elizaOS Autonomous Agent Framework Model Card
这是可索引项目报告证据页：它保留 elizaOS Autonomous Agent Framework 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 Autonomous Agent Framework Model Card
| Field | Value |
|---|---|
| Repository | elizaOS/eliza |
| Category | Autonomous Agent Framework |
| Stars / forks snapshot | 17300 / 5400 |
| Language | TypeScript |
| License | MIT visible on repository listing |
| Raw capture | raw-github/elizaos_eliza.md |
| Updated by | hourly public metadata update, 2026-05-26 04:41 +0800 |
1. Role in Self Evolve
elizaOS is a high-adoption autonomous-agent framework. It matters to the Self Evolve corpus as ecosystem infrastructure: plugins, CLI, lifecycle management, and deployment surfaces can carry memory, skill, workflow, and evaluator loops.
2. Working Principle
agent application need -> modular framework / CLI / web interface -> plugins and lifecycle controls -> deployed autonomous agents
3. Evidence Path
Web-observed GitHub evidence showed roughly 17.3k to 17.5k stars, 5.4k to 5.5k forks, MIT license visibility, TypeScript stack, and an open-source framework for building autonomous AI agents. Shell GitHub API freshness was not available in this run, so the metadata is web-observed rather than API-verified.
4. Teaching Use
Use this card when teaching the difference between high-adoption agent runtimes and strict self-evolution systems. elizaOS is important infrastructure, but downstream evaluation must still prove whether agents improve across tasks or time.
5. Limits
The repository was not cloned or executed locally. No plugin, memory, benchmark, or production deployment claim was independently verified in this iteration.