md-first memory extraction framework for AI agents. Markdown is the single source of truth; SQLite holds state and LanceDB provides the rebuildable vector + BM25 + scalar index. The codebase follows a single-direction DDD layering (entrypoints -> service -> memory -> infra, with component / core / config cross-cutting) enforced by import-linter. Engineering surface: - Coding conventions in .claude/rules/ (path-scoped) and workflows in .claude/skills/ (/commit, /new-branch, /pr). - GitHub Actions CI runs make lint + test + integration; pre-commit mirrors the gates locally (ruff, hygiene hooks, gitlint commit-msg). - Commit messages follow Conventional Commits, enforced by gitlint. - make lint also enforces datetime two-zone discipline and OpenAPI drift.
36 lines
1.2 KiB
Markdown
36 lines
1.2 KiB
Markdown
---
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paths:
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- "src/everos/infra/**/*.py"
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- "src/everos/memory/**/*.py"
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- "src/everos/service/**/*.py"
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- "src/everos/component/**/*.py"
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- "src/everos/core/**/*.py"
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---
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# Module docstring rule
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Every non-trivial module in the domain/infra layers opens with a docstring that
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explains **intent and contract**, not just a one-line label.
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A good module docstring states:
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- **What** the module is responsible for (one sentence).
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- **The load-bearing invariants** — the rules a reader must know to change it
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safely (partition keys, what is/isn't written, defaults, ignored flags).
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- **External usage** when the module is a package facade (a short import example).
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Example (abbreviated, from `memory/search/manager.py`):
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```python
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"""SearchManager — top-level orchestrator for POST /api/v1/memory/search.
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Hard partition by owner_type: user → episodes (+ profiles), agent →
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agent_cases + agent_skills. The manager never writes to storage; it only
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reads LanceDB + markdown.
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"""
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```
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Prefer prose that would save the next engineer a debugging session over
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boilerplate. If a module is genuinely trivial (a 3-line constant), a one-liner
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is fine — but most modules here are not.
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