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0.1.0-beta.1 — first beta: Tier 1 + Tier 2 + Tier 3

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@star-ga star-ga released this 17 May 13:26
· 180 commits to main since this release
v0.1.0-beta.1
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First beta. Closes Tier 1 + Tier 2 + Tier 3 of the locked Phase 2 + Phase 3 ship plan (docs/plans/FINAL_SHIP_PLAN_2026_05_17.md). The remaining v1.0.0 blockers are external (mindc 0.3.0 cdylib emit, mind-mem v4 cognitive kernel, ARM CI runner) and remain deferred.

Tier 1 — installer matrix expansion

  • Native Gemini CLI extension installer (--with-gemini).
  • Vibe MCP installer (--with-vibe).
  • Claw-family installers: --with-codeclaw, --with-cursorclaw, --with-graviton, --with-tirex, --with-claudeclaw.

Tier 1 — evidence-chain hardening

  • Verifier now rejects envelopes with zero request_hash (closes SOTA-track #2: input-fingerprinted attestation).

Tier 2 — adaptive window stride

  • Content-fingerprinted stride replaces the hard-coded stride=192 (closes SOTA-track #3). Calibrated thresholds in tools/calibrate_stride.py.

Tier 3 — Phase 3 scaffolds

  • Skill-marketplace adapter (design + stub interface).
  • Federated cross-host routing (typed-port design + stub).
  • mind-mem v4 cognitive-kernel binding spec (route-history as memory class).

Tier 3 — attestation cross-binding

  • Per-tensor weight manifest (TensorManifestEntry, TensorManifest, manifest_export()).
  • MindLLM cross-binding handshake spec — SHA-256 binding message + Ed25519 signature, 200-byte packed BindingRecord wire format with magic MNBA.
  • Spec is fully self-contained: external verifiers can implement it without any STARGA-internal toolchain.

Compatibility

  • Version bump 0.1.0a13 → 0.1.0b1.
  • New runtime dep: cryptography>=41.0 (Ed25519 operations).

Deferred (gated)

  • 18-backend cross-arch bit-identity — needs mindc 0.3.0 cdylib emit.
  • Native MIND inference replacing PyTorch — needs mindc 0.3.0.
  • p95 ≤ 30 ms on 4-core CPU + ARM — needs mindc 0.3.0 + ARM CI runner.
  • Russian intent classification ≥ 90% top-5 — compute-bound training run.
  • Native mind-train pipeline — standalone bring-up shippable; deep work continues in v0.3.0.
  • Per-head learned drop masks (SOTA-track #5) — depends on mind-train.

See CHANGELOG.md for the full diff.

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