Llama-github is an open-source Python library that empowers LLM Chatbots, AI Agents, and Auto-dev Solutions to conduct Retrieval from actively selected GitHub public projects. It Augments through LLMs and Generates context for any coding question, in order to streamline the development of sophisticated AI-driven applications.
active 2024-06-01 → 2026-07-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 779 days from 2024-06-01 to 2026-07-19. Pushes: 56 total, peak 13 in a day. Pull requests: 10 total, peak 5 in a day. Issues: 10 total, peak 8 in a day. Comments: 9 total, peak 4 in a day. Stars: 198 total, peak 14 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 |
|---|---|---|---|---|
| JetXu-LLM | 89 | 57 | 10 | 7 |
| llamapreview[bot] | 5 | 0 | 0 | 0 |
| clinfleury | 2 | 0 | 2 | 0 |
| balachander712 | 2 | 0 | 0 | 2 |
| Tusenka | 1 | 0 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
- Pull request#29JetXu-LLM2025-07-28 03:45
- Pull request#29clinfleury2025-07-28 03:23
- Issue#28Tusenka2025-07-06 09:34Add tests to the project
- ReleaseJetXu-LLM2025-05-25 11:48
- ReleaseJetXu-LLM2025-03-19 03:49Llama-github Release v0.2.8
- ReleaseJetXu-LLM2024-12-14 16:14Llama-github Release v0.2.6
- ReleaseJetXu-LLM2024-12-07 16:07Llama-github Release v0.2.4
- ReleaseJetXu-LLM2024-11-16 14:21Llama-github Release v0.2.1
- ReleaseJetXu-LLM2024-11-03 14:59Llama-github Release v0.1.8
- Pull request#25JetXu-LLM2024-10-20 13:40
- Pull request#25JetXu-LLM2024-10-20 13:35
- Pull request#24JetXu-LLM2024-10-20 13:32
- Pull request#24JetXu-LLM2024-10-20 13:30
- Pull request#24JetXu-LLM2024-10-20 13:29
- Pull request#24JetXu-LLM2024-10-19 14:51
- ReleaseJetXu-LLM2024-08-23 03:47Llama-github Release v0.1.1
- Pull request#16JetXu-LLM2024-08-17 03:23
- Issue comment#16JetXu-LLM2024-08-17 03:21Add answer_with_context method
- Issue comment#2JetXu-LLM2024-06-23 08:57Add meta data to output contexts
- Issue#2JetXu-LLM2024-06-23 08:57Add meta data to output contexts
- Issue comment#15JetXu-LLM2024-06-23 08:53Add meta data to output contexts
- Pull request#15JetXu-LLM2024-06-23 08:52
- Issue comment#15balachander7122024-06-22 18:32Add meta data to output contexts
- Issue comment#15balachander7122024-06-15 13:48Add meta data to output contexts
- Issue#14JetXu-LLM2024-06-08 14:16Add User-defined Retrieval Strategy Feature
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 198 stars here means stars gained during the window, not the repo's star count.