by JunsW · Codex Skill · ★ 78
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Repo-native shared memory for AI coding agents.
| Stars | 78 |
| Forks | 0 |
| Language | Python |
| Category | Codex Skill |
| License | MIT |
| Quality Score | 56.2817423335396/100 |
| Last Updated | 2026-07-16 |
| Created | 2026-07-06 |
| Platforms | claude-code, codex, python |
| Est. Tokens | ~3k |
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feature-track is Repo-native shared memory for AI coding agents.. It is categorized as a Codex Skill with 78 GitHub stars.
feature-track is primarily written in Python. It covers topics such as agent-context, ai, ai-agent-memory.
You can find installation instructions and usage details in the feature-track GitHub repository at github.com/JunsW/feature-track. The project has 78 stars and 0 forks, indicating an active community.
feature-track is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to feature-track on Agent Skills Hub include mainline, kindly-web-search-mcp-server, agentfs-claude. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.