From 6c2fef7bc61f71d64c82b55a7d249effe5fd93ab Mon Sep 17 00:00:00 2001 From: "github-actions[bot]" Date: Sat, 18 Jul 2026 00:05:06 +0000 Subject: [PATCH] Add 2 curated source(s) (2026-07-18) --- README.MD | 110 +++--- 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 | 262 +++++++++------ 7 files changed, 805 insertions(+), 168 deletions(-) diff --git a/README.MD b/README.MD index 52841ec..f06e4c3 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-4336001-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` + ★ 1,030 · `gsap` `landing-page` - **[jsm_gta_vi_landing](https://github.com/adrianhajdin/jsm_gta_vi_landing)** - ★ 196 · `gsap` `landing-page` + ★ 197 · `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` + ★ 127 · `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` + ★ 40 · `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. @@ -120,107 +120,109 @@ 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` + ★ 42,258 · 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` + ★ 47,103 · 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` + ★ 26,913 · 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` + ★ 106,043 · 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` + ★ 17,637 · 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` + ★ 5,201 · 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` + ★ 12,600 · MIT · `mcp-server` `unity` `game-development` +- **[gitlab-mcp](https://gitlab.com/fforster/gitlab-mcp)** — A Model Context Protocol (MCP) server for GitLab. + `mcp-server` `ai-agent` `artificial-intelligence` `protocol` `model-context-protocol` ### 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` + ★ 8,523 · 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` + ★ 90,341 · 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` + ★ 29,096 · 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` + ★ 8,387 · 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` + ★ 230,675 · 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` + ★ 17,055 · 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` + ★ 60,398 · 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` + ★ 13 · MIT · `ai-agent` `prompt-engineering` `workflow-automation` `automation` ### Agent Frameworks - **[openclaw](https://github.com/openclaw/openclaw)** - ★ 382,401 · NOASSERTION · `ai-agent` `agent-framework` + ★ 383,290 · 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` + ★ 256,646 · 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` + ★ 216,454 · 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` + ★ 132,304 · 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` + ★ 13,284 · 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` + ★ 18,378 · 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` + ★ 10,389 · 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` + ★ 1,942 · 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` + ★ 57,491 · 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` + ★ 6,009 · 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` + ★ 28,567 · 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` + ★ 26,013 · 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` + ★ 4,126 · 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` + ★ 74,941 · 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. - ★ 1,604 · NOASSERTION · `multi-agent` `llm` `ai-agent` + ★ 1,611 · NOASSERTION · `multi-agent` `llm` `ai-agent` ### 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` + ★ 196,849 · 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` + ★ 47,953 · Apache-2.0 · `containers` `macos` `apple-silicon` `swift` `oci` @@ -242,9 +244,9 @@ npm run capture:demo ### Game Engines - **[Godot](https://github.com/godotengine/godot)** — Full-featured cross-platform game engine supporting 2D and 3D development with its own scripting language and editor. - ★ 113,866 · MIT · `game-engine` `2d` `3d` `open-source` + ★ 114,265 · MIT · `game-engine` `2d` `3d` `open-source` - **[Bevy](https://github.com/bevyengine/bevy)** — Data-driven game engine written in Rust built around a built-in entity component system. - ★ 47,086 · Apache-2.0 · `game-engine` `rust` `ecs` + ★ 47,208 · Apache-2.0 · `game-engine` `rust` `ecs` ### 2D Frameworks - **[Phaser](https://github.com/phaserjs/phaser)** — Fast, free HTML5 game framework for building 2D games that run in desktop and mobile browsers. @@ -303,21 +305,21 @@ 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` + ★ 79,824 · 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. - ★ 76,131 · MIT · `typescript` `node` `web-framework` `dependency-injection` + ★ 76,141 · MIT · `typescript` `node` `web-framework` `dependency-injection` - **[Fiber](https://github.com/gofiber/fiber)** — Go web framework inspired by Express, built on top of fasthttp for high performance. - ★ 39,936 · MIT · `go` `web-framework` `http` `fasthttp` + ★ 39,979 · MIT · `go` `web-framework` `http` `fasthttp` - **[Encore](https://github.com/encoredev/encore)** — Backend development platform for building type-safe distributed systems with built-in infrastructure provisioning. - ★ 12,132 · MPL-2.0 · `go` `typescript` `backend-framework` `infrastructure-as-code` + ★ 12,167 · MPL-2.0 · `go` `typescript` `backend-framework` `infrastructure-as-code` ### Databases - **[etcd](https://github.com/etcd-io/etcd)** — Distributed, reliable key-value store used for shared configuration and service discovery. - ★ 51,965 · Apache-2.0 · `database` `distributed` `key-value-store` `consensus` `raft` + ★ 51,998 · Apache-2.0 · `database` `distributed` `key-value-store` `consensus` `raft` - **[ClickHouse](https://github.com/ClickHouse/ClickHouse)** — Column-oriented database management system for real-time analytics with SQL support. - ★ 48,555 · Apache-2.0 · `database` `olap` `columnar` `analytics` `sql` + ★ 48,703 · Apache-2.0 · `database` `olap` `columnar` `analytics` `sql` - **[Dgraph](https://github.com/dgraph-io/dgraph)** — Distributed graph database with native GraphQL query support built for horizontal scalability. ★ 21,733 · Apache-2.0 · `database` `graph-database` `distributed` `graphql` - **[QuestDB](https://github.com/questdb/questdb)** — High-performance time-series database with SQL support optimized for fast ingestion and analytics. @@ -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..d367514 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": "2026-07-18T00:05:06.126Z", "subject": { - "sources.json": "sha256:5bdf1f0b56a19b4df6c0ecb0214a5b59d5bc86a2b41a1af36074c6d3add03936", - "README.MD": "sha256:844c93caa16c8b0c04b9fd7cc1b90ac27c92b66917edb2b242a22a06f98bfd58" + "sources.json": "sha256:78e569e13ce63f26f5e4d88ada66c206343d4daa36dd6be655dcbaae632f2af5", + "README.MD": "sha256:313cc795856c91dfa5445e2f68a5b9c2c7ca65065eb3ba9feeb4b971af7e7391" }, "mechanical": { "validated": true, @@ -13,6 +13,6 @@ "signature": { "algorithm": "ed25519", "keyId": "curator-2026", - "value": 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b/curator/src/state/rejected.json index d11f018..e8300b8 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": "2026-07-18T00:04:35.189Z", "reasonCode": "duplicate-of-existing", - "metadataFingerprint": "fp_29ccc59", + "metadataFingerprint": "fp_5fb30c72", "reconsiderAt": null }, { @@ -59,9 +59,9 @@ { "canonicalUrl": "https://github.com/NousResearch/hermes-agent", "githubId": 1024554267, - "evaluatedAt": "2026-07-10T06:39:59.271Z", + "evaluatedAt": "2026-07-18T00:04:34.248Z", "reasonCode": "duplicate-of-existing", - "metadataFingerprint": "fp_bce0e536", + "metadataFingerprint": "fp_ea99197c", "reconsiderAt": null }, { @@ -120,12 +120,28 @@ "metadataFingerprint": "fp_25a19df2", "reconsiderAt": "2026-07-19T15:06:43.470Z" }, + { + "canonicalUrl": "https://gitlab.com/ntninja/user-agent-switcher", + "githubId": 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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": "2026-07-18" } ] }