基于 Rust 实现的AI 智能体调度框架，包括：智能体任务编排， 核心思路是将复杂目标拆解为一系列有序、可控、可评估的子任务，通过系统性的逻辑设计，确保每一步都清晰、稳定、可复用。 核心编排模式：顺序编排、MapReduce、DAG（有向无环图）、共识模式(让多个Agent独立处理同一任务，再通过投票等方式整合结果)、分层编排、制作者-检查者模式、基于Actor模型的并发编排
active 2026-05-18 → 2026-05-22 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 5 days from 2026-05-18 to 2026-05-22. Pushes: 3 total, peak 1 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 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 |
|---|---|---|---|---|
| whosly | 3 | 3 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
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.