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Atlas is infrastructure for continual learning in LLM agents.

active 2025-10-032026-01-24 (UTC)

Complete coverage26,606 / 26,606 hourly files (100%) · 2 absent upstream2023-08-152026-08-27 (UTC)
Events
546
Pushes
136
Pull requests
67
Issues
77
Stars
1
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 114 days from 2025-10-03 to 2026-01-24. Pushes: 136 total, peak 19 in a day. Pull requests: 67 total, peak 9 in a day. Issues: 77 total, peak 13 in a day. Comments: 128 total, peak 23 in a day. Stars: 1 total, peak 1 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
jbarnes8502761245919
Copilot1450296
aman-jaglan251261
coderabbitai[bot]250012

Recent activity

Latest issues, pull requests and releases

  • Issue#123jbarnes8502025-11-22 23:41
    Implement lightweight visualization dashboard for learning and reward monitoring
  • Releasejbarnes8502025-11-22 23:11
    v0.1.16: Zero-Friction Onboarding and KV Cache Optimization
  • Pull request#146jbarnes8502025-11-22 22:40
  • Pull request#146jbarnes8502025-11-22 22:33
  • Pull request#146jbarnes8502025-11-22 22:33
  • Issue#142jbarnes8502025-11-22 21:41
    Experiment: append learning playbook + few-shot suffix
  • Issue#145jbarnes8502025-11-22 21:33
    Refactor atlas env init: LLM-driven configuration with clean output
  • Issue#145jbarnes8502025-11-22 21:33
    Refactor atlas env init: LLM-driven configuration with clean output
  • Pull request#144jbarnes8502025-11-22 21:11
  • Issue#141jbarnes8502025-11-22 18:46
    BYOA Adapter: Learning Usage Tracking (Cue Hits & Action Adoptions) Requires Manual Implementation
  • Issue#142jbarnes8502025-11-22 18:37
    Experiment: append learning playbook + few-shot suffix
  • Issue#142jbarnes8502025-11-14 16:31
    Experiment: append learning playbook + few-shot suffix
  • Issue#139jbarnes8502025-11-12 01:09
    Use Gemini structured outputs for learning synthesis
  • Issue#138jbarnes8502025-11-12 01:09
    Learning synthesis not triggered when session_reward is set via orchestrator
  • Pull request#140jbarnes8502025-11-12 01:01
  • Issue comment#138jbarnes8502025-11-12 00:44
    Learning synthesis not triggered when session_reward is set via orchestrator
  • Issue#138jbarnes8502025-11-12 00:43
    Learning synthesis not triggered when session_reward is set via orchestrator
  • Issue#138jbarnes8502025-11-12 00:43
    Learning synthesis not triggered when session_reward is set via orchestrator
  • Issue#135jbarnes8502025-11-06 18:27
    Refactor atlas/cli/env.py: Extract and organize 670+ lines of bloat
  • Pull request#136jbarnes8502025-11-06 17:54
  • Pull request#136jbarnes8502025-11-06 17:54
  • Issue#123jbarnes8502025-11-06 16:22
    Implement lightweight visualization dashboard for learning and reward monitoring
  • Issue#123jbarnes8502025-11-06 16:22
    Implement lightweight visualization dashboard for learning and reward monitoring
  • Issue#134jbarnes8502025-11-06 15:46
    Clean up CLI output for better developer experience
  • Issue comment#127jbarnes8502025-11-06 15:08
    Document storage fallback behavior and Postgres-optional workflows

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.