Showing 611 open source projects for "token"

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  • 1
    -PTRN--Petoron--token
    ...Contract Details: - Ethereum Mainnet - Contract: 0xCe675D637bB5E3aDAFDC4d1e475a35D75F6D95bc - Total supply: 20,000,000 PTRN - Treasury: 0x31187017dC243d4D46126bB5a160Bb98FFeef39b Petoron is an entire cryptography ecosystem developed to give people real tools for privacy and data protection: - 🔐 PTBC — Petoron Time Burn Cipher (time-based self-destructing encryption) - 📜 PSC — Petoron Seal Contracts (tamper-proof sealed data) - 📦 PCA — Petoron Crypto Archiver (secure archiving) - 🧹 PLD — Petoron Local Destroyer (irreversible deletion) - ⚛️ PQS — Petoron Quantum Standard (quantum-resistant encryption) - 💬 P2P Messenger — fully encrypted peer-to-peer communication https://github.com/01alekseev/-PTRN--Petoron--token...
    Downloads: 1 This Week
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  • 2
    Sliver

    Sliver

    Adversary Emulation Framework

    Sliver is an open source cross-platform adversary emulation/red team framework, it can be used by organizations of all sizes to perform security testing. Sliver's implants support C2 over Mutual TLS (mTLS), WireGuard, HTTP(S), and DNS and are dynamically compiled with per-binary asymmetric encryption keys. The server and client support MacOS, Windows, and Linux. Implants are supported on MacOS, Windows, and Linux (and possibly every Golang compiler target but we've not tested them all).
    Downloads: 43 This Week
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  • 3
    jekyll-notion

    jekyll-notion

    Import pages from notion

    Import notion pages to Jekyll.
    Downloads: 6 This Week
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  • 4
    Google API PHP Client

    Google API PHP Client

    A PHP client library for accessing Google APIs

    The Google API PHP Client is an official PHP client library for accessing Google APIs such as Gmail, Calendar, Drive, YouTube, and more. It handles OAuth 2.0 authentication, RESTful API calls, and JSON parsing, making it easier for PHP applications to interact with Google’s ecosystem.
    Downloads: 22 This Week
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  • 5
    Parser for Rust source code

    Parser for Rust source code

    Parser for Rust source code

    Parser for Rust source code is a major Rust crate for parsing Rust source code (token streams) into a syntax tree (AST) that procedural macros can inspect or transform. The primary target is macro authors: you can parse TokenStreams into syn::File, syn::Item, syn::Expr, syn::Type, etc. It offers rich data structures, fine-grained parsing, span tracking (for error reporting), traversal and mutation APIs (visit, fold, visit_mut), printing back to tokens, and strong feature-gating so you only compile what you need. ...
    Downloads: 3 This Week
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  • 6
    go-ast-book

    go-ast-book

    Go Language Customization Guide

    ...It explains how Go source files can be represented as semantically equivalent AST structures. The book focuses on the standard library packages behind this process, especially go/ast and go/token. It shows how tools such as formatting, documentation, parsing, and code analysis are built on top of syntax tree concepts. The repository includes chapter files, appendices, images, configuration, and build tooling for publishing the book online. It is aimed at Go developers who want to go beyond normal application programming and understand how Go code can be inspected, transformed, generated, and extended.
    Downloads: 0 This Week
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  • 7
    weixin-java-mp-demo

    weixin-java-mp-demo

    Based on Spring Boot and WxJava implementation of WeChat

    ...The repository serves as a practical starting point for developers who want to integrate messaging, user management, and other public account capabilities into Java applications. It showcases typical server-side patterns such as request handling, message routing, and token management in a clean, runnable demo environment. The project supports multi–official account configurations, making it suitable for systems that manage several WeChat public accounts from a single backend. By providing ready-to-run examples, it helps developers quickly understand the integration flow between Spring Boot and WeChat APIs. ...
    Downloads: 0 This Week
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  • 8
    Twitter for PHP

    Twitter for PHP

    Twitter API for Laravel 5.5+, 6.x, 7.x & 8.x

    Twitter API for Laravel 10.x, 11.x (and new versions as they are released). Also supports other frameworks via PHP-DI (or feel free to add support for your framework via PR). You need to create an application and create your access token in the Application Management.
    Downloads: 5 This Week
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  • 9
    hfapigo

    hfapigo

    Unofficial (Golang) Go bindings for the Hugging Face Inference API

    (Golang) Go bindings for the Hugging Face Inference API. Directly call any model available in the Model Hub. An API key is required for authorized access. To get one, create a Hugging Face profile.
    Downloads: 5 This Week
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  • 10
    OpenID Connect SDK for Go

    OpenID Connect SDK for Go

    Easy to use OpenID Connect client and server library written for Go

    This project is an easy-to-use client (RP) and server (OP) implementation for the OIDC (OpenID Connect) standard written for Go. The RP is certified for the basic and config profile.
    Downloads: 3 This Week
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  • 11
    Text Generation Inference

    Text Generation Inference

    Large Language Model Text Generation Inference

    Text Generation Inference is a high-performance inference server for text generation models, optimized for Hugging Face's Transformers. It is designed to serve large language models efficiently with optimizations for performance and scalability.
    Downloads: 10 This Week
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  • 12
    MCP Text Editor

    MCP Text Editor

    Provides line-oriented text file editing capabilities

    The MCP Text Editor Server provides line-oriented text file editing capabilities through a standardized API, optimized for integration with Large Language Models (LLMs). It enables efficient partial file access, minimizing token usage while ensuring safe concurrent editing.
    Downloads: 6 This Week
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  • 13
    DevDocs by CyberAGI

    DevDocs by CyberAGI

    Completely free, private, UI based Tech Documentation MCP server

    ...Instead of sending entire documents to a language model, DevDocs organizes documentation into sections so that only the most relevant portions are retrieved during a query. This approach reduces token usage and improves the accuracy of responses generated by AI coding assistants. The platform is designed to integrate easily with modern developer tools and AI environments such as Cursor, Cline, and Claude-based workflows. It includes a user interface that allows developers to browse documentation repositories and connect them to AI systems while keeping the data private.
    Downloads: 1 This Week
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  • 14
    InfiAgent

    InfiAgent

    Build your own Cowork, AI Scientist and other SoTA Agents

    ...Designed as a “Multi-Level Agent” (MLA) system, it externalizes persistent state to the file system so that agents can operate over unlimited runtime without the need for token-intensive context compression, enabling workflows such as research paper drafting, experiments, coding, and document generation to run reliably. The framework uses a serial multi-agent hierarchy where specialized agents coordinate in tree-structured paths for clear task delegation and minimal tool conflicts, while batch file operations and persistent workspaces ensure reproducibility and traceability. ...
    Downloads: 2 This Week
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  • 15
    Vectorize MCP Server

    Vectorize MCP Server

    Official Vectorize MCP Server

    The Vectorize MCP Server is a Model Context Protocol server that integrates with Vectorize, offering advanced vector retrieval and text extraction capabilities. ​
    Downloads: 2 This Week
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  • 16
    Tribler

    Tribler

    Privacy enhanced BitTorrent client with P2P content discovery

    Tribler is a decentralized, privacy-enhanced BitTorrent client developed by researchers at Delft University of Technology. It introduces built-in anonymity using a Tor-like onion routing network and integrates its own blockchain for economic incentives and trust management. Tribler supports standard torrenting features along with distributed search, self-contained channels, and peer reputation. Its goal is to provide a fully autonomous file-sharing network without relying on external...
    Downloads: 25 This Week
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  • 17
    ProxyPal

    ProxyPal

    A desktop app that lets you use your AI subscriptions

    ...By wrapping a CLI-based proxy API with an intuitive graphical interface, ProxyPal bridges your paid AI services into environments that don’t natively support them, allowing tools like text editors, terminals, and IDE plugins to route requests through a centralized proxy endpoint. This enables developers to use their own AI credentials and models consistently across different clients while monitoring usage, token counts, and performance in real time. ProxyPal detects installed AI clients and partially auto-configures settings, tracks analytics like success rates and response times, and supports multiple OS platforms.
    Downloads: 31 This Week
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  • 18
    camofox-browser

    camofox-browser

    Headless browser automation server for AI agents to visit sites

    ...The project is designed around a REST API, making it easier for agents and external tools to create tabs, navigate pages, click elements, type input, scroll, capture screenshots, and manage browsing sessions programmatically. Instead of returning large volumes of raw HTML, it emphasizes accessibility snapshots and stable element references, which reduces token usage and creates more reliable interaction flows for AI-driven browsing. It also supports practical operational features such as per-user session isolation, cookie importing for authenticated browsing, proxy and GeoIP routing.
    Downloads: 68 This Week
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  • 19
    Model Context Protocol TypeScript SDK

    Model Context Protocol TypeScript SDK

    The official Typescript SDK for Model Context Protocol servers

    The TypeScript SDK for Model Context Protocol simplifies integration with the Model Context Protocol, enabling developers to interact with AI models effectively.
    Downloads: 3 This Week
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  • 20
    OpenMonoAgent

    OpenMonoAgent

    Terminal-native coding agent powered by local LLMs

    OpenMonoAgent.ai is a self-hosted coding agent designed to run entirely on the user’s own hardware. It pairs a .NET CLI with a local llama.cpp inference server so developers can use agentic coding workflows without cloud subscriptions or per-token billing. The project emphasizes privacy, local control, and ownership of the model, compute, and project data. It includes a terminal-native workflow, built-in tools, Docker sandboxing, and code intelligence features. The system can run on CPU or GPU and is designed to auto-configure itself when possible. OpenMonoAgent.ai is best suited for developers who want a local AI development stack with no API keys, no cloud dependency, and no telemetry.
    Downloads: 0 This Week
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  • 21
    RecursiveMAS

    RecursiveMAS

    Offical Implementation for "Recursive Multi-Agent Systems"

    ...It also incorporates an inner–outer loop training approach that optimizes the entire system collectively rather than tuning each agent separately. This design improves efficiency, reduces token usage, and stabilizes learning during iterative reasoning.
    Downloads: 0 This Week
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  • 22
    XXL-SSO

    XXL-SSO

    A distributed single-sign-on framework

    ...It enables users to log in once and gain access to various systems without needing to reauthenticate, improving both user experience and security. The project is built with scalability in mind, supporting distributed environments where multiple services need to share identity information. It likely includes token-based authentication mechanisms, session management, and support for standard protocols. The system emphasizes reliability and ease of integration, making it suitable for enterprise applications. It may also include administrative tools for managing users, permissions, and access policies. Overall, xxl-sso provides a robust solution for managing identity across complex systems.
    Downloads: 0 This Week
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  • 23
    Streamdown

    Streamdown

    Streaming markdown renderer for AI apps with smooth updates

    ...Streamdown is built to handle partial Markdown input gracefully, progressively enhancing the output as more text becomes available. It is especially relevant for chat interfaces, coding assistants, and any environment where responses are streamed token by token. Streamdown emphasizes performance and simplicity, ensuring that developers can integrate it without unnecessary complexity. It prioritizes correctness in Markdown rendering while maintaining responsiveness during continuous updates. Overall, it serves as a practical solution for improving the user experience of real-time generated text displays.
    Downloads: 0 This Week
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  • 24
    MiniOneRec

    MiniOneRec

    Minimal reproduction of OneRec

    ...The framework provides an end-to-end pipeline for building generative recommender systems, including semantic identifier construction, supervised fine-tuning, and reinforcement learning-based optimization. Semantic IDs are created using techniques such as quantized variational autoencoders to convert item features into token sequences that can be modeled by transformer architectures. Developers can train and evaluate recommendation models using different backbone language models while benefiting from the generative framework’s parameter efficiency and scalability.
    Downloads: 0 This Week
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  • 25
    MoBA

    MoBA

    MoBA: Mixture of Block Attention for Long-Context LLMs

    MoBA, short for Mixture of Block Attention, is an open-source research implementation of a novel attention mechanism designed to improve the efficiency of large language models processing extremely long contexts. The architecture adapts ideas from Mixture-of-Experts networks and applies them directly to the attention mechanism of transformer models. Instead of forcing each token to attend to every other token in the sequence, MoBA divides the context into blocks and dynamically routes queries to only the most relevant segments of information. This routing strategy reduces the computational cost associated with traditional attention while preserving performance on reasoning and long-context tasks. The approach allows language models to scale to significantly longer input contexts without the quadratic computational cost normally associated with transformer attention mechanisms.
    Downloads: 0 This Week
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