Agent in the loop instead of a human in the loop to do agent training using a parser without the agent's knowledge, so that we can produce reflection to gain foresight, potentially dynamic. And we're going to do this on the ibm cloud
active 2025-02-22 → 2025-03-11 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 18 days from 2025-02-22 to 2025-03-11. Pushes: 16 total, peak 7 in a day. Pull requests: 2 total, peak 2 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| CapuchaRojo | 18 | 16 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.