Discrawl Model Card
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Discrawl Model Card
| Field | Value |
|---|---|
| Repository | openclaw/discrawl |
| Category | Discord Archive and Memory Ingest Harness |
| Stars / forks snapshot | 761 / 81 |
| Language | Go |
| License | MIT |
| Raw capture | raw-github/openclaw_discrawl.md |
| Updated by | hourly public metadata update, 2026-05-29 22:15 +0800 |
1. Role in Self Evolve
discrawl is a Discord CLI crawler with SQLite-backed archival pipelines for building reusable organizational memory datasets. It matters because self-evolving agents need repeatable harness control, measurable feedback loops, and reusable skill procedures before claiming stable improvement.
2. Working Principle
crawl Discord channels through CLI workflows -> persist conversations into SQLite archives -> expose query-ready organizational memory artifacts -> support agent learning and maintainer context retrieval loops
3. Evidence Path
web-observed GitHub page showed 761 stars, 81 forks, 329 commits, MIT license, and about text describing a Discord CLI crawler with SQLite backend. 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 Discord Archive and Memory Ingest Harness: 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.