From a788fb48fc5932bced37607643c148cc27b8d829 Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Tue, 14 Jul 2026 06:23:45 +0000 Subject: [PATCH] Add 2 curated source(s) (2026-07-14) --- README.MD | 90 ++--- agent-attestation.json | 8 +- curator/src/state/embeddings.json | 532 ++++++++++++++++++++++++++++++ curator/src/state/rejected.json | 30 +- curator/state/last-run.json | 2 +- curator/state/token-ledger.json | 29 ++ sources.json | 225 ++++++++----- 7 files changed, 776 insertions(+), 140 deletions(-) diff --git a/README.MD b/README.MD index 52841ec..10a209c 100644 --- a/README.MD +++ b/README.MD @@ -1,6 +1,6 @@ # awesome-repo-graph -![Sources](https://img.shields.io/badge/sources-159-blue) ![Stars Tracked](https://img.shields.io/badge/stars_tracked-4290312-yellow) ![License](https://img.shields.io/badge/license-MIT-green) +![Sources](https://img.shields.io/badge/sources-161-blue) ![Stars Tracked](https://img.shields.io/badge/stars_tracked-4316247-yellow) ![License](https://img.shields.io/badge/license-MIT-green) A curated, structured collection of open-source repositories, grouped by sector and category, cross-linked by shared tags. `sources.json` is the single source of truth; this file and the graph visualization are both generated from it. @@ -77,11 +77,11 @@ npm run capture:demo ## Sectors - **Frontend Engineering** — 12 sources -- **AI Agent Tooling** — 33 sources +- **AI Agent Tooling** — 34 sources - **DevOps & Infrastructure** — 1 source - **Game Development** — 21 sources - **Backend Engineering & APIs** — 24 sources -- **Machine Learning & Data Science** — 21 sources +- **Machine Learning & Data Science** — 22 sources - **Blockchain & Decentralized AI** — 46 sources - **Developer Productivity & CLI Tools** — 1 source @@ -93,21 +93,21 @@ npm run capture:demo ### GSAP #### GSAP Website Examples - **[award-winning-website](https://github.com/adrianhajdin/award-winning-website)** - ★ 1,021 · `gsap` `landing-page` + ★ 1,027 · `gsap` `landing-page` - **[jsm_gta_vi_landing](https://github.com/adrianhajdin/jsm_gta_vi_landing)** ★ 196 · `gsap` `landing-page` - **[Truus.co-Awwward-Website](https://github.com/Thakuma07/Truus.co-Awwward-Website)** — Vanilla HTML/CSS/JS site built with GSAP, ScrollTrigger, and Lenis featuring experimental layout, cursor interaction, and dense motion design. - ★ 117 · `gsap` `landing-page` `scrolltrigger` + ★ 123 · `gsap` `landing-page` `scrolltrigger` - **[3D-Landing-page-for-Apple-iPhone](https://github.com/codebucks27/3D-Landing-page-for-Apple-iPhone)** — 3D iPhone product landing page using Three.js for rendering and GSAP/ScrollTrigger for scroll-controlled camera and product animation. ★ 109 · `gsap` `landing-page` `threejs` `scrolltrigger` - **[capsule](https://github.com/ShowravKormokar/capsule)** — React, Vite, Tailwind, and GSAP recreation of the Awwwards-winning Capsule site's complex animations. ★ 69 · `gsap` `landing-page` `tailwind` - **[SpyltMilk-clone](https://github.com/ShowravKormokar/SpyltMilk-clone)** — Single-product Awwwards clone with bold, colorful motion design built with React, Tailwind, and GSAP. - ★ 38 · `gsap` `landing-page` `tailwind` + ★ 39 · `gsap` `landing-page` `tailwind` - **[svelte-gsap-template](https://github.com/YusufCeng1z/svelte-gsap-template)** — Production-oriented, MIT-licensed creative agency landing page template built with Svelte 5, GSAP 3, and Tailwind CSS 4, featuring spatial typography and hardware-accelerated motion. ★ 36 · `gsap` `landing-page` `svelte` `tailwind` - **[gentlerain.ai](https://github.com/manish-850/gentlerain.ai)** — Clone of the Gentlerain.ai Awwwards site built with GSAP, Three.js, and Lenis, showing WebGL and GSAP used together. - ★ 32 · `gsap` `landing-page` `threejs` `webgl` + ★ 34 · `gsap` `landing-page` `threejs` `webgl` - **[JeskoJets-ScrollAnimation](https://github.com/Thakuma07/JeskoJets-ScrollAnimation)** — Scroll animation that zooms into the hero area instead of sliding past it, for perspective and 3D transition effects. ★ 18 · `gsap` `landing-page` `scrolltrigger` - **[threejs-gsap-scroller](https://github.com/TranHuuDat2004/threejs-gsap-scroller)** — Isolated example binding a Three.js 3D object to a ScrollTrigger timeline for scroll-controlled camera movement and 3D scenes. @@ -120,99 +120,101 @@ npm run capture:demo
-AI Agent Tooling — 33 sources +AI Agent Tooling — 34 sources ### Security & Pentesting - **[strix](https://github.com/usestrix/strix)** — Open-source AI-powered penetration testing agent that autonomously finds and fixes application vulnerabilities. - ★ 39,715 · Apache-2.0 · `ai-agent` `penetration-testing` `security` `python` + ★ 41,286 · Apache-2.0 · `ai-agent` `penetration-testing` `security` `python` ### Browser & GUI Agents - **[chrome-devtools-mcp](https://github.com/ChromeDevTools/chrome-devtools-mcp)** — Official Chrome DevTools MCP server letting coding agents control and debug the browser directly. - ★ 46,517 · Apache-2.0 · `mcp-server` `chrome-devtools` `debugging` `typescript` + ★ 46,883 · Apache-2.0 · `mcp-server` `chrome-devtools` `debugging` `typescript` - **[page-agent](https://github.com/alibaba/page-agent)** — In-browser GUI agent from Alibaba that controls web interfaces via natural language. - ★ 25,579 · MIT · `ai-agent` `browser-automation` `gui-agent` `javascript` + ★ 26,503 · MIT · `ai-agent` `browser-automation` `gui-agent` `javascript` - **[smolagents/computer-agent](https://huggingface.co/spaces/smolagents/computer-agent)** — A Hugging Face Space for an AI agent designed to interact with a computer, featuring a web-based graphical user interface built with Gradio. `ai-agent` `gui-agent` `automation` `gradio` ### Terminal & CLI Agents - **[gemini-cli](https://github.com/google-gemini/gemini-cli)** — An open-source AI agent that integrates Google Gemini capabilities into the command-line interface. - ★ 105,879 · Apache-2.0 · `ai-agent` `cli` `terminal` `mcp-server` `typescript` `gemini` + ★ 105,975 · Apache-2.0 · `ai-agent` `cli` `terminal` `mcp-server` `typescript` `gemini` - **[herdr](https://github.com/ogulcancelik/herdr)** — High-performance Rust-based terminal multiplexer for running multiple AI agents at once. - ★ 14,900 · NOASSERTION · `terminal-multiplexer` `ai-agent` `rust` + ★ 16,222 · NOASSERTION · `terminal-multiplexer` `ai-agent` `rust` - **[agents-cli](https://github.com/google/agents-cli)** — Official Google CLI and skill pack specializing any coding assistant in building, evaluating, and deploying AI agents on Google Cloud. - ★ 4,958 · Apache-2.0 · `google-cloud` `agent-development-kit` `cli` + ★ 5,102 · Apache-2.0 · `google-cloud` `agent-development-kit` `cli` ### MCP Servers - **[unity-mcp](https://github.com/CoplayDev/unity-mcp)** — Bridges AI assistants with the Unity Editor to automate scene control and asset management. - ★ 12,287 · MIT · `mcp-server` `unity` `game-development` + ★ 12,442 · MIT · `mcp-server` `unity` `game-development` +- **[gitlab-mcp](https://gitlab.com/fforster/gitlab-mcp)** — This repository provides a server implementation for the Model Context Protocol (MCP) specifically designed for integration with GitLab. + `mcp-server` `ai-agent` `model-context-protocol` `gitlab` ### Local AI Tools - **[terax-ai](https://github.com/crynta/terax-ai)** — A 7MB terminal-first local AI development workspace. - ★ 8,421 · Apache-2.0 · `local-ai` `terminal` `lightweight` + ★ 8,467 · Apache-2.0 · `local-ai` `terminal` `lightweight` ### Claude Code Skills - **[caveman](https://github.com/JuliusBrussee/caveman)** — Claude Code skill that reduces token usage by up to 65% via compressed, cavemen-style context. - ★ 87,381 · MIT · `claude-code` `skill` `token-optimization` `javascript` + ★ 89,198 · MIT · `claude-code` `skill` `token-optimization` `javascript` ### Claude Code Plugins - **[codex-plugin-cc](https://github.com/openai/codex-plugin-cc)** — Plugin that runs OpenAI Codex from within Claude Code, bridging two agent systems for delegation and review. - ★ 27,212 · Apache-2.0 · `claude-code` `codex` `plugin` `agent-delegation` + ★ 28,479 · Apache-2.0 · `claude-code` `codex` `plugin` `agent-delegation` - **[harness](https://github.com/revfactory/harness)** — Meta-skill plugin for Claude Code that designs domain-specific agent teams by architecture pattern and generates the skills they use. - ★ 8,275 · Apache-2.0 · `claude-code` `agent-teams` `skills` `meta-skill` + ★ 8,334 · Apache-2.0 · `claude-code` `agent-teams` `skills` `meta-skill` ### Agent Harness - **[ECC](https://github.com/affaan-m/ECC)** — Agent performance optimization system for Claude Code, Codex, and Cursor providing skills, instincts, and memory management. - ★ 227,972 · MIT · `agent-harness` `skills` `memory` `claude-code` `codex` `cursor` + ★ 229,352 · MIT · `agent-harness` `skills` `memory` `claude-code` `codex` `cursor` ### Video - **[video-use](https://github.com/browser-use/video-use)** — Automates video editing workflows using browser-use-powered coding agents. - ★ 16,301 · MIT · `video-editing` `browser-use` `automation` + ★ 16,866 · MIT · `video-editing` `browser-use` `automation` ### Agent Apps - **[career-ops](https://github.com/santifer/career-ops)** — Go-based AI-powered job search system built on Claude Code with a dashboard and 14 skill modes. - ★ 59,402 · MIT · `job-search` `dashboard` `go` `ai-agent` + ★ 59,951 · MIT · `job-search` `dashboard` `go` `ai-agent` - **[lenserfight](https://github.com/conectlens/lenserfight)** — Platform for parameterized prompts, AI-agent workflows, a community forum, and prompt battles. ★ 12 · MIT · `ai-agent` `prompt-engineering` `workflow-automation` `automation` ### Agent Frameworks - **[openclaw](https://github.com/openclaw/openclaw)** - ★ 382,401 · NOASSERTION · `ai-agent` `agent-framework` + ★ 382,868 · NOASSERTION · `ai-agent` `agent-framework` - **[superpowers](https://github.com/obra/superpowers)** — Agentic skill framework and software development methodology. - ★ 251,111 · MIT · `agent-framework` `skills` `software-development-methodology` + ★ 254,098 · MIT · `agent-framework` `skills` `software-development-methodology` - **[hermes-agent](https://github.com/NousResearch/hermes-agent)** — Extensible AI agent with persistent memory designed to adapt to its user over time. - ★ 212,366 · MIT · `ai-agent` `agent-framework` `llm` `memory` + ★ 214,408 · MIT · `ai-agent` `agent-framework` `llm` `memory` - **[agency-agents](https://github.com/msitarzewski/agency-agents)** — End-to-end AI agency framework composed of specialized expert agents (frontend, community management, etc.). - ★ 129,854 · MIT · `agent-framework` `multi-agent` `frontend` `community-management` + ★ 131,217 · MIT · `agent-framework` `multi-agent` `frontend` `community-management` - **[ai-berkshire](https://github.com/xbtlin/ai-berkshire)** — Value-investing research framework for Claude Code and Codex combining multiple investor methodologies via a multi-agent architecture. - ★ 12,429 · MIT · `claude-code` `codex` `value-investing` `multi-agent` + ★ 13,058 · MIT · `claude-code` `codex` `value-investing` `multi-agent` - **[codec](https://github.com/AVADSA25/codec)** — An open-source intelligent command layer and framework for building and running local AI agents, supporting voice interaction and self-hosted deployments. ★ 101 · MIT · `ai-agent` `agent-framework` `local-ai` `self-hosted` `macos` `python` ### Agent Infrastructure - **[OmniRoute](https://github.com/diegosouzapw/OmniRoute)** — Free AI gateway for coding assistants routing 200+ LLM providers through one endpoint, with token compression and MCP/A2A support. - ★ 14,471 · MIT · `llm-gateway` `mcp` `a2a` `token-compression` + ★ 16,975 · MIT · `llm-gateway` `mcp` `a2a` `token-compression` - **[CubeSandbox](https://github.com/TencentCloud/CubeSandbox)** — Tencent Cloud's open-source sandbox for running AI agents in concurrent, secure, isolated environments. - ★ 9,392 · NOASSERTION · `sandbox` `agent-infrastructure` `tencent-cloud` `rust` + ★ 10,035 · NOASSERTION · `sandbox` `agent-infrastructure` `tencent-cloud` `rust` - **[agent-toolkit-for-aws](https://github.com/aws/agent-toolkit-for-aws)** — Officially supported MCP servers and plugin pack for AI coding agents to interact with AWS services. - ★ 1,806 · Apache-2.0 · `aws` `mcp` `agent-toolkit` + ★ 1,836 · Apache-2.0 · `aws` `mcp` `agent-toolkit` ### Data Access & Research - **[Agent-Reach](https://github.com/Panniantong/Agent-Reach)** — Capability layer giving AI agents zero-fee read/search access to Twitter, Reddit, YouTube, GitHub, and more. - ★ 54,042 · MIT · `ai-agent` `web-search` `social-media` `cli` + ★ 55,920 · MIT · `ai-agent` `web-search` `social-media` `cli` - **[hiring-agent](https://github.com/interviewstreet/hiring-agent)** — AI agent that autonomously reads, evaluates, and scores resumes for hiring workflows. - ★ 5,346 · MIT · `hiring` `resume-parsing` `ai-agent` + ★ 5,776 · MIT · `hiring` `resume-parsing` `ai-agent` ### Design & UI Generation - **[ai-website-cloner-template](https://github.com/JCodesMore/ai-website-cloner-template)** — Template that uses AI coding agents to analyze and clone a website's design into a modern Next.js/Tailwind project. - ★ 27,267 · MIT · `nextjs` `tailwind` `website-cloning` `coding-agent` + ★ 28,167 · MIT · `nextjs` `tailwind` `website-cloning` `coding-agent` - **[design.md](https://github.com/google-labs-code/design.md)** — Google Labs format for conveying design systems and visual identity to coding agents via combined YAML/Markdown files. - ★ 25,541 · Apache-2.0 · `design-system` `yaml` `coding-agent` `ui-generation` + ★ 25,854 · Apache-2.0 · `design-system` `yaml` `coding-agent` `ui-generation` - **[openpencil](https://github.com/ZSeven-W/openpencil)** — Open-source AI vector design tool turning natural-language prompts into UI designs, with code output for React, Tailwind, Flutter, and SwiftUI. - ★ 3,999 · MIT · `design-as-code` `vector-design` `ui-generation` `multi-agent` + ★ 4,050 · MIT · `design-as-code` `vector-design` `ui-generation` `multi-agent` ### Data & Document Processing - **[MinerU](https://github.com/opendatalab/MinerU)** — Document parsing engine converting PDF/DOCX/PPTX into Markdown/JSON for RAG and agent workflows, with VLM/OCR support. - ★ 74,113 · NOASSERTION · `document-parsing` `rag` `ocr` `pdf` + ★ 74,525 · NOASSERTION · `document-parsing` `rag` `ocr` `pdf` ### Multi-Agent Research - **[awesome-multi-agent-papers](https://github.com/kyegomez/awesome-multi-agent-papers)** — A curated list of notable research papers on multi-agent LLM systems, maintained by kyegomez. @@ -220,7 +222,7 @@ npm run capture:demo ### Workflow Automation - **[n8n](https://github.com/n8n-io/n8n)** — Fair-code workflow automation platform with native AI capabilities, 400+ integrations, and self-hosting. - ★ 195,893 · NOASSERTION · `workflow-automation` `automation` `low-code` `self-hosted` + ★ 196,360 · NOASSERTION · `workflow-automation` `automation` `low-code` `self-hosted`
@@ -229,7 +231,7 @@ npm run capture:demo ### Containers - **[container](https://github.com/apple/container)** — Apple's official open-source tool for creating and running Linux containers as lightweight VMs on macOS, optimized for Apple Silicon. - ★ 47,336 · Apache-2.0 · `containers` `macos` `apple-silicon` `swift` `oci` + ★ 47,729 · Apache-2.0 · `containers` `macos` `apple-silicon` `swift` `oci` @@ -303,7 +305,7 @@ npm run capture:demo ### API Clients & Testing - **[hoppscotch](https://github.com/hoppscotch/hoppscotch)** — Hoppscotch is an open-source API development ecosystem providing tools for testing and developing APIs across web, desktop, and CLI environments. It serves as an alternative to proprietary API clients like Postman and Insomnia. - ★ 79,773 · MIT · `cli` `typescript` `api` `api-client` `api-testing` `developer-tool` + ★ 79,807 · MIT · `cli` `typescript` `api` `api-client` `api-testing` `developer-tool` ### Web Frameworks - **[NestJS](https://github.com/nestjs/nest)** — Progressive Node.js framework for building efficient, scalable server-side applications with TypeScript. @@ -370,11 +372,11 @@ npm run capture:demo
-Machine Learning & Data Science — 21 sources +Machine Learning & Data Science — 22 sources ### Machine Learning Frameworks - **[tensorflow](https://github.com/tensorflow/tensorflow)** — TensorFlow is an open-source machine learning framework designed for everyone, supporting deep learning and neural networks. It provides tools for building and deploying machine learning models, including capabilities for distributed computing. - ★ 196,207 · Apache-2.0 · `python` `machine-learning` `deep-learning` `neural-network` `framework` `distributed-computing` + ★ 196,322 · Apache-2.0 · `python` `machine-learning` `deep-learning` `neural-network` `framework` `distributed-computing` ### Deep Learning Frameworks - **[Transformers](https://github.com/huggingface/transformers)** — A library of pretrained deep learning models and utilities for natural language processing, computer vision, and audio tasks. @@ -429,6 +431,10 @@ npm run capture:demo ★ 13,233 · BSD-3-Clause · `jupyter` `notebook` `interactive-computing` `python` ### Natural Language Processing +#### Large Language Models +- **[google/datagemma-rag-27b-it](https://huggingface.co/google/datagemma-rag-27b-it)** — A finetuned Gemma 2 27B large language model from Google, designed for text generation and conversational AI. It is optimized for Retrieval Augmented Generation (RAG) tasks. + `transformers` `llm` `nlp` `pretrained-models` `rag` `artificial-intelligence` + - **[spaCy](https://github.com/explosion/spaCy)** — An industrial-strength natural language processing library for Python featuring tokenization, tagging, parsing, and named entity recognition. ★ 33,719 · MIT · `nlp` `python` `text-processing` `linguistics` @@ -486,7 +492,7 @@ npm run capture:demo ### AI Algorithm Projects - **[Decentralized & Collaborative AI on Blockchain](https://github.com/microsoft/0xDeCA10B)** — A framework to host and train publicly available machine learning models in smart contracts with incentive mechanisms encouraging good-quality training data. - ★ 607 · MIT · `decentralized-ai` `smart-contract` `collaborative-ml` + ★ 608 · MIT · `decentralized-ai` `smart-contract` `collaborative-ml` - **[Danku](https://github.com/algorithmiaio/danku)** — A blockchain-based protocol for evaluating and purchasing ML models on a public blockchain such as Ethereum. ★ 147 · `decentralized-ai` `ethereum` `smart-contract` diff --git a/agent-attestation.json b/agent-attestation.json index 94e9839..977c6a5 100644 --- a/agent-attestation.json +++ b/agent-attestation.json @@ -1,10 +1,10 @@ { "schemaVersion": 1, "agentId": "awesome-repo-graph-curator", - "producedAt": "2026-07-10T06:40:27.769Z", + "producedAt": "2026-07-14T06:23:45.336Z", "subject": { - "sources.json": "sha256:5bdf1f0b56a19b4df6c0ecb0214a5b59d5bc86a2b41a1af36074c6d3add03936", - "README.MD": "sha256:844c93caa16c8b0c04b9fd7cc1b90ac27c92b66917edb2b242a22a06f98bfd58" + "sources.json": "sha256:30bfde1cc86fea422c218d13160787a6865854b2ca406f48aa08c9b6db573839", + "README.MD": "sha256:a825c1f3fb375f969e246ea3075b95c23b17ba0f6d65232d329b985a60e9d603" }, "mechanical": { "validated": true, @@ -13,6 +13,6 @@ "signature": { "algorithm": "ed25519", "keyId": "curator-2026", - "value": "6U9Jov0BQTKkR11KMp4nWB/eZmEXc80IKNSzcT4x9ZhcWgfgRgchnA52c5C+ASI47iyfTDqgicQlWfandH7eCQ==" + "value": "jaGYjZpOusXJrB25fzjIOYq0uGDC6Vfwz+RIecpbeEz5GC8W7UIYaDKioa53GqxNNGz+4sv7S9SIbmJ0T/SzBg==" } } diff --git a/curator/src/state/embeddings.json b/curator/src/state/embeddings.json index 5def1ce..361150d 100644 --- a/curator/src/state/embeddings.json +++ b/curator/src/state/embeddings.json @@ -15428,6 +15428,272 @@ ], "updatedAt": "2026-07-10T06:39:58.782Z" }, + { + "sourceId": "gitlab-com-fforster-gitlab-mcp", + "canonicalUrl": "https://gitlab.com/fforster/gitlab-mcp", + "textHash": "cffd6bac", + "model": "gemini-embedding-001", + "dimensions": 256, + "vector": [ + -0.003053424647077918, + 0.024381395429372787, + 0.01997339352965355, + -0.061917778104543686, + -0.032328832894563675, + -0.0017601060681045055, + 0.01675572246313095, + 0.0016298809787258506, + -0.00038526736898347735, + 0.02116985246539116, + -0.01688576489686966, + -0.018380390480160713, + 0.020340943709015846, + 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a/curator/src/state/rejected.json b/curator/src/state/rejected.json index d11f018..5393be2 100644 --- a/curator/src/state/rejected.json +++ b/curator/src/state/rejected.json @@ -43,9 +43,9 @@ { "canonicalUrl": "https://github.com/n8n-io/n8n", "githubId": 193215554, - "evaluatedAt": "2026-07-06T06:55:45.172Z", + "evaluatedAt": "2026-07-14T06:23:17.413Z", "reasonCode": "duplicate-of-existing", - "metadataFingerprint": "fp_29ccc59", + "metadataFingerprint": "fp_fe9e90c9", "reconsiderAt": null }, { @@ -59,9 +59,9 @@ { "canonicalUrl": "https://github.com/NousResearch/hermes-agent", "githubId": 1024554267, - "evaluatedAt": "2026-07-10T06:39:59.271Z", + "evaluatedAt": "2026-07-14T06:23:16.432Z", "reasonCode": "duplicate-of-existing", - "metadataFingerprint": "fp_bce0e536", + "metadataFingerprint": "fp_569b8e1b", "reconsiderAt": null }, { @@ -120,12 +120,28 @@ "metadataFingerprint": "fp_25a19df2", "reconsiderAt": "2026-07-19T15:06:43.470Z" }, + { + "canonicalUrl": 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a/curator/state/last-run.json +++ b/curator/state/last-run.json @@ -1,3 +1,3 @@ { - "lastSuccessAt": "2026-07-10T06:40:27.744Z" + "lastSuccessAt": "2026-07-14T06:23:45.308Z" } diff --git a/curator/state/token-ledger.json b/curator/state/token-ledger.json index ab012c2..dd8ef7c 100644 --- a/curator/state/token-ledger.json +++ b/curator/state/token-ledger.json @@ -86,6 +86,35 @@ "estimatedCostUsd": null } ] + }, + { + "runId": "2026-07-14", + "startedAt": "2026-07-14T06:21:04.936Z", + "completedAt": "2026-07-14T06:23:45.308Z", + "status": "success", + "agentName": "@awesome-repo-graph/curator", + "agentVersion": "1.0.0", + "primaryModels": [ + "gemini-2.5-flash", + "gemini-embedding-001" + ], + "acceptedCount": 2, + "totalTokens": 8256, + "estimatedCostUsd": 0.0049536, + "byProvider": [ + { + "provider": "vertexGemini", + "stage": "classification", + "totalTokens": 8256, + "estimatedCostUsd": 0.0049536 + }, + { + "provider": "vertexGemini", + "stage": "embeddings", + "totalTokens": null, + "estimatedCostUsd": null + } + ] } ] } diff --git a/sources.json b/sources.json index ca6473c..58b225c 100644 --- a/sources.json +++ b/sources.json @@ -20,7 +20,7 @@ "license": null, "score": { "stars": 196, - "fetchedAt": "2026-07-10" + "fetchedAt": "2026-07-14" }, "addedAt": "2026-07-05" }, @@ -43,8 +43,8 @@ ], "license": null, "score": { - "stars": 1021, - "fetchedAt": "2026-07-10" + "stars": 1027, + "fetchedAt": "2026-07-14" }, "addedAt": "2026-07-05" }, @@ -68,8 +68,8 @@ ], "license": "Apache-2.0", "score": { - "stars": 39715, - "fetchedAt": "2026-07-10" + "stars": 41286, + "fetchedAt": "2026-07-14" }, "addedAt": "2026-07-05" }, @@ -93,8 +93,8 @@ ], "license": "MIT", "score": { - "stars": 25579, - "fetchedAt": "2026-07-10" + "stars": 26503, + "fetchedAt": "2026-07-14" }, "addedAt": "2026-07-05" }, @@ -118,8 +118,8 @@ ], "license": "Apache-2.0", "score": { - "stars": 46517, - "fetchedAt": "2026-07-10" + "stars": 46883, + "fetchedAt": "2026-07-14" }, "addedAt": "2026-07-05" }, @@ 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"ai-agent", + "model-context-protocol", + "gitlab" + ], + "license": null, + "score": { + "stars": null, + "fetchedAt": null + }, + "addedAt": "2026-07-14" + }, + { + "id": "huggingface-co-google-datagemma-rag-27b-it", + "url": "https://huggingface.co/google/datagemma-rag-27b-it", + "provider": "huggingface.co", + "owner": null, + "repo": null, + "title": "google/datagemma-rag-27b-it", + "description": "A finetuned Gemma 2 27B large language model from Google, designed for text generation and conversational AI. It is optimized for Retrieval Augmented Generation (RAG) tasks.", + "path": [ + "Machine Learning & Data Science", + "Natural Language Processing", + "Large Language Models" + ], + "tags": [ + "transformers", + "llm", + "nlp", + "pretrained-models", + "rag", + "artificial-intelligence" + ], + "license": null, + "score": { + "stars": null, + "fetchedAt": null + }, + "addedAt": "2026-07-14" } ] }