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GitHub Trending Today

Trending LLM repositories

Repositories from GitHub’s trending lists about large language models — inference, retrieval, fine-tuning and applications — grouped by a published rule.

Collected

  1. 1st place

    JuliusBrussee/caveman

    🪨 why use many token when few token do trick. Viral skill + proxy for coding agents that cuts 65% of tokens by talking like a caveman.

    +209

    stars today · +0.2%

    Go109k stars in total

  2. 2nd place

    DietrichGebert/ponytail

    Makes your AI agent think like the laziest senior dev in the room. The best code is the code you never wrote.

    +1,435

    stars today · +1.0%

    JavaScript152k stars in total

  3. 3rd place

    coreyhaines31/marketingskills

    Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.

    +140

    stars today · +0.3%

    JavaScript52.5k stars in total

The full list

Each card is one project. The green number is how many stars it gained in the period of its list; the number in the circle is its position.

17 repositories · positions 1 to 3 are above

View
  1. Position 4

    mksglu/context-mode

    Context window optimization for AI coding agents. Sandboxes tool output (98% reduction), persists session memory, and enforces routing across 17 platforms via MCP + hooks.

    TypeScript25.1k stars in total1.8k forksMCPAI agentsLLM

    +282

    stars today

    +1.1%

  2. Position 5

    rohitg00/ai-engineering-from-scratch

    Learn it. Build it. Ship it for others.

    Python62.8k stars in total10.7k forksMCPAI agentsLLM

    +5,600

    stars this week

    +9.8%

  3. Position 6

    alirezarezvani/claude-skills

    380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.

    Python27.4k stars in total3.9k forksAI agentsLLM

    +832

    stars this week

    +3.1%

  4. Position 7

    harry0703/MoneyPrinterTurbo

    利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.

    Python128k stars in total20k forksLLM

    +2,533

    stars this week

    +2.0%

  5. Position 8

    alibaba/open-code-review

    Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.

    Go43.4k stars in total3.1k forksAI agentsLLM

    +21,821

    stars this month

    +101%

  6. Position 9

    affaan-m/ECC

    The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

    JavaScript272k stars in total40.6k forksMCPAI agentsLLM

    +26,490

    stars this month

    +11%

  7. Position 10

    Tencent/WeKnora

    Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.

    Go31.8k stars in total4.2k forksAI agentsLLM

    +10,794

    stars this month

    +51%

  8. Position 11

    tashfeenahmed/freellmapi

    7.4 billion tokens per month. 34 free LLM providers. 635 free model endpoints. All behind one /v1 endpoint, plus any custom OpenAI-compatible endpoint. Smart routing, automatic failover, encrypted keys. Personal experimentation only.

    TypeScript30.2k stars in total4.2k forksLLM

    +6,530

    stars this month

    +28%

  9. Position 12

    ComposioHQ/awesome-claude-skills

    A curated list of awesome Claude Skills, resources, and tools for customizing Claude AI workflows

    Python76.4k stars in total8.9k forksMCPAI agentsLLM

    +81

    stars today

    +0.1%

  10. Position 13

    MakazhanAlpamys/Soup

    Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.

    Python8k stars in total1.3k forksLLM

    +90

    stars today

    +1.1%

  11. Position 14

    ruvnet/ruflo

    🌊 The original agent harness. Deploy intelligent multi-player swarms, coordinate autonomous workflows, and build conversational AI systems. Features adaptive memory, self-learning intelligence, federation, vector RAG integration, and native Claude Code / Codex / Hermes and many more Integrated

    TypeScript73.8k stars in total8.8k forksAI agentsLLM

    +109

    stars today

    +0.1%

  12. Position 15

    mnfst/awesome-free-llm-apis

    List of Permanent Free LLM API (API Keys)

    JavaScript9k stars in total928 forksLLM

    +164

    stars today

    +1.8%

  13. Position 16

    magnitudedev/magnitude

    Open source inference engine for agents that optimizes itself for your exact hardware. Compiles and tunes its kernels on your device, so open models run up to 2x faster than llama.cpp. Works on Apple Silicon, NVIDIA, AMD, or just a CPU.

    Rust6.3k stars in total425 forksLLM

    +249

    stars today

    +4.1%

  14. Position 17

    FalkorDB/FalkorDB

    A super fast Graph Database uses GraphBLAS under the hood for its sparse adjacency matrix graph representation. Our goal is to provide the best Knowledge Graph for LLM (GraphRAG).

    Rust6.7k stars in total489 forksLLM

    +201

    stars today

    +3.1%

Gathered from all the GitHub trending lists we read at Oct 3, 2026, 08:21 UTC: today’s list first, then this week’s and this month’s, then the language lists. Star figures are GitHub’s; the grouping follows the rule in the questions below.

Source: github.com/trending · updated

What is on this page

Projects that work with language models directly: engines that run models on local hardware, servers that expose them through an API, retrieval pipelines that feed documents to a model, fine-tuning and evaluation tools, and applications built on a model provider’s API. A repository is included because its GitHub topics or its description say so, not because of a judgement about what it does.

Checking the claims

Descriptions in this category often promise speed, low memory use or compatibility with a given API. This site copies the description as the author wrote it and does not test any of it. Benchmarks, supported hardware and model licenses are in each README; the license shown on the repository page is the license of the code, which can differ from the license of the model weights it downloads.

Related pages: AI agents and MCP.

More lists to explore

The same data cut by period, programming language and subject.

Questions and answers

More detail on the method page.

What puts a repository on this page?

A GitHub topic such as llm, large-language-models, rag, local-llm, llm-inference, ollama, openai or fine-tuning, or a description that mentions LLMs, language models, RAG or an inference engine as whole words. The word “model” alone does not count.

Why is an agent framework not always listed here?

The three topic pages follow separate rules. A repository appears here only when its topics or description mention language models directly; many agent tools describe themselves without doing so.

Are model weights tracked?

No. Only GitHub repositories are tracked. Models published on other hubs are outside what this site collects.