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An Open-Source Large-Scale Reinforcement Learning Project for Search Agents

active 2025-08-072026-06-10 (UTC)

Partial coverage20,524 / 26,280 hourly files (78%) · 2 absent upstream · 5,753 failed, retryable2023-08-152026-08-13 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
379
Pushes
24
Pull requests
9
Issues
23
Stars
276
Forks
16

Activity over time

Daily event counts in the loaded window

Line chart, 308 days from 2025-08-07 to 2026-06-10. Pushes: 24 total, peak 3 in a day. Pull requests: 9 total, peak 2 in a day. Issues: 23 total, peak 4 in a day. Comments: 26 total, peak 4 in a day. Stars: 276 total, peak 43 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

ContributorContributionsPushesPRsComments
samjia20004521516
GurrenLagann978341
daybreaksly3001
wenjunli-03002
Huziyou2001
cjz0072000
Wenze72001
ligang-cs2001
bestpredicts2000
WujiangXu2000
Necolizer2001
unknowed-ER2001
G-JWLee1000
csung71000
MuL1ian1000
ZiyiTsang1000
jianshuod1000
HuichiZhou1001
NielsRogge1000

Recent activity

Latest issues, pull requests and releases

  • Issue comment#29wenjunli-02025-12-09 03:16
    Unstable Training
  • Issue#31MuL1ian2025-11-01 09:51
    Question about LRM model training
  • Issue comment#30wenjunli-02025-09-26 02:48
    Question regarding training steps
  • Issue comment#30samjia20002025-09-26 01:26
    Question regarding training steps
  • Issue#29wenjunli-02025-09-22 09:10
    Unstable Training
  • Issue comment#26unknowed-ER2025-09-12 06:58
    Search_only flag in ASearcherWorkflow causing incorrect prompt template usage across local and web modes
  • Issue comment#26samjia20002025-09-12 05:34
    Search_only flag in ASearcherWorkflow causing incorrect prompt template usage across local and web modes
  • Issue#27NielsRogge2025-09-11 12:37
    Release ASearcher-v2 / QwQ-32B Agent on Hugging Face
  • Issue#26unknowed-ER2025-09-11 03:37
    Search_only flag in ASearcherWorkflow causing incorrect prompt template usage across local and web modes
  • Pull request#24samjia20002025-09-08 07:37
  • Pull request#24GurrenLagann972025-09-08 02:39
  • Issue#23csung72025-09-06 05:23
    Support for LoRA + Example YAML config updates
  • Issue comment#22ligang-cs2025-09-05 04:22
    Unable to reproduce results of ASearcher-Web-QwQ on GAIA.
  • Issue comment#21Wenze72025-09-04 16:49
    训练hang住
  • Issue comment#22samjia20002025-09-04 07:28
    Unable to reproduce results of ASearcher-Web-QwQ on GAIA.
  • Issue#22ligang-cs2025-09-03 13:29
    Unable to reproduce results of ASearcher-Web-QwQ on GAIA.
  • Issue comment#21samjia20002025-09-03 05:58
    训练hang住
  • Issue#21Wenze72025-09-02 08:26
    训练hang住
  • Issue#20daybreaksly2025-08-31 02:27
    Question: Can training be resumed, and what else is required besides recover_start_step?
  • Issue#20daybreaksly2025-08-30 14:43
    Question: Can training be resumed, and what else is required besides recover_start_step?
  • Issue#7samjia20002025-08-29 07:32
    Evaluation framework
  • Issue comment#18Huziyou2025-08-29 06:10
    Question about Multi-Turn Training with External Tools (e.g., Search R1)
  • Issue comment#19samjia20002025-08-29 03:50
    Differences Between Index Files from index_builder.py and Search-R1
  • Issue#12samjia20002025-08-29 03:46
    Unable to reproduce results for ASearcher-Local-7B evaluation
  • Issue#19Necolizer2025-08-29 02:46
    Differences Between Index Files from index_builder.py and Search-R1

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 276 stars here means stars gained during the window, not the repo's star count.