chore: initialize EverOS 1.0.0

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.

tests/unit/test_infra/test_lancedb/test_tables/test_content_sha256.py

@@ -0,0 +1,150 @@
+"""``content_sha256`` is a required field on every business lancedb table.
+
+Cascade handler (16 doc §3.3) diffs by this digest to skip no-op
+re-embeds. Every business schema — including ``agent_skill`` — declares
+the field; daily-log kinds hash a per-handler subset of inline +
+section keys, agent_skill hashes the file-level content-bearing parts.
+"""
+
+from __future__ import annotations
+
+import datetime as dt
+
+import pytest
+
+from everos.infra.persistence.lancedb import (
+    AgentCase,
+    AgentSkill,
+    AtomicFact,
+    Episode,
+    Foresight,
+)
+
+_VEC = [0.0] * 1024
+_NOW = dt.datetime(2026, 5, 14, 10, 0, 0, tzinfo=dt.UTC)
+_SHA = "f" * 64
+
+
+def _episode() -> Episode:
+    return Episode(
+        id="u1_ep_1",
+        entry_id="ep_20260514_0001",
+        owner_id="u1",
+        owner_type="user",
+        session_id="s1",
+        timestamp=_NOW,
+        parent_type="memcell",
+        parent_id="mc_1",
+        sender_ids=["u1"],
+        episode="hello world",
+        episode_tokens="hello world",
+        md_path="users/u1/episodes/episode-2026-05-14.md",
+        content_sha256=_SHA,
+        vector=_VEC,
+    )
+
+
+def _atomic_fact() -> AtomicFact:
+    return AtomicFact(
+        id="u1_af_1",
+        entry_id="af_20260514_0001",
+        owner_id="u1",
+        owner_type="user",
+        session_id="s1",
+        timestamp=_NOW,
+        parent_type="memcell",
+        parent_id="mc_1",
+        sender_ids=["u1"],
+        fact="x is y",
+        fact_tokens="x is y",
+        md_path="users/u1/.atomic_facts/atomic_fact-2026-05-14.md",
+        content_sha256=_SHA,
+        vector=_VEC,
+    )
+
+
+def _foresight() -> Foresight:
+    return Foresight(
+        id="u1_fs_1",
+        entry_id="fs_20260514_0001",
+        owner_id="u1",
+        owner_type="user",
+        session_id="s1",
+        timestamp=_NOW,
+        parent_type="memcell",
+        parent_id="mc_1",
+        sender_ids=["u1"],
+        foresight="user plans X",
+        foresight_tokens="user plans X",
+        md_path="users/u1/.foresights/foresight-2026-05-14.md",
+        content_sha256=_SHA,
+        vector=_VEC,
+    )
+
+
+def _agent_case() -> AgentCase:
+    return AgentCase(
+        id="a1_ac_1",
+        entry_id="ac_20260514_0001",
+        owner_id="a1",
+        owner_type="agent",
+        session_id="s1",
+        timestamp=_NOW,
+        parent_type="memcell",
+        parent_id="mc_1",
+        quality_score=0.9,
+        task_intent="scan contract",
+        task_intent_tokens="scan contract",
+        approach="step 1; step 2",
+        approach_tokens="step 1 step 2",
+        md_path="agents/a1/.cases/agent_case-2026-05-14.md",
+        content_sha256=_SHA,
+        vector=_VEC,
+    )
+
+
+def _agent_skill() -> AgentSkill:
+    return AgentSkill(
+        id="a1_demo_skill",
+        owner_id="a1",
+        owner_type="agent",
+        name="demo_skill",
+        description="just a demo",
+        description_tokens="just a demo",
+        content="body content",
+        content_tokens="body content",
+        confidence=0.7,
+        maturity_score=0.6,
+        source_case_ids=[],
+        md_path="agents/a1/agent_skills/demo_skill/SKILL.md",
+        content_sha256=_SHA,
+        vector=_VEC,
+    )
+
+
+@pytest.mark.parametrize(
+    "factory",
+    [_episode, _atomic_fact, _foresight, _agent_case, _agent_skill],
+    ids=["episode", "atomic_fact", "foresight", "agent_case", "agent_skill"],
+)
+def test_content_sha256_round_trip(factory) -> None:  # type: ignore[no-untyped-def]
+    row = factory()
+    assert row.content_sha256 == _SHA
+    dumped = row.model_dump()
+    assert dumped["content_sha256"] == _SHA
+    restored = type(row).model_validate(dumped)
+    assert restored.content_sha256 == _SHA
+
+
+@pytest.mark.parametrize(
+    "factory",
+    [_episode, _atomic_fact, _foresight, _agent_case, _agent_skill],
+    ids=["episode", "atomic_fact", "foresight", "agent_case", "agent_skill"],
+)
+def test_content_sha256_required(factory) -> None:  # type: ignore[no-untyped-def]
+    """Dropping content_sha256 from the kwargs surfaces a ValidationError."""
+    row = factory()
+    kwargs = row.model_dump()
+    del kwargs["content_sha256"]
+    with pytest.raises(Exception):  # noqa: B017,PT011
+        type(row).model_validate(kwargs)