ElizaOS AgentMemory Plugin Model Card

这是可索引项目报告证据页：它保留 ElizaOS AgentMemory Plugin Model Card 的源材料入口、机制线索和限制提醒；正文仍需 reader/editor 与 academic public-copy review 后才能当作最终结论引用。

ElizaOS AgentMemory Plugin Model Card

1. Role in Self Evolve

elizaOS/agentmemory is a plugin module that enables memory management capabilities inside ElizaOS-based agent runtimes. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.

2. Working Principle

attach memory plugin into ElizaOS runtime pipeline -> persist memory records and expose retrieval hooks to agents -> apply configurable memory operations per interaction -> provide reusable memory module boundary for agent ecosystems

3. Evidence Path

web-observed GitHub page showed 236 stars, 57 forks, 123 commits, MIT license, and explicit plugin-level memory management framing for ElizaOS agents. Shell GitHub API access remained blocked by DNS and local gh auth was invalid, so this card treats the snapshot as web-observed rather than API-verified.

4. Teaching Use

Use this card to explain Agent Memory Plugin for ElizaOS Runtime and Persistent Context Handling: it shows how harness/runtime/benchmark layers convert agent behavior into reproducible and auditable engineering workflows.

5. Limits

The repository was not cloned in this iteration; no benchmark run, plugin install, workflow execution, or agent loop experiment was executed. Counts and claims are visible public-page/search signals unless independently revalidated later.