AgentraLabs Agentic Memory Runtime Model Card
这是可索引项目报告证据页：它保留 AgentraLabs Agentic Memory Runtime 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。
AgentraLabs Agentic Memory Runtime Model Card
| Field | Value |
|---|---|
| Repository | agentralabs/agentic-memory |
| Category | Agentic Memory Runtime Framework for Persistent Context |
| Stars / forks snapshot | 18 / 4 |
| Language | TypeScript |
| License | MIT |
| Raw capture | raw-github/agentralabs_agentic-memory.md |
| Updated by | hourly public metadata update, 2026-06-02 07:54 +0800 |
1. Role in Self Evolve
agentralabs/agentic-memory provides an agent memory runtime package focused on persistent context and reusable memory APIs. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
model memory as a first-class runtime subsystem -> persist and recall long-horizon context artifacts -> expose deterministic memory hooks to agent loops -> reduce context loss across iterative autonomous tasks
3. Evidence Path
web-observed GitHub page showed 18 stars, 4 forks, 21 commits, MIT license, and runtime-focused memory positioning. 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 Agentic Memory Runtime Framework for Persistent Context: 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.