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Releases: gmickel/gno

v1.12.0

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@github-actions github-actions released this 16 Jun 10:44

Added

  • Added Hermes Agent as a first-class gno skill install --target hermes
    target, including --target all, uninstall, path inspection, and connector
    status support.

v1.11.0

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@github-actions github-actions released this 06 Jun 20:17

Added

  • Added packaged agent recipes for brain-first lookup, capture, meeting
    ingestion, email context, source summaries, idea capture, and citation
    discipline, with recursive gno skill show support and updated docs.

v1.10.1

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@github-actions github-actions released this 06 Jun 12:48

Fixed

  • Added a directory-lock fallback for platforms without lockf or flock, so
    capture writes and MCP write tools work on Windows.

v1.10.0

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@github-actions github-actions released this 06 Jun 12:38

Added

  • Added typed doc_edges with frontmatter relations: and active
    contentTypes[].graphHints projection metadata.
  • Added bounded typed graph traversal through gno graph query, REST
    /api/graph/query, and MCP gno_graph_query.
  • Added targeted retrieval diagnostics through gno query diagnose --target,
    REST /api/query/diagnose, and MCP gno_query_diagnose.
  • Added --edge-type / --relation filters to gno links and
    gno backlinks for semantic relationship queries.

v1.9.0

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@github-actions github-actions released this 05 Jun 21:46

Added

  • Added second-brain note presets for original ideas, people,
    company/projects, and meetings, using flat preset frontmatter and a
    synthesis/timeline page pattern across capture surfaces.
  • Added optional contentTypes config for schema-lite second-brain typing,
    warning-based rule normalization, and canonical contentType exposure in
    JSON search/query results.
  • Updated repo docs, hosted docs, and bundled agent skill references for typed
    presets, synthesis/timeline pages, and content-type search metadata.

v1.8.0

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@github-actions github-actions released this 05 Jun 08:18

Added

  • Added gno capture for second-brain note capture from inline text, stdin, or
    files, with provenance frontmatter, tags, presets, JSON receipts, and quiet URI
    output.
  • Added shared capture support across REST /api/capture, SDK
    client.capture(), MCP gno_capture, and Web UI Quick Capture, including
    parity tests and structured capture receipt schemas.

Changed

  • Hardened capture writes with shared runtime validation, text-only input checks,
    disk-aware collision planning, exclusive create semantics, and MCP-only legacy
    overwrite handling.
  • Updated GNO docs, specs, website sync, and bundled agent skill references for
    capture provenance behavior.

v1.7.1

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@github-actions github-actions released this 29 May 23:31

Changed

  • Made query-time graph expansion opt-in with gno query --graph and
    graph: true for API/MCP callers, keeping default hybrid queries on the
    faster BM25/vector/rerank path.

v1.7.0

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@github-actions github-actions released this 26 May 14:04

Added

  • Added gno doctor embedding fingerprint diagnostics for current freshness
    fingerprint, pending/stale chunks, legacy vectors, and mixed stored
    fingerprint groups.

v1.6.0

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@github-actions github-actions released this 25 May 18:46

Changed

  • Improved CPU embedding throughput defaults by using at most two native
    embedding contexts automatically, keeping low-memory Windows systems on a
    single context, and preserving GNO_EMBED_CONTEXTS=4 as an explicit
    benchmark-driven override.

Added

  • Added a CPU embedding autoresearch benchmark script for comparing context pool
    variants with synthetic scheduler checks or real cached/downloaded GGUF
    embedding runs, and validating the Windows memory heuristic.
  • Added a native embedding batch probe that verifies whether node-llama-cpp can
    retrieve distinct embeddings from multi-sequence native batches.

v1.5.2

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@github-actions github-actions released this 25 May 07:19

Fixed

  • Hardened local model backend startup on Windows by making node-llama-cpp
    source builds opt-in, timing out backend initialization, retrying CPU when
    automatic backend selection fails, and capping CPU embedding contexts on
    low-memory Windows machines.