open-gsd/gsd-core
Git. Ship. Done - Core
Build with Backblaze B2
SDKs, agent skills, IDE extensions, and reference pipelines from Backblaze Labs. All open source.
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Where it stands
Rank, growth pace and release cadence relative to everything GStars tracks.
Ranks #22 among Web repositories ranked this week; #125 of 163 repositories with measured growth this week (top 77%).
5 releases in the last 90 days, the latest 3 days ago, with 177 contributors on GitHub.
Use Cases & Benefits
- Provides a spec-driven development framework that manages AI coding agents through a disciplined phase loop to maintain high-quality code generation.
- Prevents context rot by running heavy research and execution in fresh subagents, keeping the main session lean and output quality consistent.
- Use for orchestrating AI coding workflows that require iterative planning, execution, verification, and shipping phases to ensure reliable code delivery.
- Use for onboarding existing codebases to AI-driven development by structuring work into repeatable phases with shared memory artifacts.
- Use for building new projects with AI agents while maintaining context integrity and automated verification to reduce manual debugging.
Should you depend on it?
License terms, project hygiene and risks, from GitHub metadata and GStars' snapshots.
License
MIT
Permissive: commercial use, modification and redistribution are allowed with attribution.
Community files
- README: present
- Contributing guide: present
Watch-outs
No watch-outs from GStars' checks.
General guidance from repository metadata, not legal advice. How we score
From the README
A light-weight meta-prompting, context engineering, and spec-driven development system for Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more.
GSD Core is a context-engineering and spec-driven development framework that drives AI coding agents (Claude Code, Codex, Antigravity CLI, Kimi CLI, Copilot, Cursor, and more) through a disciplined phase loop. It solves context rot — the quality degradation that accumulates as an AI fills its context window — by running all heavy research, planning, and execution work in fresh-context subagents while keeping your main session lean.
Daily snapshots
Stars gained per day, and how forks and open issues moved, from GStars' daily snapshots
+3,158 stars over 87 days across 13 snapshot days; best day +25 on Sep 24.
Forks
816+248
Open issues
356+229
Compared with peers in Web
Fastest-growing repositories GStars tracks in this cohort for the week of Nov 8, by 7-day star growth
| Repository | Stars | +7d | Health | Last release |
|---|---|---|---|---|
| pingdotgg/t3code | 55.7K | +12.2K | 75 | today |
| pbakaus/impeccable | 107.6K | +6.1K | 75 | 1 day ago |
| meta/astryx | 22.8K | +4.8K | 75 | today |
| Renhuai123/ziwei-doushu | 17.5K | +3.7K | 75 | 26 days ago |
| ranxianglei/billion-context | 6.3K | +2.4K | 75 | 3 days ago |
| open-gsd/gsd-core | 11.4K | +242 | 60 | 3 days ago |
| Category median | 22.8K | +4.8K | 75 | — |
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