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  • 1
    GLM-4.6

    GLM-4.6

    Agentic, Reasoning, and Coding (ARC) foundation models

    ...The model achieves superior coding performance, excelling in benchmarks and practical coding assistants such as Claude Code, Cline, Roo Code, and Kilo Code. Its reasoning capabilities have been strengthened, including improved tool usage during inference and more effective integration within agent frameworks. GLM-4.6 also enhances writing quality, producing outputs that better align with human preferences and role-playing scenarios. Benchmark evaluations demonstrate that it not only outperforms GLM-4.5 but also rivals leading global models such as DeepSeek-V3.1-Terminus and Claude Sonnet 4.
    Downloads: 221 This Week
    Last Update:
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  • 2
    GLM-4.5

    GLM-4.5

    GLM-4.5: Open-source LLM for intelligent agents by Z.ai

    ...Flexible inference is supported through frameworks like vLLM and SGLang with tool-call and reasoning parsers included.
    Downloads: 58 This Week
    Last Update:
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  • 3
    GLM-4.7

    GLM-4.7

    Advanced language and coding AI model

    ...The model introduces stronger “thinking before acting” behavior, improving stability and accuracy in complex agent frameworks like Claude Code, Cline, and Roo Code. GLM-4.7 also advances “vibe coding,” producing cleaner, more modern UIs, better-structured webpages, and visually improved slide layouts. Its tool-use capabilities are substantially enhanced, with notable improvements in browsing, search, and tool-integrated reasoning tasks. Overall, GLM-4.7 shows broad performance upgrades across coding, reasoning, chat, creative writing, and role-play scenarios.
    Downloads: 31 This Week
    Last Update:
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  • 4
    AI-Codereview-Gitlab

    AI-Codereview-Gitlab

    GitLab automatic code review tool based on large models

    ...When code changes occur, the system can automatically generate review comments and feedback that are posted directly into GitLab merge requests, allowing developers to see suggestions alongside human reviewer comments. In addition to code analysis, the tool can produce daily development summaries and notifications that help teams track progress and review activity across projects.
    Downloads: 9 This Week
    Last Update:
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  • 5
    Qwen3-Coder

    Qwen3-Coder

    Qwen3-Coder is the code version of Qwen3

    ...Its flagship version, Qwen3-Coder-480B-A35B-Instruct, features a massive 480 billion-parameter Mixture-of-Experts architecture with 35 billion active parameters, delivering top-tier performance on coding and agentic tasks. This model sets new state-of-the-art benchmarks among open models for agentic coding, browser-use, and tool-use, matching performance comparable to leading models like Claude Sonnet. Qwen3-Coder supports an exceptionally long context window of 256,000 tokens, extendable to 1 million tokens using Yarn, enabling repository-scale code understanding and generation. It is capable of handling 358 programming languages, from common to niche, making it versatile for a wide range of development environments. ...
    Downloads: 31 This Week
    Last Update:
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  • 6
    yt-fts

    yt-fts

    Search all of YouTube from the command line

    ...The tool returns search results with timestamps and direct links to the exact moment in the video where the phrase occurs. In addition to traditional keyword search, the system supports experimental semantic search capabilities using embeddings from AI services and vector databases. This allows users to search videos by meaning rather than only exact keywords.
    Downloads: 2 This Week
    Last Update:
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  • 7
    Claude Code Bridge

    Claude Code Bridge

    Real-time multi-AI collaboration: Claude, Codex & Gemini

    Claude Code Bridge is an open-source command-line tool designed to enable real-time collaboration between multiple AI coding assistants within a unified development environment. The system allows developers to coordinate interactions between models such as Claude, Codex, and Gemini so that they can work together on programming tasks. By maintaining persistent shared context between these models, the tool reduces redundant prompts and minimizes token usage while allowing each AI system to contribute specialized capabilities. ...
    Downloads: 2 This Week
    Last Update:
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  • 8
    BruteForceAI

    BruteForceAI

    Advanced LLM-powered brute-force tool combining AI intelligence

    BruteForceAI is an open-source security testing tool that applies large language models to the analysis of login forms and authentication flows in web applications. At a high level, the project uses AI to inspect HTML content, identify the relevant form elements, and automate selector discovery so that a tester does not need to hand-map every field before evaluation. It combines that analysis layer with automated credential testing workflows, framing itself as a more adaptive alternative to older brute-force tooling that depends heavily on manual configuration. ...
    Downloads: 7 This Week
    Last Update:
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  • 9
    MarkPDFDown

    MarkPDFDown

    A high-quality PDF to Markdown tool based on large language model

    ...By producing Markdown rather than raw text, the tool makes it easier to integrate documents into knowledge bases, documentation systems, or language model pipelines that rely on structured input. The software is particularly useful for developers working with technical documents, academic papers, or reports that need to be indexed, summarized, or processed by downstream AI systems.
    Downloads: 1 This Week
    Last Update:
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    AI-powered service management for IT and enterprise teams

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  • 10
    BertViz

    BertViz

    BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

    BertViz is an interactive tool for visualizing attention in Transformer language models such as BERT, GPT2, or T5. It can be run inside a Jupyter or Colab notebook through a simple Python API that supports most Huggingface models. BertViz extends the Tensor2Tensor visualization tool by Llion Jones, providing multiple views that each offer a unique lens into the attention mechanism.
    Downloads: 1 This Week
    Last Update:
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  • 11
    GLM-4

    GLM-4

    GLM-4 series: Open Multilingual Multimodal Chat LMs

    ...The GLM-Z1-32B-0414 line adds deeper mathematical, coding, and logical reasoning via extended reinforcement learning and pairwise ranking feedback, while GLM-Z1-Rumination-32B-0414 introduces a “rumination” mode that performs longer, tool-using deep research for complex, open-ended tasks. A lightweight GLM-Z1-9B-0414 brings many of these techniques to a smaller model, targeting strong reasoning under tight resource budgets.
    Downloads: 3 This Week
    Last Update:
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  • 12
    ReCall

    ReCall

    Learning to Reason with Search for LLMs via Reinforcement Learning

    ...Instead of relying purely on static knowledge stored inside the model, ReCall allows the language model to dynamically decide when it should retrieve information or invoke external capabilities during the reasoning process. The framework uses reinforcement learning to train models to perform these tool calls effectively while solving multi-step reasoning tasks.
    Downloads: 0 This Week
    Last Update:
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  • 13
    LLMCompiler

    LLMCompiler

    An LLM Compiler for Parallel Function Calling

    LLMCompiler is an open-source framework designed to optimize how large language models orchestrate multiple external tool or function calls during complex reasoning tasks. Traditional LLM agent systems typically execute tool calls sequentially, which can create latency, higher costs, and reduced reliability when solving multi-step problems. LLMCompiler addresses this limitation by applying principles from classical compilers to analyze a task and construct an execution plan that allows multiple functions to run in parallel whenever possible. ...
    Downloads: 0 This Week
    Last Update:
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  • 14
    FuzzyAI Fuzzer

    FuzzyAI Fuzzer

    A powerful tool for automated LLM fuzzing

    FuzzyAI is an open-source fuzzing framework designed to test the security and reliability of large language model applications. The tool automates the process of generating adversarial prompts and input variations to identify vulnerabilities such as jailbreaks, prompt injections, or unsafe model responses. It allows developers and security researchers to systematically evaluate the robustness of LLM-based systems by simulating a wide range of malicious or unexpected inputs.
    Downloads: 2 This Week
    Last Update:
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  • 15
    Qwen2.5-Math

    Qwen2.5-Math

    A series of math-specific large language models of our Qwen2 series

    ...It includes base models (1.5B / 7B / 72B parameters), instruction-tuned versions, and a reward model (RM) to improve alignment. Unlike its predecessor Qwen2-Math, Qwen2.5-Math supports both Chain-of-Thought (CoT) reasoning and Tool-Integrated Reasoning (TIR) for solving math problems, and works in both Chinese and English. It is optimized for solving mathematical benchmarks and exams; the 72B-Instruct model achieves state-of-the-art results among open source models on many English and Chinese math tasks.
    Downloads: 3 This Week
    Last Update:
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  • 16
    Qwen

    Qwen

    The official repo of Qwen chat & pretrained large language model

    ...They are openly available for research and commercial use, with Qwen's code and model weights shared on GitHub. Qwen's capabilities include text generation, comprehension, and conversation, making it a versatile tool for developers looking to integrate advanced AI functionalities into their applications.
    Downloads: 14 This Week
    Last Update:
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  • 17
    Qwen3

    Qwen3

    Qwen3 is the large language model series developed by Qwen team

    ...The latest updated version, Qwen3-235B-A22B-Instruct-2507, features significant improvements in instruction-following, reasoning, knowledge coverage, and long-context understanding up to 256K tokens. It delivers higher quality and more helpful text generation across multiple languages and domains, including mathematics, coding, science, and tool usage. Various quantized versions, tools/pipelines provided for inference using quantized formats (e.g. GGUF, etc.). Coverage for many languages in training and usage, alignment with human preferences in open-ended tasks, etc.
    Downloads: 13 This Week
    Last Update:
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  • 18
    Khoj

    Khoj

    An AI personal assistant for your digital brain

    ...Khoj is a desktop application to search and chat with your notes, documents, and images. It is an offline-first, open-source AI personal assistant that is accessible from Emacs, Obsidian or your Web browser. Khoj is a thinking tool that is transparent, fun, and easy to engage with. You can build faster and better by using Khoj to search and reason across all your data sources. Khoj learns from your notes and documents to function as an extension of your brain. So that you can stay focused on doing what matters. Khoj started with the founding principle that a personal assistant be understandable, accessible and hackable. ...
    Downloads: 9 This Week
    Last Update:
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  • 19
    Local File Organizer

    Local File Organizer

    An AI-powered file management tool that ensures privacy

    ...Through AI-driven analysis, the software can detect themes, topics, and metadata in files, allowing it to organize information in ways that traditional rule-based file managers cannot achieve. The tool supports multiple sorting strategies that allow users to categorize files by content, date, or type depending on their workflow preferences.
    Downloads: 1 This Week
    Last Update:
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  • 20
    MetaScreener

    MetaScreener

    AI-powered tool for efficient abstract and PDF screening

    MetaScreener is an open-source AI-assisted tool designed to streamline the screening process in systematic literature reviews and academic research workflows. The system helps researchers analyze large collections of academic abstracts and research papers to determine which studies are relevant for inclusion in evidence synthesis projects. Instead of manually reviewing hundreds or thousands of documents, researchers can use MetaScreener to apply machine learning techniques that assist with classification and prioritization of candidate papers. ...
    Downloads: 0 This Week
    Last Update:
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  • 21
    oterm

    oterm

    the terminal client for Ollama

    ...This allows users to maintain multiple conversations and reuse previous context across sessions. The tool also integrates with the Model Context Protocol so it can interact with external tools and prompts provided through MCP servers.
    Downloads: 0 This Week
    Last Update:
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  • 22
    Cybersecurity AI

    Cybersecurity AI

    Cybersecurity AI (CAI), the framework for AI Security

    ...The project frames itself as a practical foundation for “AI security,” focusing on turning security tasks into agentic workflows that can be composed, executed, and iterated on by practitioners. Rather than being a single-purpose tool, CAI is positioned as a framework that supports building multiple security automations and integrating them into existing processes. It is designed for real-world usability, aiming to reduce friction for teams experimenting with AI agents in security operations, assessment, and response contexts. The framework emphasizes extensibility so users can connect models, tools, and supporting components depending on their environment and constraints.
    Downloads: 0 This Week
    Last Update:
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  • 23
    AgentBench

    AgentBench

    A Comprehensive Benchmark to Evaluate LLMs as Agents (ICLR'24)

    ...AgentBench also includes an evaluation framework that measures success rates, rewards, and task completion performance across different agent implementations. By testing models across diverse scenarios, the benchmark highlights strengths and weaknesses in reasoning, long-term planning, and tool usage.
    Downloads: 0 This Week
    Last Update:
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  • 24
    Agents 2.0

    Agents 2.0

    An Open-source Framework for Data-centric Language Agents

    ...In this framework, each node in the pipeline represents a step in the reasoning or action process, while prompts and tools act as adjustable parameters analogous to neural network weights. During training, the system performs a forward execution where the agent completes a task and records the trajectory of prompts, outputs, and tool usage. A prompt-based loss function is then applied to evaluate the quality of the outcome, generating language-based gradients that guide improvements to the agent pipeline.
    Downloads: 0 This Week
    Last Update:
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  • 25
    OpenOutreach

    OpenOutreach

    Linkedin Automation Tool

    OpenOutreach is a self-hosted, open-source LinkedIn automation platform built for B2B lead generation and outbound prospecting. Instead of requiring a prebuilt contact list, it starts from a product description and target market definition, then uses AI to discover and prioritize likely leads on LinkedIn. The system generates search queries, evaluates candidate profiles, and learns over time which contacts best match the ideal customer profile. According to the repository, it combines large...
    Downloads: 4 This Week
    Last Update:
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