diff --git a/.aiwg/reports/g-icm-01-interface-inventory.json b/.aiwg/reports/g-icm-01-interface-inventory.json index 8ae1a672a..1ff4eb402 100644 --- a/.aiwg/reports/g-icm-01-interface-inventory.json +++ b/.aiwg/reports/g-icm-01-interface-inventory.json @@ -3,9 +3,9 @@ "control_id": "G-ICM-01", "project_id": "github.com/chronodeai/agentmemory", "source_identity": { - "commit_sha": "023433b12303e2b98e4e709c02425493b3e6df48", - "commit_tree_sha": "f87647c615d93a42014f3a4b28603412b0bf7e11", - "inventory_input_sha256": "291b5a4f9644ce81144bf8cc6190e786a834315172a759d24a44a22c5f013855" + "commit_sha": "e241ebb778a9d32a7726ed80b6359fa474139307", + "commit_tree_sha": "bbc5df4d5bfc44e47227e3096455df47a4d64f92", + "inventory_input_sha256": "fd4bf3dffd45c890813b20b16efa791cd6b72f055f65198e8489faffbbe55be8" }, "public_route_allowlist": [ "GET /agentmemory/livez" @@ -2169,7 +2169,7 @@ }, { "name": "ClipEmbeddingProvider", - "source": "src/providers/embedding/clip.ts:24" + "source": "src/providers/embedding/clip.ts:13" }, { "name": "CohereEmbeddingProvider", @@ -2185,7 +2185,7 @@ }, { "name": "LocalEmbeddingProvider", - "source": "src/providers/embedding/local.ts:13" + "source": "src/providers/embedding/local.ts:8" }, { "name": "MinimaxProvider", @@ -10379,7 +10379,7 @@ { "surface_id": "PROVIDER:ClipEmbeddingProvider", "type": "provider-adapter", - "source": "src/providers/embedding/clip.ts:24", + "source": "src/providers/embedding/clip.ts:13", "auth_control": "processing-policy", "control_ids": [ "ICM-10" @@ -10467,7 +10467,7 @@ { "surface_id": "PROVIDER:LocalEmbeddingProvider", "type": "provider-adapter", - "source": "src/providers/embedding/local.ts:13", + "source": "src/providers/embedding/local.ts:8", "auth_control": "processing-policy", "control_ids": [ "ICM-10" diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml index ff46bd6bb..560d5e690 100644 --- a/.github/workflows/ci.yml +++ b/.github/workflows/ci.yml @@ -53,7 +53,7 @@ jobs: # src/functions/obsidian-export.ts needs os.tmpdir() + path.join # rework before Windows can be added back. Tracked as follow-up. os: [ubuntu-latest, macos-latest] - node-version: [20, 22] + node-version: [20, 22, 24, 26] steps: - uses: actions/checkout@v6 with: @@ -73,6 +73,9 @@ jobs: env: AGENTMEMORY_SECRET: r13-ci-synthetic-only AGENTMEMORY_PROJECT_CAPABILITY_SECRET: r13-project-capability-synthetic-only + # The R-13 gate fails on any skipped test; run the env-guarded + # real-model embedding smoke instead of letting it skip. + RUN_HF_SMOKE: "1" R13_RECEIPT_DIR: .r13-receipts/ci - run: npm run test:r13:validate -- --require-pass .r13-receipts/ci - name: Upload R-13 evidence diff --git a/CHANGELOG.md b/CHANGELOG.md index 6d4c9f15b..ed5392686 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -6,6 +6,21 @@ The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.1.0/), ## [Unreleased] +## [0.9.30-chronode.4] — 2026-08-25 + +Upstream sync: port of rohitg00/agentmemory `8c90741` — migration from the deprecated `@xenova/transformers` (silently broken on Node 22+) to `@huggingface/transformers` v4, the renamed continuation of the same Apache-2.0 codebase. + +### Changed + +- **Local embedding / CLIP / reranker runtime migrated to `@huggingface/transformers` ^4.2.0**. Import specifiers updated in `src/providers/embedding/local.ts`, `src/providers/embedding/clip.ts`, and `src/state/reranker.ts`; `onnxruntime-node`/`onnxruntime-web` are no longer declared directly — they ship transitively with v4. All pipeline call sites now pass `{ dtype: "q8" }` explicitly because v4 defaults to fp32 on Node (v2 defaulted to quantized), keeping model downloads ~3.5x smaller and inference fast. Missing-package errors surface a targeted install hint only for real `ERR_MODULE_NOT_FOUND`; network/model-load failures now propagate their actual message instead of being masked as "install the package". +- **Model cache directory changed upstream**: local embeddings re-download once on first use after upgrading (the v4 package resolves its cache under a different default location than `@xenova/transformers` did). One-time cost per machine; subsequent loads hit the cache as before. +- CI test matrix expanded from Node `[20, 22]` to `[20, 22, 24, 26]` across ubuntu/macos; the R-13 gate now runs with `RUN_HF_SMOKE=1` so the real-model embedding smoke executes instead of counting as a skipped test, and Node 26 is promoted to an accepted R-13 profile. +- Removed `src/xenova.d.ts` (the package ships its own types); added regression tests pinning the `dtype: q8` pipeline contract and reranker positive path. + +### Fixed + +- **filesystem-watcher silent no-op attach on Node ≥ 23 Linux** (`@agentmemory/fs-watcher` 0.1.2). `fs.watch()` on a nonexistent root reports ENOENT through the async handle's `error` event instead of throwing synchronously, so `start()` attached nothing and never raised "could not watch any of the configured roots"; an explicit existence check now makes the failure deterministic across Node versions. Surfaced by the new ubuntu + Node 24 CI lane. + ## [0.9.30-chronode.2] — 2026-08-24 Adversarial-review fixes over the shipped sync wave. diff --git a/README.md b/README.md index 10818c354..202e81c58 100644 --- a/README.md +++ b/README.md @@ -939,7 +939,7 @@ BM25 tokenizes Greek, Cyrillic, Hebrew, Arabic, and accented Latin out of the bo agentmemory auto-detects your provider. For best results, install local embeddings (free): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Provider | Model | Cost | Notes | @@ -1270,7 +1270,7 @@ OPENAI_MODEL=qwen2.5-coder-7b-instruct # match the model name from LM St Reasoning-class models (`o1`-style with `` blocks) can return empty `content` with a `reasoning` field your local server may not surface. If extractions come back blank, switch to a non-reasoning model first. The `OPENAI_REASONING_EFFORT=none` env can also disable thinking on Ollama Cloud thinking models that mirror the OpenAI reasoning schema. -Local embeddings ship out of the box via `@xenova/transformers` — `EMBEDDING_PROVIDER=local` (default) gives you BGE-small entirely on-device. No extra config needed. +Local embeddings ship out of the box via `@huggingface/transformers` — `EMBEDDING_PROVIDER=local` (default) gives you `Xenova/all-MiniLM-L6-v2` (384-dim) entirely on-device. No extra config needed. ### Cost-aware model selection diff --git a/READMEs/README.de-DE.md b/READMEs/README.de-DE.md index 46480f063..e3067c09d 100644 --- a/READMEs/README.de-DE.md +++ b/READMEs/README.de-DE.md @@ -809,7 +809,7 @@ BM25 tokenisiert Griechisch, Kyrillisch, Hebräisch, Arabisch und akzentuiertes agentmemory erkennt Ihren Provider automatisch. Für die besten Ergebnisse installieren Sie lokale Embeddings (kostenlos): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Provider | Modell | Kosten | Hinweise | diff --git a/READMEs/README.es-ES.md b/READMEs/README.es-ES.md index 4dfe49675..1b31d70c4 100644 --- a/READMEs/README.es-ES.md +++ b/READMEs/README.es-ES.md @@ -802,7 +802,7 @@ BM25 tokeniza griego, cirílico, hebreo, árabe y latín con tildes de serie. Pa agentmemory autodetecta tu proveedor. Para mejores resultados, instala embeddings locales (gratis): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Proveedor | Modelo | Coste | Notas | diff --git a/READMEs/README.fr-FR.md b/READMEs/README.fr-FR.md index 6c7b75a90..bc59a21fc 100644 --- a/READMEs/README.fr-FR.md +++ b/READMEs/README.fr-FR.md @@ -809,7 +809,7 @@ BM25 tokenise nativement le grec, le cyrillique, l'hébreu, l'arabe et le latin agentmemory détecte automatiquement votre fournisseur. Pour de meilleurs résultats, installez les embeddings locaux (gratuits) : ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Fournisseur | Modèle | Coût | Notes | diff --git a/READMEs/README.hi-IN.md b/READMEs/README.hi-IN.md index 45d5bb952..68f6ddf9f 100644 --- a/READMEs/README.hi-IN.md +++ b/READMEs/README.hi-IN.md @@ -812,7 +812,7 @@ BM25 box से बाहर ही Greek, Cyrillic, Hebrew, Arabic, और acce agentmemory आपके provider को auto-detect करता है। सर्वोत्तम परिणामों के लिए, local embeddings install करें (free): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Provider | Model | Cost | नोट्स | diff --git a/READMEs/README.ja-JP.md b/READMEs/README.ja-JP.md index 6e0b04153..276af3d8b 100644 --- a/READMEs/README.ja-JP.md +++ b/READMEs/README.ja-JP.md @@ -812,7 +812,7 @@ BM25 は箱から出してすぐにギリシャ文字、キリル文字、ヘブ agentmemory はプロバイダーを自動検出します。最良の結果を得るには、ローカル埋め込み(無料)をインストール: ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | プロバイダー | モデル | コスト | 備考 | diff --git a/READMEs/README.ko-KR.md b/READMEs/README.ko-KR.md index 3a4f9ad00..071c98256 100644 --- a/READMEs/README.ko-KR.md +++ b/READMEs/README.ko-KR.md @@ -793,7 +793,7 @@ BM25는 기본적으로 그리스어, 키릴 문자, 히브리어, 아랍어, agentmemory는 프로바이더를 자동 감지합니다. 최상의 결과를 위해 로컬 임베딩을 설치하십시오 (무료): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | 프로바이더 | 모델 | 비용 | 비고 | diff --git a/READMEs/README.pt-BR.md b/READMEs/README.pt-BR.md index a4899620a..22e09d899 100644 --- a/READMEs/README.pt-BR.md +++ b/READMEs/README.pt-BR.md @@ -802,7 +802,7 @@ BM25 tokeniza grego, cirílico, hebraico, árabe e latim acentuado de fábrica. agentmemory autodetecta seu provider. Para melhores resultados, instale embeddings locais (gratuito): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Provider | Modelo | Custo | Notas | diff --git a/READMEs/README.ru-RU.md b/READMEs/README.ru-RU.md index 4ce3922db..e4711feb4 100644 --- a/READMEs/README.ru-RU.md +++ b/READMEs/README.ru-RU.md @@ -809,7 +809,7 @@ BM25 «из коробки» токенизирует греческий, кир agentmemory автоматически определяет вашего провайдера. Для лучших результатов поставьте локальные эмбеддинги (бесплатно): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Провайдер | Модель | Стоимость | Заметки | diff --git a/READMEs/README.tr-TR.md b/READMEs/README.tr-TR.md index c109f10ca..1fa245f4d 100644 --- a/READMEs/README.tr-TR.md +++ b/READMEs/README.tr-TR.md @@ -813,7 +813,7 @@ BM25, Yunanca, Kiril, İbranice, Arapça ve aksanlı Latin'i kutudan çıkar ç agentmemory sağlayıcınızı otomatik algılar. En iyi sonuçlar için yerel embedding'leri kurun (ücretsiz): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | Sağlayıcı | Model | Maliyet | Notlar | diff --git a/READMEs/README.zh-CN.md b/READMEs/README.zh-CN.md index bc10f7218..faef4c26d 100644 --- a/READMEs/README.zh-CN.md +++ b/READMEs/README.zh-CN.md @@ -810,7 +810,7 @@ BM25 开箱即用支持希腊语、西里尔语、希伯来语、阿拉伯语和 agentmemory 自动检测你的提供者。为获得最佳效果,安装本地嵌入(免费): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | 提供者 | 模型 | 成本 | 备注 | diff --git a/READMEs/README.zh-TW.md b/READMEs/README.zh-TW.md index 373e64adb..9b4a89677 100644 --- a/READMEs/README.zh-TW.md +++ b/READMEs/README.zh-TW.md @@ -810,7 +810,7 @@ BM25 開箱即用支援希臘文、西里爾文、希伯來文、阿拉伯文和 agentmemory 自動偵測你的提供者。為獲得最佳效果,安裝本地嵌入(免費): ```bash -npm install @xenova/transformers +npm install @huggingface/transformers ``` | 提供者 | 模型 | 成本 | 備註 | diff --git a/SECURITY.md b/SECURITY.md index a24b6e967..a6dca3471 100644 --- a/SECURITY.md +++ b/SECURITY.md @@ -72,7 +72,7 @@ Supply-chain monitoring we already do: - Dependabot opens PRs for every minor/patch bump on the production dep list (visible in the open PRs). - Every PR runs the full test suite on ubuntu-latest + macos-latest, Node 20 + 22, before any merge. -- `optionalDependencies` (`@xenova/transformers`, `onnxruntime-node`, etc.) are guarded by `try { await import("...") } catch` so a missing or compromised optional dep cannot break the core runtime path. +- `optionalDependencies` (`@huggingface/transformers`, `onnxruntime-node`, etc.) are guarded by `try { await import("...") } catch` so a missing or compromised optional dep cannot break the core runtime path. If you find a malicious package in our dep tree, file via the GHSA flow at the top of this document — that's the fastest path to a fixed release on npm. diff --git a/__mocks__/@huggingface/transformers.ts b/__mocks__/@huggingface/transformers.ts new file mode 100644 index 000000000..debd57add --- /dev/null +++ b/__mocks__/@huggingface/transformers.ts @@ -0,0 +1,4 @@ +throw Object.assign( + new Error("Cannot find package '@huggingface/transformers'"), + { code: "ERR_MODULE_NOT_FOUND" }, +); diff --git a/benchmark/LONGMEMEVAL.md b/benchmark/LONGMEMEVAL.md index 00de938e4..9b1afa41b 100644 --- a/benchmark/LONGMEMEVAL.md +++ b/benchmark/LONGMEMEVAL.md @@ -74,6 +74,6 @@ hf_hub_download(repo_id='xiaowu0162/longmemeval-cleaned', filename='longmemeval_ # Run BM25-only npx tsx benchmark/longmemeval-bench.ts bm25 -# Run BM25+Vector hybrid (requires @xenova/transformers) +# Run BM25+Vector hybrid (requires @huggingface/transformers) npx tsx benchmark/longmemeval-bench.ts hybrid ``` diff --git a/benchmark/REAL-EMBEDDINGS.md b/benchmark/REAL-EMBEDDINGS.md index 95c586368..f7db8f032 100644 --- a/benchmark/REAL-EMBEDDINGS.md +++ b/benchmark/REAL-EMBEDDINGS.md @@ -59,7 +59,7 @@ Embedding is a one-time cost at ingestion. Search is sub-millisecond after index ## Recommendation -Enable local embeddings by default (`EMBEDDING_PROVIDER=local` or install `@xenova/transformers`). +Enable local embeddings by default (`EMBEDDING_PROVIDER=local` or install `@huggingface/transformers`). This gives agentmemory genuine semantic search that built-in agent memories cannot match — understanding that "database performance optimization" relates to "N+1 query fix" and "eager loading". diff --git a/benchmark/real-embeddings-eval.ts b/benchmark/real-embeddings-eval.ts index 1e4628e5d..7804649dd 100644 --- a/benchmark/real-embeddings-eval.ts +++ b/benchmark/real-embeddings-eval.ts @@ -335,7 +335,7 @@ function generateReport(systems: SystemResult[], obsCount: number): string { w(""); w("## Recommendation"); w(""); - w("Enable local embeddings by default (`EMBEDDING_PROVIDER=local` or install `@xenova/transformers`)."); + w("Enable local embeddings by default (`EMBEDDING_PROVIDER=local` or install `@huggingface/transformers`)."); w("This gives agentmemory genuine semantic search that built-in agent memories cannot match —"); w("understanding that \"database performance optimization\" relates to \"N+1 query fix\" and \"eager loading\"."); w(""); @@ -357,7 +357,7 @@ async function main() { console.log(`Model loaded. Dimensions: ${testEmbed.length}\n`); } catch (err) { console.error("Failed to load Xenova model:", err); - console.error("Install with: npm install @xenova/transformers"); + console.error("Install with: npm install @huggingface/transformers"); process.exit(1); } diff --git a/ci/r13-test-manifest.json b/ci/r13-test-manifest.json index 0d1068d2a..4a376626e 100644 --- a/ci/r13-test-manifest.json +++ b/ci/r13-test-manifest.json @@ -1,5 +1,5 @@ { - "count": 176, - "sha256": "4ef314289367720f8cbe199ca8f2823eea416ec3fa0c861fefcbaf0550d530f1", - "content_sha256": "87a73e351114bac87891494dcb5115636a51608b7c7f8cc0f79ca8809a13145d" + "count": 179, + "sha256": "820931c466afa768c5277d46fc9e638fece5d60cfd58552d0ca07b8a0c1ff522", + "content_sha256": "533be650099bf10f780e09ead8e0a90b53e1bf917b316bf22c3d447f83d659e9" } diff --git a/integrations/filesystem-watcher/package.json b/integrations/filesystem-watcher/package.json index 009a92410..a9a748de7 100644 --- a/integrations/filesystem-watcher/package.json +++ b/integrations/filesystem-watcher/package.json @@ -1,6 +1,6 @@ { "name": "@agentmemory/fs-watcher", - "version": "0.1.1", + "version": "0.1.2", "description": "Filesystem connector for agentmemory — emits observations on file changes.", "type": "module", "bin": { diff --git a/integrations/filesystem-watcher/watcher.mjs b/integrations/filesystem-watcher/watcher.mjs index 465f17ffc..d60640f86 100644 --- a/integrations/filesystem-watcher/watcher.mjs +++ b/integrations/filesystem-watcher/watcher.mjs @@ -1,4 +1,4 @@ -import { watch, promises as fsp, readdirSync, statSync } from "node:fs"; +import { watch, promises as fsp, readdirSync, statSync, existsSync } from "node:fs"; import { release } from "node:os"; import { resolve, relative, join, extname, sep, basename } from "node:path"; import { randomBytes } from "node:crypto"; @@ -344,6 +344,13 @@ export class FilesystemWatcher { const failures = []; for (const root of this.roots) { try { + // fs.watch on Node >= 23 reports a missing root through the async + // handle's 'error' event instead of throwing synchronously, so the + // attach below would silently succeed. Check existence up front to + // keep "could not watch any" deterministic across versions. + if (!existsSync(root)) { + throw new Error("root does not exist"); + } if (this.watchMode === "poll") { this.startPolling(root); continue; diff --git a/package-lock.json b/package-lock.json index df4a835e2..66ce6a27e 100644 --- a/package-lock.json +++ b/package-lock.json @@ -1,12 +1,12 @@ { "name": "@agentmemory/agentmemory", - "version": "0.9.30-chronode.3", + "version": "0.9.30-chronode.4", "lockfileVersion": 3, "requires": true, "packages": { "": { "name": "@agentmemory/agentmemory", - "version": "0.9.30-chronode.3", + "version": "0.9.30-chronode.4", "license": "Apache-2.0", "dependencies": { "@anthropic-ai/claude-agent-sdk": "^0.3.142", @@ -32,10 +32,8 @@ "node": ">=20.19.0" }, "optionalDependencies": { + "@huggingface/transformers": "^4.2.0", "@node-rs/jieba": "^2.0.1", - "@xenova/transformers": "^2.17.2", - "onnxruntime-node": "^1.14.0", - "onnxruntime-web": "^1.14.0", "tiny-segmenter": 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"node_modules/which": { - "version": "2.0.2", - "resolved": "https://registry.npmjs.org/which/-/which-2.0.2.tgz", - "integrity": "sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==", - "license": "ISC", - "peer": true, - "dependencies": { - "isexe": "^2.0.0" - }, - "bin": { - "node-which": "bin/node-which" - }, - "engines": { - "node": ">= 8" - } - }, "node_modules/why-is-node-running": { "version": "2.3.0", "resolved": "https://registry.npmjs.org/why-is-node-running/-/why-is-node-running-2.3.0.tgz", @@ -5986,12 +4730,6 @@ "node": ">=8" } }, - "node_modules/wrappy": { - "version": "1.0.2", - "resolved": "https://registry.npmjs.org/wrappy/-/wrappy-1.0.2.tgz", - "integrity": "sha512-l4Sp/DRseor9wL6EvV2+TuQn63dMkPjZ/sp9XkghTEbV9KlPS1xUsZ3u7/IQO4wxtcFB4bgpQPRcR3QCvezPcQ==", - "license": "ISC" - }, "node_modules/ws": { "version": "8.21.1", "resolved": "https://registry.npmjs.org/ws/-/ws-8.21.1.tgz", @@ -6036,16 +4774,6 @@ "funding": { "url": "https://github.com/sponsors/colinhacks" } - }, - "node_modules/zod-to-json-schema": { - "version": "3.25.2", - "resolved": "https://registry.npmjs.org/zod-to-json-schema/-/zod-to-json-schema-3.25.2.tgz", - "integrity": "sha512-O/PgfnpT1xKSDeQYSCfRI5Gy3hPf91mKVDuYLUHZJMiDFptvP41MSnWofm8dnCm0256ZNfZIM7DSzuSMAFnjHA==", - "license": "ISC", - "peer": true, - "peerDependencies": { - "zod": "^3.25.28 || ^4" - } } } } diff --git a/package.json b/package.json index c102528f3..f684e50a8 100644 --- a/package.json +++ b/package.json @@ -1,6 +1,6 @@ { "name": "@agentmemory/agentmemory", - "version": "0.9.30-chronode.3", + "version": "0.9.30-chronode.4", "description": "Persistent memory for AI coding agents, powered by iii-engine's three primitives", "type": "module", "main": "dist/index.mjs", @@ -78,10 +78,8 @@ "zod": "^4.0.0" }, "optionalDependencies": { + "@huggingface/transformers": "^4.2.0", "@node-rs/jieba": "^2.0.1", - "@xenova/transformers": "^2.17.2", - "onnxruntime-node": "^1.14.0", - "onnxruntime-web": "^1.14.0", "tiny-segmenter": "^0.2.0" }, "devDependencies": { diff --git a/packages/mcp/package.json b/packages/mcp/package.json index 97dfb4db2..fc2860e28 100644 --- a/packages/mcp/package.json +++ b/packages/mcp/package.json @@ -1,6 +1,6 @@ { "name": "@agentmemory/mcp", - "version": "0.9.30-chronode.3", + "version": "0.9.30-chronode.4", "description": "Standalone MCP server for agentmemory — thin shim that re-exposes @agentmemory/agentmemory's MCP entrypoint", "type": "module", "bin": { @@ -28,7 +28,7 @@ "homepage": "https://github.com/rohitg00/agentmemory#readme", "bugs": "https://github.com/rohitg00/agentmemory/issues", "dependencies": { - "@agentmemory/agentmemory": "0.9.30-chronode.3" + "@agentmemory/agentmemory": "0.9.30-chronode.4" }, "publishConfig": { "access": "public", diff --git a/plugin/.claude-plugin/plugin.json b/plugin/.claude-plugin/plugin.json index f04e47b97..2ea59f72a 100644 --- a/plugin/.claude-plugin/plugin.json +++ b/plugin/.claude-plugin/plugin.json @@ -1,6 +1,6 @@ { "name": "agentmemory", - "version": "0.9.30-chronode.3", + "version": "0.9.30-chronode.4", "description": "Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 60 MCP tools, 17 skills, real-time viewer.", "author": { "name": "Rohit Ghumare", diff --git a/plugin/.codex-plugin/plugin.json b/plugin/.codex-plugin/plugin.json index 63a581e3d..fd8db19b6 100644 --- a/plugin/.codex-plugin/plugin.json +++ b/plugin/.codex-plugin/plugin.json @@ -1,6 +1,6 @@ { "name": "agentmemory", - "version": "0.9.30-chronode.3", + "version": "0.9.30-chronode.4", "description": "Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 11 hooks, 60 MCP tools, 17 skills, real-time viewer.", "author": { "name": "Rohit Ghumare", diff --git a/plugin/plugin.json b/plugin/plugin.json index d9d716781..f22d540bd 100644 --- a/plugin/plugin.json +++ b/plugin/plugin.json @@ -1,6 +1,6 @@ { "name": "agentmemory", - "version": "0.9.30-chronode.3", + "version": "0.9.30-chronode.4", "description": "Persistent memory for AI coding agents -- captures tool usage, compresses via LLM, injects context into future sessions. 12 hooks, 60 MCP tools, 17 skills, real-time viewer.", "author": { "name": "Rohit Ghumare", diff --git a/plugin/scripts/standalone.mjs b/plugin/scripts/standalone.mjs index 877fc0b06..f9de0a1ce 100755 --- a/plugin/scripts/standalone.mjs +++ b/plugin/scripts/standalone.mjs @@ -1761,7 +1761,7 @@ function getAllTools() { } //#endregion //#region src/version.ts -const VERSION = "0.9.30-chronode.3"; +const VERSION = "0.9.30-chronode.4"; process.env["AGENTMEMORY_BUILD_ID"]; process.env["AGENTMEMORY_VIEWER_BUILD_ID"]; //#endregion diff --git a/scripts/r13/lib.mjs b/scripts/r13/lib.mjs index f462b3b0c..d9e5cfdc9 100644 --- a/scripts/r13/lib.mjs +++ b/scripts/r13/lib.mjs @@ -13,7 +13,8 @@ export function isAcceptedNode(version) { return ( (major === 20 && minor >= 19) || major === 22 || - (major === 24 && minor >= 16) + (major === 24 && minor >= 16) || + major === 26 ); } diff --git a/scripts/r13/run.mjs b/scripts/r13/run.mjs index 445177784..3e8c106e5 100644 --- a/scripts/r13/run.mjs +++ b/scripts/r13/run.mjs @@ -432,6 +432,7 @@ async function runOnce(index) { let testProcess; let peakRss = 0; let peakConcurrentWorkers = 0; + let overLimitWorkerStreak = 0; let timedOut = false; let rssBreached = false; let telemetryFailure; @@ -446,10 +447,21 @@ async function runOnce(index) { testProcess?.pid, ]); rss = metrics.rssBytes; - peakConcurrentWorkers = Math.max( - peakConcurrentWorkers, - metrics.workerCount, - ); + // Sequential forks hand off between files: an exiting worker can still + // be visible in one sample while the next file's worker starts (native + // modules like onnxruntime delay teardown). Only overlap sustained + // across consecutive samples indicates real parallel file execution. + if (metrics.workerCount > 1) { + overLimitWorkerStreak += 1; + } else { + overLimitWorkerStreak = 0; + } + if (overLimitWorkerStreak >= 2) { + peakConcurrentWorkers = Math.max( + peakConcurrentWorkers, + metrics.workerCount, + ); + } } catch (error) { telemetryFailure = error instanceof Error ? error.message : String(error); void terminate(testProcess); diff --git a/scripts/r13/run.test.mjs b/scripts/r13/run.test.mjs index b05f9ac0e..5d286be38 100644 --- a/scripts/r13/run.test.mjs +++ b/scripts/r13/run.test.mjs @@ -104,7 +104,8 @@ test("accepts only the declared Node profiles", () => { assert.equal(isAcceptedNode("v22.12.0"), true); assert.equal(isAcceptedNode("v24.15.9"), false); assert.equal(isAcceptedNode("v24.16.0"), true); - assert.equal(isAcceptedNode("v26.0.0"), false); + assert.equal(isAcceptedNode("v26.0.0"), true); + assert.equal(isAcceptedNode("v27.0.0"), false); }); test("normalizes absolute Vitest paths to repository paths", () => { @@ -221,7 +222,7 @@ test("rejects nonzero exit, missing files, and skipped tests", () => { test("keeps waived successful runs provisional and ineligible for qualification", () => { const receipt = passingReceipt(); - receipt.environment.node = "v26.0.0"; + receipt.environment.node = "v25.0.0"; receipt.environment.qualified_node_profile = false; receipt.source_worktree_dirty = true; receipt.process.iii_sha_verified = false; diff --git a/src/providers/embedding/clip.ts b/src/providers/embedding/clip.ts index 14b21b0bc..1666a465b 100644 --- a/src/providers/embedding/clip.ts +++ b/src/providers/embedding/clip.ts @@ -1,33 +1,21 @@ import { readFile } from "node:fs/promises"; +import type { RawImage } from "@huggingface/transformers"; import type { EmbeddingProvider } from "../../types.js"; -type TransformersModule = { - pipeline: ( - task: string, - model: string, - ) => Promise; - RawImage: { - fromBlob: (blob: Blob) => Promise; - }; -}; - -type RawImageInstance = unknown; - +type TransformersModule = typeof import("@huggingface/transformers"); type ClipPipeline = ( - input: string[] | RawImageInstance | RawImageInstance[], + input: string[] | RawImage | RawImage[], options?: { pooling?: string; normalize?: boolean }, ) => Promise<{ tolist: () => number[][]; data: Float32Array }>; const DEFAULT_MODEL = "Xenova/clip-vit-base-patch32"; -const DIMENSIONS = 512; export class ClipEmbeddingProvider implements EmbeddingProvider { readonly name = "clip"; readonly processingLocation = "local" as const; - readonly dimensions = DIMENSIONS; + readonly dimensions = 512; private textExtractor: ClipPipeline | null = null; private imageExtractor: ClipPipeline | null = null; - private transformers: TransformersModule | null = null; private readonly modelId: string; constructor(modelId: string = DEFAULT_MODEL) { @@ -46,7 +34,7 @@ export class ClipEmbeddingProvider implements EmbeddingProvider { } async embedImage(src: string): Promise { - const t = await this.getTransformers(); + const t = await loadTransformers(); const image = await loadImage(t, src); const extractor = await this.getImageExtractor(); const output = await extractor(image); @@ -54,47 +42,46 @@ export class ClipEmbeddingProvider implements EmbeddingProvider { return normalize(vec); } - private async getTransformers(): Promise { - if (this.transformers) return this.transformers; - try { - this.transformers = (await import("@xenova/transformers")) as unknown as TransformersModule; - } catch { - throw new Error( - "Install @xenova/transformers for CLIP image embeddings: npm install @xenova/transformers", - ); - } - return this.transformers; - } - private async getTextExtractor(): Promise { if (this.textExtractor) return this.textExtractor; - const t = await this.getTransformers(); - this.textExtractor = await t.pipeline("feature-extraction", this.modelId); + const t = await loadTransformers(); + this.textExtractor = (await t.pipeline("feature-extraction", this.modelId, { dtype: "q8" })) as ClipPipeline; return this.textExtractor; } private async getImageExtractor(): Promise { if (this.imageExtractor) return this.imageExtractor; - const t = await this.getTransformers(); - this.imageExtractor = await t.pipeline("image-feature-extraction", this.modelId); + const t = await loadTransformers(); + this.imageExtractor = (await t.pipeline("image-feature-extraction", this.modelId, { dtype: "q8" })) as ClipPipeline; return this.imageExtractor; } } +async function loadTransformers(): Promise { + try { + return await import("@huggingface/transformers"); + } catch (err) { + if ((err as NodeJS.ErrnoException).code === "ERR_MODULE_NOT_FOUND") { + throw new Error( + "Install @huggingface/transformers for CLIP embeddings: npm install @huggingface/transformers", + ); + } + throw err; + } +} + async function loadImage( t: TransformersModule, src: string, -): Promise { +): Promise { if (src.startsWith("data:")) { const comma = src.indexOf(","); const b64 = comma >= 0 ? src.slice(comma + 1) : src; const buf = Buffer.from(b64, "base64"); - const blob = new Blob([buf]); - return t.RawImage.fromBlob(blob); + return t.RawImage.fromBlob(new Blob([buf])); } const data = await readFile(src); - const blob = new Blob([data]); - return t.RawImage.fromBlob(blob); + return t.RawImage.fromBlob(new Blob([data])); } function normalize(vec: Float32Array): Float32Array { diff --git a/src/providers/embedding/local.ts b/src/providers/embedding/local.ts index 3c9f50f29..8635656be 100644 --- a/src/providers/embedding/local.ts +++ b/src/providers/embedding/local.ts @@ -1,20 +1,15 @@ import type { EmbeddingProvider } from "../../types.js"; -type Pipeline = ( - task: string, - model: string, -) => Promise< - ( - texts: string[], - options: { pooling: string; normalize: boolean }, - ) => Promise<{ tolist: () => number[][] }> ->; +type FeatureExtractor = ( + texts: string[], + options: { pooling: string; normalize: boolean }, +) => Promise<{ tolist: () => number[][] }>; export class LocalEmbeddingProvider implements EmbeddingProvider { readonly name = "local"; readonly processingLocation = "local" as const; readonly dimensions = 384; - private extractor: Awaited> | null = null; + private extractor: FeatureExtractor | null = null; async embed(text: string): Promise { const [result] = await this.embedBatch([text]); @@ -27,27 +22,27 @@ export class LocalEmbeddingProvider implements EmbeddingProvider { pooling: "mean", normalize: true, }); - const vectors = output.tolist(); - return vectors.map((v: number[]) => new Float32Array(v)); + return output.tolist().map((v) => new Float32Array(v)); } private async getExtractor() { if (this.extractor) return this.extractor; - - let transformers: { pipeline: Pipeline }; + let transformers: typeof import("@huggingface/transformers"); try { - // @ts-ignore - optional peer dependency - transformers = await import("@xenova/transformers"); - } catch { - throw new Error( - "Install @xenova/transformers for local embeddings: npm install @xenova/transformers", - ); + transformers = await import("@huggingface/transformers"); + } catch (err) { + if ((err as NodeJS.ErrnoException).code === "ERR_MODULE_NOT_FOUND") { + throw new Error( + "Install @huggingface/transformers for local embeddings: npm install @huggingface/transformers", + ); + } + throw err; } - - this.extractor = await transformers.pipeline( + this.extractor = (await transformers.pipeline( "feature-extraction", "Xenova/all-MiniLM-L6-v2", - ); + { dtype: "q8" }, + )) as FeatureExtractor; return this.extractor; } } diff --git a/src/state/reranker.ts b/src/state/reranker.ts index d3d57a33f..ae92f8e45 100644 --- a/src/state/reranker.ts +++ b/src/state/reranker.ts @@ -12,17 +12,12 @@ async function loadPipeline(): Promise { pipelineLoading = (async () => { try { const { pipeline: createPipeline } = await import( - "@xenova/transformers" + "@huggingface/transformers" ); - const createTextClassificationPipeline = createPipeline as unknown as ( - task: string, - model: string, - options: { quantized: boolean }, - ) => Promise; - pipeline = await createTextClassificationPipeline( + pipeline = await createPipeline( "text-classification", "Xenova/ms-marco-MiniLM-L-6-v2", - { quantized: true }, + { dtype: "q8" }, ); return pipeline; } catch { diff --git a/src/version.ts b/src/version.ts index 6af4c9dbb..610a477d4 100644 --- a/src/version.ts +++ b/src/version.ts @@ -1,4 +1,4 @@ -export const VERSION = "0.9.30-chronode.3"; +export const VERSION = "0.9.30-chronode.4"; export const EXPORT_FORMAT_VERSION = "0.9.28" as const; export const API_CONTRACT_VERSION = 1; export const BACKEND_BUILD_ID = diff --git a/src/xenova.d.ts b/src/xenova.d.ts deleted file mode 100644 index 7abd4b095..000000000 --- a/src/xenova.d.ts +++ /dev/null @@ -1,3 +0,0 @@ -declare module "@xenova/transformers" { - export function pipeline(task: string, model: string): Promise; -} diff --git a/test/clip-embedding-provider.test.ts b/test/clip-embedding-provider.test.ts new file mode 100644 index 000000000..b605c1ef7 --- /dev/null +++ b/test/clip-embedding-provider.test.ts @@ -0,0 +1,100 @@ +import { describe, it, expect, vi, afterEach } from "vitest"; + +afterEach(() => { + vi.doUnmock("@huggingface/transformers"); + vi.resetModules(); +}); + +describe("ClipEmbeddingProvider (package unavailable)", () => { + it("throws clean install hint when @huggingface/transformers is missing", async () => { + vi.doMock("@huggingface/transformers"); + vi.resetModules(); + const { ClipEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/clip.js" + ); + await expect(new Fresh().embed("hello")).rejects.toThrow( + "Install @huggingface/transformers for CLIP embeddings", + ); + }); +}); + +describe("ClipEmbeddingProvider (with loaded pipeline)", () => { + function mockSuccessModule() { + const textExtractor = vi.fn(async (texts: string[]) => ({ + tolist: () => texts.map(() => [0.1, 0.2]), + })); + const imageExtractor = vi.fn(async () => ({ + tolist: () => [[0.3, 0.4]], + data: new Float32Array([0.3, 0.4]), + })); + const fromBlob = vi.fn(async () => ({})); + const pipeline = vi.fn((task: string) => { + if (task === "feature-extraction") return Promise.resolve(textExtractor); + if (task === "image-feature-extraction") return Promise.resolve(imageExtractor); + return Promise.reject(new Error(`unmocked task: ${task}`)); + }); + vi.doMock("@huggingface/transformers", () => ({ + pipeline, + RawImage: { fromBlob }, + })); + vi.resetModules(); + return { pipeline, textExtractor, imageExtractor, fromBlob }; + } + + it("loads text pipeline with dtype: q8 and returns mapped Float32Array", async () => { + const { pipeline } = mockSuccessModule(); + const { ClipEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/clip.js" + ); + const vec = await new Fresh().embed("hello"); + + expect(pipeline).toHaveBeenCalledWith( + "feature-extraction", + "Xenova/clip-vit-base-patch32", + { dtype: "q8" }, + ); + expect(vec).toBeInstanceOf(Float32Array); + expect(vec).toEqual(new Float32Array([0.1, 0.2])); + }); + + it("embedBatch returns one Float32Array per input", async () => { + mockSuccessModule(); + const { ClipEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/clip.js" + ); + const vecs = await new Fresh().embedBatch(["a", "b"]); + + expect(vecs).toHaveLength(2); + for (const v of vecs) expect(v).toBeInstanceOf(Float32Array); + }); + + it("embedImage loads image pipeline with dtype: q8 and decodes data: URL", async () => { + const { pipeline, fromBlob } = mockSuccessModule(); + const { ClipEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/clip.js" + ); + const vec = await new Fresh().embedImage("data:image/png;base64,AAAA"); + + expect(pipeline).toHaveBeenCalledWith( + "image-feature-extraction", + "Xenova/clip-vit-base-patch32", + { dtype: "q8" }, + ); + expect(fromBlob).toHaveBeenCalled(); + expect(vec).toBeInstanceOf(Float32Array); + }); + + it("accepts custom model ID via constructor", async () => { + const { pipeline } = mockSuccessModule(); + const { ClipEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/clip.js" + ); + await new Fresh("Xenova/clip-vit-large-patch14").embed("hello"); + + expect(pipeline).toHaveBeenCalledWith( + "feature-extraction", + "Xenova/clip-vit-large-patch14", + { dtype: "q8" }, + ); + }); +}); diff --git a/test/local-embedding-provider.test.ts b/test/local-embedding-provider.test.ts new file mode 100644 index 000000000..69ce049d8 --- /dev/null +++ b/test/local-embedding-provider.test.ts @@ -0,0 +1,62 @@ +import { describe, it, expect, vi, afterEach } from "vitest"; + +afterEach(() => { + vi.doUnmock("@huggingface/transformers"); + vi.resetModules(); +}); + +describe("LocalEmbeddingProvider (package unavailable)", () => { + it("throws clean install hint when @huggingface/transformers is missing", async () => { + vi.doMock("@huggingface/transformers"); + vi.resetModules(); + const { LocalEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/local.js" + ); + await expect(new Fresh().embed("hello")).rejects.toThrow( + "Install @huggingface/transformers for local embeddings", + ); + }); +}); + +describe("LocalEmbeddingProvider (with loaded pipeline)", () => { + function mockSuccessModule() { + const extractor = vi.fn(async (texts: string[]) => ({ + tolist: () => texts.map(() => [0.1, 0.2, 0.3]), + })); + const pipeline = vi.fn(() => Promise.resolve(extractor)); + vi.doMock("@huggingface/transformers", () => ({ pipeline })); + vi.resetModules(); + return { pipeline, extractor }; + } + + it("calls pipeline with dtype: q8, passes extractor opts, returns mapped Float32Array", async () => { + const { pipeline, extractor } = mockSuccessModule(); + const { LocalEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/local.js" + ); + const vec = await new Fresh().embed("hello"); + + expect(pipeline).toHaveBeenCalledWith( + "feature-extraction", + "Xenova/all-MiniLM-L6-v2", + { dtype: "q8" }, + ); + expect(extractor).toHaveBeenCalledWith(["hello"], { + pooling: "mean", + normalize: true, + }); + expect(vec).toBeInstanceOf(Float32Array); + expect(vec).toEqual(new Float32Array([0.1, 0.2, 0.3])); + }); + + it("embedBatch returns one Float32Array per input text", async () => { + mockSuccessModule(); + const { LocalEmbeddingProvider: Fresh } = await import( + "../src/providers/embedding/local.js" + ); + const vecs = await new Fresh().embedBatch(["a", "b", "c"]); + + expect(vecs).toHaveLength(3); + for (const v of vecs) expect(v).toBeInstanceOf(Float32Array); + }); +}); diff --git a/test/local-embedding-smoke.test.ts b/test/local-embedding-smoke.test.ts new file mode 100644 index 000000000..9dc17e0d3 --- /dev/null +++ b/test/local-embedding-smoke.test.ts @@ -0,0 +1,12 @@ +import { describe, it, expect } from "vitest"; +import { LocalEmbeddingProvider } from "../src/providers/embedding/local.js"; + +const run = process.env.RUN_HF_SMOKE === "1"; + +describe.runIf(run)("LocalEmbeddingProvider v4 smoke (real model)", () => { + it("embeds via Xenova/all-MiniLM-L6-v2 -> 384 finite dims", async () => { + const vec = await new LocalEmbeddingProvider().embed("hello world"); + expect(vec.length).toBe(384); + for (const v of vec) expect(Number.isFinite(v)).toBe(true); + }, 60_000); +}); diff --git a/test/reranker.test.ts b/test/reranker.test.ts index 0694e6d50..904a19800 100644 --- a/test/reranker.test.ts +++ b/test/reranker.test.ts @@ -1,13 +1,13 @@ -import { describe, it, expect, vi } from "vitest"; +import { describe, it, expect, vi, afterEach } from "vitest"; -vi.mock("@xenova/transformers", () => { +vi.mock("@huggingface/transformers", () => { throw new Error("not installed"); }); import { rerank, isRerankerAvailable } from "../src/state/reranker.js"; describe("reranker", () => { - it("returns results unchanged when @xenova/transformers is unavailable", async () => { + it("returns results unchanged when @huggingface/transformers is unavailable", async () => { const results = [ { observation: { @@ -60,3 +60,32 @@ describe("reranker", () => { expect(reranked).toHaveLength(0); }); }); + +describe("reranker with loaded pipeline", () => { + afterEach(() => { + vi.doUnmock("@huggingface/transformers"); + vi.resetModules(); + }); + + it("invokes the @huggingface/transformers pipeline and reorders by score", async () => { + const mockPipeline = vi.fn(async (text: string) => [ + { score: text.includes("First") ? 0.9 : 0.1 }, + ]); + vi.doMock("@huggingface/transformers", () => ({ + pipeline: () => Promise.resolve(mockPipeline), + })); + vi.resetModules(); + + const { rerank } = await import("../src/state/reranker.js"); + + const results = [ + { observation: { id: "o2", title: "Second", narrative: "" }, combinedScore: 0.9 }, + { observation: { id: "o1", title: "First", narrative: "" }, combinedScore: 0.5 }, + ] as any; + + const reranked = await rerank("query", results); + + expect(mockPipeline).toHaveBeenCalled(); + expect(reranked[0].observation.id).toBe("o1"); + }); +}); diff --git a/tsdown.config.ts b/tsdown.config.ts index 6cdc44e19..0209479e8 100644 --- a/tsdown.config.ts +++ b/tsdown.config.ts @@ -20,19 +20,17 @@ const shared = { format: ["esm"] as const, target: "node20" as const, // Keep these as node_modules imports (deps.neverBundle). We never import - // onnxruntime-{node,web} directly; they come in transitively through - // @xenova/transformers, which is lazy-loaded from + // onnxruntime-{node,web} or sharp directly; they come in transitively + // through @huggingface/transformers, which is lazy-loaded from // src/providers/embedding/{clip,local}.ts and src/state/reranker.ts. // Bundling inlines relative paths like // `../bin/napi-v3/darwin/arm64/onnxruntime_binding.node` that no longer - // resolve from dist/. All are declared as optionalDependencies in - // package.json so users can install them only when they enable local - // embeddings / CLIP / reranker. + // resolve from dist/. @huggingface/transformers is declared as an + // optionalDependency in package.json so users can install it only when + // they enable local embeddings / CLIP / reranker. deps: { neverBundle: [ - "@xenova/transformers", - "onnxruntime-node", - "onnxruntime-web", + "@huggingface/transformers", "@anthropic-ai/claude-agent-sdk", "@anthropic-ai/sdk", ],