active 2025-04-26 → 2025-04-28 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2025-04-26 to 2025-04-28. Pushes: 47 total, peak 31 in a day. Pull requests: 20 total, peak 14 in a day. Issues: 46 total, peak 30 in a day. Comments: 38 total, peak 28 in a day. Stars: 0 total, peak 0 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| Alberto-Codes | 143 | 47 | 20 | 30 |
| Copilot | 36 | 0 | 0 | 8 |
Recent activity
Latest issues, pull requests and releases
- Issue comment#41Alberto-Codes2025-04-28 06:08Explore Multi-Agent Delegation/Hand-off Pattern
- Issue#41Alberto-Codes2025-04-28 04:19Explore Multi-Agent Delegation/Hand-off Pattern
- Issue#40Alberto-Codes2025-04-28 04:11Implement SQL Agent based on PydanticAI example
- Issue#37Alberto-Codes2025-04-28 04:00Implement CAG Agent for Document Content Submission
- Pull request#39Alberto-Codes2025-04-28 04:00
- Pull request#39Alberto-Codes2025-04-28 03:59
- Issue#38Alberto-Codes2025-04-28 03:53Investigate QueryAgent Sensitivity to Metadata Field Typos
- Issue comment#37Alberto-Codes2025-04-28 01:25Implement CAG Agent for Document Content Submission
- Issue comment#37Alberto-Codes2025-04-28 01:23Implement CAG Agent for Document Content Submission
- Issue#37Alberto-Codes2025-04-28 01:14As a user, I want the agent to submit document contents for CAG (Cache Augmented Generation) after search, so that I can get answers grounded in retrieved documents
- Issue#18Alberto-Codes2025-04-28 00:56Feature: Implement Agent and DuckDB Tool for Metadata-Based Document Retrieval
- Issue#18Alberto-Codes2025-04-28 00:56Feature: Implement Agent and DuckDB Tool for Metadata-Based Document Retrieval
- Pull request#36Alberto-Codes2025-04-28 00:56
- Pull request#36Alberto-Codes2025-04-28 00:55
- Issue#35Alberto-Codes2025-04-28 00:51Enhance QueryAgent: Iterative Refinement Logic
- Issue#34Alberto-Codes2025-04-28 00:51Enhance QueryAgent: Query Planning & Brainstorming Logic
- Issue comment#18Alberto-Codes2025-04-28 00:34Feature: Implement Agent and DuckDB Tool for Metadata-Based Document Retrieval
- Issue comment#18Alberto-Codes2025-04-27 23:24Feature: Implement Agent and DuckDB Tool for Metadata-Based Document Retrieval
- Issue comment#18Alberto-Codes2025-04-27 22:23Feature: Implement Agent and DuckDB Tool for Metadata-Based Document Retrieval
- Issue#11Alberto-Codes2025-04-27 22:04Refactor Ingestion Pipeline using pydantic-graph
- Issue#33Alberto-Codes2025-04-27 22:04Complete pydantic-graph Ingestion Pipeline Refactor
- Issue comment#11Alberto-Codes2025-04-27 22:02Refactor Ingestion Pipeline using pydantic-graph
- Issue#29Alberto-Codes2025-04-27 21:57Improve Error Handling/Reporting in Metadata Extraction Task (Task 3)
- Pull request#32Alberto-Codes2025-04-27 21:57
- Issue comment#32Alberto-Codes2025-04-27 21:55Feat: Improve Task 3 Error Handling and Reporting (Closes #29)
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.