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llm GitHub repositories

Explore 1,166 tracked GitHub repositories tagged llm. Compare their recorded star activity and implementation languages, then follow related topics to find other projects.

Snapshot: 2026-10-29. The collection gained 25,948 stars since the previous daily snapshot.

Tracked repositories
1,166
Total stars
10,693,715
Stars gained · 7 days
+165,750
Stars gained · 30 days
+598,343

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Star activity for llm repositories on this page
RepositoryTotal starsToday7 days30 days
InternLM/xtuner5.2K+0+5+14
chrisliu298/awesome-llm-unlearning637+0+5+14
liquidos-ai/AutoAgents769+0+5+10
undertheseanlp/underthesea1.8K+0+5+6
raphaelmansuy/code2prompt886+0+5+5

Explore repositories

Showing 901–950 of 1166 tracked repositories.

raphaelmansuy/code2prompt

Code2Prompt is a powerful command-line tool that simplifies the process of providing context to Large Language Models (LLMs) by generating a comprehensive Markdown file containing the content of your codebase. ⭐ If you find Code2Prompt useful, consider giving us a star on GitHub! It helps us reach more developers and improve the tool. ⭐
★ 886+0 todayPython
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IncarnaMind/IncarnaMind

From messy files to a checked report. A free, open-source desktop app for macOS, Windows and Linux: write and analyse with AI from your own files, check each sentence and figure against them, and export to Word. Meeting notes too. Works with ChatGPT, Claude, Gemini or a local model through Ollama.

AgentiLoop/Agent

Agent! now supports macOS 14.6 or later, Apple Silicon and Intel, latest release. The Best AI agent for Mac: drives any app via Accessibility, codes/builds in Xcode, automates AppleScript, JXA, Swift and SMAppService shell (user/root). 23 LLM providers, local/cloud, plus on-device Apple Intelligence and Jev guard. Auto-Pilot, MCP, Avatar.

facebookresearch/meta-agents-research-environments

Meta Agents Research Environments is a comprehensive platform designed to evaluate AI agents in dynamic, realistic scenarios. Unlike static benchmarks, this platform introduces evolving environments where agents must adapt their strategies as new information becomes available, mirroring real-world challenges.

charliedream1/ai_wiki

《AI全栈-全网优秀资源搜集站》:搜集全网优秀资源,记载工程实践问题的解决策略与关键要点,分享各种实用案例,追踪前沿技术发展,囊括 AI 全栈知识,涵盖大模型、编程技术、机器学习、深度学习、强化学习、图神经网络、语音识别、NLP 及图像识别等领域
★ 747+0 todayJupyter Notebook
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benmaster82/Kwipu

Ask questions across your Markdown notes using a fully local Graph RAG engine. Built for Obsidian vaults, works with any folder of Markdown files. Extracts entity-relation triples from wikilinks & YAML frontmatter, retrieves answers via hybrid search (vector + BM25 + temporal). Multilingual. No cloud. Runs on Ollama.