SDD Observatory
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Age
1 years
Last push
2 months ago
Latest release
v3.0.0 Jan 20, 2026
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Commits per week, last 12 months · 93 total

Metrics updated Jul 18, 2026 · collected automatically from the GitHub API

Core approach

Standards-first: extract the codebase's actual conventions into documented standards, inject the relevant ones into agent context on demand, and use them to shape specs. Version 3 deliberately retired its own task-breakdown and implementation orchestration, deferring to native tool features like Claude Code's plan mode.

Workflow

  1. /discover-standards — surface and document patterns from the codebase
  2. /index-standards — keep standards organized and discoverable
  3. /inject-standards — deploy relevant standards into any context: conversations, plans, skills
  4. /plan-product — establish product mission and planning docs
  5. /shape-spec — enhance plan mode with targeted questions informed by standards and mission; the resulting plan is saved to the Agent OS spec folder

Supported tools

Strengths

  • Lightweight and tool-agnostic — everything is Markdown, usable by any agent that reads files
  • Distinct niche: standards discovery and injection that complements modern plan modes instead of duplicating them
  • Profile system supports different stacks and teams, with standards syncing back to base profiles
  • Honest v3 philosophy — cut the features frontier tools now do better rather than accreting them

Limitations

  • Effectively a single-maintainer project (Brian Casel / Builder Methods)
  • Least active of the tracked frameworks — no release since v3.0.0 in January 2026
  • No longer covers implementation or orchestration, so it depends on external tools to complete the SDD loop
  • Smallest community of the tracked frameworks, with an adopter base that skews to small personal repos

Notes

Agent OS is the contrarian entry: where other frameworks add process, v3 removed it. Its thesis is that plan modes in frontier tools already do task breakdown well, and what they lack is knowledge of your codebase’s conventions — so that is the only problem it tries to solve. Whether a deliberately narrow, single-maintainer tool can hold its niche as agent platforms absorb more of the workflow is exactly the kind of question this observatory exists to watch.

Added Jul 18, 2026 · Assessment last reviewed Jul 18, 2026 · How we track