SynkraAI/aiox-core

Synkra AIOS: AI-Orchestrated System for Full Stack Development - Core Framework v4.0

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Summary Information

Updated 14 minutes ago
Added to GitGenius on February 20th, 2026
Created on December 9th, 2025
Open Issues & Pull Requests: 33 (+0)
Number of forks: 944
Total Stargazers: 3,081 (+0)
Total Subscribers: 67 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 40.3 hours
Mean response time: 5.6 days
90th percentile: 11.4 days
Tracked items: 217

How this project is maintained

Around half of the issues opened in the past year never receive a reply. Work labelled "area: installer" is answered fastest, typically in about 6 hours, while "community: good first issue" waits about 11 days. Only 12% of issues opened in the past year have been closed. Three people close 94% of everything that gets resolved.

Charts & Analytics

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Issue Activity (beta)

Open issues: 8
New in 7 days: 0
Closed in 7 days: 0
Avg open age: 12 days
Stale 30+ days: 1
Stale 90+ days: 0

Recent activity

Opened in 7 days: 0
Closed in 7 days: 0
Comments in 7 days: 3
Events in 7 days: 6

Top labels

  • status: needs-triage (184)
  • area: core (59)
  • type: bug (35)
  • status: confirmed (34)
  • priority: P3 (25)
  • type: test (23)
  • community: good first issue (21)
  • area: installer (18)

Detailed Description

AIOX is an AI orchestration framework that enables developers to build full-stack applications through specialized agents, workflows, and CLI-first automation.

The framework addresses the challenge of coordinating multiple AI agents across development tasks by providing a structured system where agents can be activated, communicate, and execute commands within a unified CLI environment. Its approach prioritizes command-line interaction as the primary interface, treating observability and UI as secondary concerns. Developers activate specialized agents for different domains, confirm their readiness through a greeting mechanism, and execute commands that produce useful output within a defined timeframe.

Teams building full-stack applications with multiple specialized roles should consider this tool if they want to delegate tasks to AI agents rather than managing them manually. The framework supports integration with various IDEs and CLI environments including Claude Code, Gemini CLI, and Codex CLI, though the README notes that hook compatibility varies significantly across platforms. Claude Code offers complete lifecycle hook support for maximum automation, while Cursor and GitHub Copilot have no equivalent lifecycle hooks and rely instead on rules and MCP integration. The framework emphasizes returning control to developers who want to build, positioning itself as an alternative to more rigid automation systems.

The project's maintainers respond to new issues and pull requests within a few days. Work in the issue tracker centers on triage, core framework areas, and issue confirmation, suggesting active but methodical development focused on validating and addressing reported problems.