by aipartnerup · MCP 服务器 · ★ 7
apflow apflow is a distributed task orchestration framework that scales from a single process to multi-node clusters. It provides a unified execution interface with 12+ built-in executors, A2A protocol support, and automatic leader election with failover. ⚠️ Repository Migration Notice This repository has been moved to our new GitHub organization: 👉 https://github.com/aiperceivable/apflow All future updates, issues, and contributions will continue at the new location. Please update your bookmarks, git remotes, and references accordingly.
| Stars | 7 |
| Forks | 3 |
| Language | Python |
| Category | MCP 服务器 |
| Quality Score | 28.8/100 |
| Open Issues | 1 |
| Last Updated | 2026-03-08 |
| Created | 2025-11-19 |
| Platforms | mcp, python |
| Est. Tokens | ~375k |
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apflow is The core of `apflow` is **task orchestration and execution specifications**. It provides a unified task orchestration framework that supports execution of multiple task types. The core is **pure orche. It is categorized as a MCP 服务器 with 7 GitHub stars.
apflow is primarily written in Python. It covers topics such as a2a-protocol, agent-framework, ai-agents.
You can find installation instructions and usage details in the apflow GitHub repository at github.com/aipartnerup/apflow. The project has 7 stars and 3 forks, indicating an active community.