "An open-source memory hub turns agent conversations, workflows, docs, and code into governed assets that can be reused across sessions and roles, reducing repeated project setup.",
  "summary": "TencentDB Agent Memory packages prior work into **four memory assets**: Chat Memory, Skills, Wiki, and CodeGraph. The hub adds ownership, versions, agent bindings, and private, team, or ACL-based access.",
  "practical_implication": "Use it to give coding and review agents different context loadouts instead of one global prompt. Memory is distilled through **L0–L3**, while detailed recall combines **BM25, vector retrieval, and RRF** under context-size and timeout limits.",
  "agent_context": "TencentDB Agent Memory packages prior work into **four memory assets**: Chat Memory, Skills, Wiki, and CodeGraph. The hub adds ownership, versions, agent bindings, and private, team, or ACL-based access.\n\nUse it to give coding and review agents different context loadouts instead of one global prompt. Memory is distilled through **L0–L3**, while detailed recall combines **BM25, vector retrieval, and RRF** under context-size and timeout limits.\n\nThe Team Memory release is still a beta. Wiki and CodeGraph indexing is asynchronous, private-repository support and automatic routing remain incomplete, and current compatibility is limited to **OpenClaw, Hermes, and SDK integrations**.",
  "source": {
    "name": "GitHub",
    "url": "https://github.com/TencentCloud/TencentDB-Agent-Memory",
    "published_at": null
  },
  "source_class": "tool",
  "content_type": "GitHub Repo",
  "layer": "agent",
  "domains": [
    "coding"
  ],
  "topics": [
    "agent-memory",
    "skills",
    "context-engineering"
  ],
  "verification": {
    "status": "needs_review",
    "label": "Needs Review",
    "method": "unverified",
    "verified_at": null
  },
  "uncertainty": [
    "The Team Memory release is still a beta. Wiki and CodeGraph indexing is asynchronous, private-repository support and automatic routing remain incomplete, and current compatibility is limited to **OpenClaw, Hermes, and SDK integrations**."
  ],
  "connected_context": {
    "meaning": "This makes the proposed shared context layer more concrete by packaging governed, versioned assets with per-agent bindings, tiered distillation, and hybrid retrieval. It also exposes the gap between architecture and production readiness: routing, repository coverage, indexing latency, compatibility, and recipient-level access still constrain a portable team-memory layer.",
    "corpus_size": 319,
    "generated_at": "2026-08-02T10:05:03.061Z",
    "connections": [
      {
        "title": "WTF Is the Context Layer? The Missing Infrastructure for Production Agents — Prukalpa Sankar",
        "source_name": "AI Engineer",
        "source_url": "https://www.youtube.com/watch?v=8G_1-3IO4ZQ",
        "feed7_url": "https://feed7.dev/p/wtf-is-the-context-layer-the-missing-infrastructure-for-production-agent-0t47xqf",
        "reason": "TencentDB implements much of Atlan’s proposed shared, versioned context layer, including reusable facts, skills, ownership, and agent-specific access."
      },
      {
        "title": "Skills are new features: Building Skill-Centric Harness — Yogendra Miraje, FactSet",
        "source_name": "AI Engineer",
        "source_url": "https://www.youtube.com/watch?v=7jjudsEhBtM",
        "feed7_url": "https://feed7.dev/p/skills-are-new-features-building-skill-centric-harness-yogendra-miraje-f-0lp4c7o",
        "reason": "The hub’s ownership, versions, bindings, and ACLs reinforce the claim that growing skill libraries require product-level routing and governance."
      },
      {
        "title": "Graphify-Labs/graphify",
        "source_name": "GitHub",
        "source_url": "https://github.com/Graphify-Labs/graphify",
        "feed7_url": "https://feed7.dev/p/graphify-1e0bs1f",
        "reason": "Graphify provides a focused precedent for the CodeGraph asset, while TencentDB places repository graphs beside other memory forms under one retrieval and governance system."
      },
      {
        "title": "Wearing the Agent: From Group Chats to Glasses — Sai Krishna Rallabandi",
        "source_name": "AI Engineer",
        "source_url": "https://www.youtube.com/watch?v=s67bE2Ur3bY",
        "feed7_url": "https://feed7.dev/p/wearing-the-agent-from-group-chats-to-glasses-sai-krishna-rallabandi-102hk49",
        "reason": "Its recipient-aware privacy concerns sharpen the importance of TencentDB’s private, team, and ACL-based access when memory is shared across agents and users."
      }
    ]
  },
  "lifecycle": "Current",
  "published_at": null,
  "modified_at": null,
  "supersedes": [],
  "expires_at": null,
  "formats": {
    "html": "https://feed7.dev/p/tencentdb-agent-memory-0gx8nnn",
    "json": "https://feed7.dev/p/tencentdb-agent-memory-0gx8nnn.json",
    "markdown": "https://feed7.dev/p/tencentdb-agent-memory-0gx8nnn.md"
  }
}