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RecallLedger v0.1.0

RecallLedger v0.1.0 Pre-release
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@omar07ibrahim omar07ibrahim released this 10 Aug 09:45
v0.1.0
be88f28

RecallLedger v0.1.0 is the first portfolio-grade pre-release of a local-first, tenant-isolated memory ledger for AI assistants.

Highlights

  • Atomic tenant-scoped create, revise, tombstone, history, exact replay, and optimistic revision checks over a hardened SQLite boundary.
  • Canonical event links, deterministic lexical retrieval, and a fail-closed FTS5 candidate-equivalence audit.
  • Dependency-free installed operator CLI with canonical JSON/JSONL, explicit exit categories, paging, citations, and bounded input.
  • Real installed-wheel evidence: a complete ten-command transcript, five-phase GIF, source-bound diagrams, evaluation figures, exact media hashes, and adoption provenance.

Verified release contract

  • Exact source commit: be88f28690546eb2b6282749b099a8a16c278340
  • Python 3.11 and 3.12 CI; 100% branch coverage.
  • Installed-wheel media rebuilt twice byte-for-byte and matched against the adopted six-file evidence bundle.
  • SHA-pinned CodeQL v4.37.6 scanned both Actions and Python with security-extended; zero open code-scanning, dependency, or secret-scanning alerts at release.
  • Zero runtime dependencies; MIT licensed.

Evidence

Scope and non-claims

This is a pre-alpha Linux/POSIX release. Tenant identifiers are trusted caller context, not authentication. The FTS5 path is a correctness calibration gate, not a persistent serving index or latency benchmark. No network adapter, semantic model integration, or production authorization layer is claimed.

Build and verification instructions are pinned in the tagged README. No wheel is attached because this release only publishes artifacts independently verified by the repository gates; GitHub provides the exact tagged source archives.

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