Tom Boucher dd5a2211c9 enhance(#1964): semantic knowledge-base recall via MemPalace (keyword fallback) (#2416)
* test(#1964): add failing-first semantic-recall contract tests

Epic #1957 Phase 3C (final). Source-text-is-the-product contract tests:
semantic recall via MemPalace (top-k meaning-similar prior resolutions, catches
same-root-cause/different-wording cases), indexing resolved sessions at archive,
graceful degradation to keyword matching when MemPalace is absent,
knowledge-base.md stays the durable plain-text source of truth, agent Phase 0 /
Matching Logic is semantic-first (the stale 'keyword overlap, not semantic
similarity' claim must go), and no new embedding/vector infra (reuse MemPalace).

Failing-first: reference, the Matching Logic reframe, the Phase 0 consolidation,
and the archive indexing step do not yet exist.

* feat(#1964): semantic knowledge-base recall via MemPalace (keyword fallback)

Epic #1957 Phase 3C (FINAL). Replaces keyword-overlap matching with semantic
recall: at Phase 0 the debugger queries MemPalace with the current symptoms
and surfaces the top-k meaning-similar prior resolutions, catching the
same-root-cause/different-wording cases keyword overlap missed (the self-noted
'keyword overlap, not semantic similarity' limitation). Resolved sessions are
indexed into MemPalace at archive (symptoms + root_cause(s) + fix + recurrence
guard). knowledge-base.md remains the durable plain-text source of truth; when
MemPalace is absent the debugger falls back to keyword-overlap matching
(logged, never a silent skip). No new embedding/vector infrastructure —
MemPalace is reused.

Size-neutral agent edits: the Matching Logic section reframed (keyword-only ->
semantic-first + keyword-fallback + @-include); Phase 0's three keyword bullets
consolidated into one semantic-first bullet; one MemPalace-indexing step added
at archive. Agent at 57222 B (122 B headroom — final phase). Full rules in
gsd-core/references/debugger-semantic-recall.md. INVENTORY + manifest +
agent-size baseline + install-parity goldens + AGENTS.md updated.

* fix(#1964): address orthogonal review (invocation mechanism, index Resolution-not-symptoms + redaction, fallback detail)

- HIGH: the 'query MemPalace' instruction was WHAT-level only; the agent has
  no MCP tools. Added an Invocation section naming the Bash CLI
  (mempalace search --wing <wing>) + MCP-when-registered + wing resolution
  (config.mempalace.wing -> project_code -> project dir), matching every other
  MemPalace integration. Without this the feature silently degraded to keyword
  matching even when MemPalace was present.
- MEDIUM (security x2): index the agent-authored Resolution summary
  (root_cause + fix + recurrence_guard), NOT raw user-supplied Symptoms —
  excludes attacker-controlled prose from the cross-session index AND reduces
  secret/PII leakage. Redact secret-shaped values before indexing. Stated the
  write order (KB append + commit MUST succeed before indexing).
- LOW: restored 'identifiers' + 'case-insensitive' to the keyword fallback;
  added a test asserting the fallback mechanics survived the Phase 0
  consolidation (Error patterns field, 2+ token overlap, identifiers,
  case-insensitive).

* chore(#1964): ratchet agent-size baseline downward (leaner archive bullet shrank gsd-debugger.md 57222->57197)

* chore(#1964): backfill changeset pr number (PR #2416)
2026-07-18 19:01:04 -04:00

GSD Core

Git. Ship. Done.

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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.

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What is GSD Core

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.


How it works

Each milestone repeats the same five-step loop, one phase at a time:

  1. Discuss — capture implementation decisions before anything is planned
  2. Plan — research, decompose, and verify the plan fits a fresh context window
  3. Execute — run plans in parallel waves; each executor starts with a clean 200k-token context
  4. Verify — walk through what was built; diagnose and fix before declaring done
  5. Ship — create the PR, archive the phase, repeat for the next one

Quickstart

npx @opengsd/gsd-core@latest

The installer prompts for your runtime (Claude Code, OpenCode, Antigravity CLI, Kimi CLI, Kilo, Codex, Copilot, Cursor, Windsurf, and more) and whether to install globally or locally. The installer is required for cross-runtime compatibility — do not copy files from agents/ or commands/ directly.

On another runtime or without Node.js? See Install on your runtime.

Once installed, start a new project or onboard an existing repo:

/gsd-new-project   # greenfield project
/gsd-onboard       # existing codebase

New here? Follow Your first project for a guided walkthrough from install to first shipped phase, or Onboarding an existing codebase for brownfield setup.


Documentation

What's new in 1.7.0 → docs/whats-new-1.7.0.md

Tutorials — learning by doing:

How-to guides — task-focused recipes:

Reference — authoritative facts:

Explanation — concepts and design decisions:

Full index: docs/README.md. Other languages: 日本語 · 한국어 · Português · 简体中文.


Why it works

Most AI-coding setups fail at scale because context bloat silently degrades output quality, there is no shared memory between sessions, and nothing verifies that code actually works. GSD Core solves all three: heavy work runs in fresh subagents, structured artifacts like STATE.md and CONTEXT.md survive session boundaries, and the verify step walks through what was built and generates fix plans before a phase is declared done. See docs/explanation/context-engineering.md for the full reasoning.

Troubleshooting? See docs/how-to/recover-and-troubleshoot.md.


Community

Project Platform
gsd-opencode Original OpenCode port
Discord Community support

Star History

Star History Chart

License

MIT License. See LICENSE for details.


Claude Code is powerful. GSD Core makes it reliable.

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