Showing 793 open source projects for "mac"

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  • 1
    HelixDB

    HelixDB

    Graph-vector database for building unified AI backends fast

    HelixDB is an open source database designed to unify multiple data storage paradigms into a single platform tailored for AI-driven applications. It combines graph and vector data models, allowing developers to manage relationships and embeddings within the same system without relying on separate services. HelixDB is built from scratch in Rust and uses LMDB as its storage engine, enabling high performance and low-latency query execution. HelixDB also supports additional data formats such as...
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  • 2
    DeepReasoning

    DeepReasoning

    High-performance API combining reasoning and creative AI models

    DeepReasoning is a high-performance large language model inference API designed to unify advanced reasoning and creative generation capabilities into a single system. It combines DeepSeek R1’s chain-of-thought reasoning with Claude’s strengths in code generation and conversational output, enabling more capable and balanced responses. DeepReasoning provides both an API and a chat interface, allowing developers and users to interact with the combined models in a streamlined way. It emphasizes...
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  • 3
    Rig

    Rig

    Rust framework for building modular and scalable LLM-powered apps

    Rig is an open source Rust framework designed to help developers build modular and scalable applications powered by large language models. It provides a unified set of abstractions that allow applications to interact with many AI model providers and vector databases through a single interface. Its architecture emphasizes modularity, enabling developers to integrate only the components and integrations they need for a specific application. Rig includes built-in support for agent workflows,...
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  • 4
    Code2Prompt

    Code2Prompt

    Convert codebases into structured prompts optimized for LLM analysis

    code2prompt is an open source command line tool designed to convert an entire codebase into a structured prompt that can be easily used with large language models. It analyzes a project directory, gathers relevant source files, and formats them into a single prompt that includes the source tree and code content. This approach helps developers quickly provide full project context to AI models without manually copying files or assembling prompts. code2prompt is built in Rust and focuses on...
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  • 5
    Grafbase

    Grafbase

    The Grafbase GraphQL Federation Gateway

    Grafbase is an open-source GraphQL federation gateway and API platform designed to unify multiple backend services and data sources into a single, high-performance GraphQL interface. The project provides a Rust-based gateway that acts as the central layer for composing and managing distributed APIs, particularly in microservice architectures where data may come from many independent systems. By supporting GraphQL federation standards, the platform enables teams to combine multiple subgraphs...
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  • 6
    rust-bert

    rust-bert

    Rust native ready-to-use NLP pipelines and transformer-based models

    rust-bert is a Rust-based implementation of transformer-based natural language processing models that provides ready-to-use pipelines for tasks such as text classification, summarization, and question answering. The project ports many capabilities of the Hugging Face Transformers ecosystem into the Rust programming language. It allows developers to run state-of-the-art NLP models like BERT, GPT-2, and DistilBERT directly within Rust applications while maintaining high performance and memory...
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  • 7
    LangChain Rust

    LangChain Rust

    LangChain for Rust, the easiest way to write LLM-based programs

    LangChain Rust is an open-source Rust implementation inspired by the LangChain ecosystem for building applications powered by large language models. The library aims to provide Rust developers with a structured framework for orchestrating prompts, chains, agents, and external tools within LLM-driven workflows. By adapting LangChain concepts to the Rust programming language, the project emphasizes performance, safety, and efficient memory management. Developers can use the framework to build...
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  • 8
    Korvus

    Korvus

    Korvus is a search SDK that unifies the entire RAG pipeline

    Korvus is an open-source retrieval-augmented generation (RAG) pipeline designed to run entirely inside PostgreSQL, allowing developers to build AI search and knowledge systems directly within a database environment. The project consolidates the typical steps of a RAG pipeline—including embedding generation, document retrieval, reranking, and text generation—into a single query executed within the Postgres ecosystem. By leveraging PostgresML and vector extensions such as pgvector, Korvus...
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  • 9
    lumen

    lumen

    Beautiful git diff viewer, generate commits with AI

    Lumen is an open-source command-line developer tool that enhances Git workflows by combining advanced diff visualization with AI-powered code assistance. The tool provides an ergonomic interface for reviewing code changes directly in the terminal, offering syntax-highlighted diffs and structured output to make change analysis easier. In addition to displaying differences between commits, Lumen integrates AI services that can explain code changes, generate commit messages, and assist with Git...
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  • 10
    ZeroClaw

    ZeroClaw

    Fast, small, and fully autonomous AI assistant infrastructure

    ZeroClaw is a Rust-native autonomous AI agent framework engineered for teams and developers who need highly efficient, secure, and modular AI automation infrastructure that can run reliably in both production and self-hosted environments. It is designed around a trait-based architecture so that model providers, communication channels, memory systems, and tooling integrations can be swapped or extended without rewriting core components, giving engineers flexibility and long-term...
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  • 11
    LiteBox

    LiteBox

    A security-focused library OS supporting kernel execution

    LiteBox is a security-focused “library OS” sandboxing project that aims to shrink the interface between an application and its host environment to reduce attack surface. Instead of relying solely on broad OS-level permissions, it focuses on isolating workloads by tightly controlling the boundary where code interacts with host services and system resources. The design emphasizes interoperability across different integration layers, describing a separation between “North” shims (how apps or...
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  • 12
    GitButler

    GitButler

    The GitButler version control client, backed by Git

    GitButler is a modern Git-based version control client that pairs a graphical desktop experience with a complementary command-line tool, aiming to make everyday change management easier than traditional Git workflows. It keeps Git compatibility at the core, meaning your work still maps to commits, branches, and pushes to standard Git servers, but it rethinks how you interact with that underlying model. The project is designed around developer productivity, emphasizing smoother workflows for...
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  • 13
    Gitlogue

    Gitlogue

    A cinematic Git commit replay tool for the terminal

    Gitlogue provides a fun and creative command-line tool that turns your Git commit history into an animated replay, displaying your commits as if someone were typing the changes in real time with cinematic flair. When you run this tool in the terminal, it visually replays diffs line by line, highlights syntax, and shows changes evolving in a way that feels like watching a code story unfold, which can be entertaining and useful for reviewing history or showcasing progress. It builds on typical...
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  • 14
    ttl

    ttl

    Fast, modern traceroute with real-time TUI, per-hop stats

    ttl is a modern traceroute-style network diagnostic tool built to feel more like an interactive, real-time “mtr replacement” than a one-shot traceroute dump. It uses a full-screen terminal UI to continuously probe paths and refresh hop-by-hop measurements, which makes transient loss, jitter, and routing changes much easier to spot. The design emphasizes per-hop visibility with live statistics, and it enriches what you see by resolving network identity details like ASN and geolocation when...
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  • 15
    MongoDB Rust Driver

    MongoDB Rust Driver

    The official MongoDB Rust Driver

    The MongoDB Rust Driver is a native, idiomatic Rust client for MongoDB that gives systems software and back-end services the ability to interact with MongoDB from safe, performant Rust code. It makes extensive use of Rust’s ownership and type systems to ensure memory safety, thread safety, and predictable performance without garbage collection overhead. The driver supports common MongoDB features like CRUD operations, indexing, aggregations, change streams, and transactions, enabling full...
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  • 16
    libsignal

    libsignal

    Home to the Signal Protocol and other cryptographic primitives

    libsignal is the foundational cryptographic library that implements the Signal Protocol and other essential primitives used across the official Signal clients and servers, enabling secure end-to-end encrypted communication. Written primarily in Rust with bindings and APIs surfaced for Java, Swift, and TypeScript, this library encapsulates critical algorithms like the Double Ratchet, prekey mechanisms, secure key storage, and zero-knowledge group primitives, along with additional utilities...
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  • 17
    Russh

    Russh

    Rust SSH client & server library

    Russh provides a Rust library for implementing SSH clients and servers with a modern, async-friendly design. It exposes building blocks for authentication, channel management, port forwarding, and key handling, allowing you to embed SSH functionality directly into Rust applications. The API is designed to be explicit and composable, making it possible to implement custom behaviors like reverse tunnels, interactive shells, and service multiplexing. Because performance and safety are central,...
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  • 18
    s2n-quic

    s2n-quic

    An implementation of the IETF QUIC protocol

    s2n-quic is AWS’s open-source implementation of the IETF QUIC transport protocol, written in Rust and designed for performance, security, and modern usage. QUIC is a UDP-based, multiplexed, encrypted transport layer that underpins HTTP/3 and addresses issues such as head-of-line blocking and faster handshake times compared to TCP+TLS. This library integrates with AWS’s s2n-tls or rustls for the TLS 1.3 handshake and leverages Rust’s memory and thread safety guarantees to deliver a robust...
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  • 19
    Autocxx

    Autocxx

    Tool for safe ergonomic Rust/C++ interop driven from existing C++

    autocxx is an open source Rust tool and procedural macro designed to enable automatic, safe interoperability between C++ and Rust. It integrates the functionality of bindgen (for parsing and generating Rust bindings from C++ headers) with cxx (for safe and idiomatic Rust–C++ communication), automating the creation of bridges between the two languages. With autocxx, developers can include C++ headers directly in Rust source code and automatically generate bindings for the corresponding C++...
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  • 20
    Mangle

    Mangle

    Go library for Datalog-style logical reasoning and domain modeling

    Mangle is a programming language developed by Google for deductive database programming, serving as an advanced extension of Datalog. It is designed to unify and query data from multiple sources in a structured, declarative way while allowing developers to model complex relationships and domain knowledge beyond binary predicates. Mangle enhances traditional Datalog by introducing features such as aggregation, function calls, and optional type-checking, which make it more practical for modern...
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  • 21
    Flox

    Flox

    Developer environments you can take with you

    Flox is a portable, reproducible developer-environment and package-management system that lets you compose and share per-project stacks across the full software lifecycle. Instead of snowflake machines, teams define environments that layer or replace dependencies exactly where needed, then activate the same environment locally, in CI, or on production hosts. The GitHub repo and docs present a developer-first UX, plus integrations such as a VS Code extension that makes activating and working...
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  • 22
    FHEVM

    FHEVM

    Integrate FHE with blockchain applications

    FHEVM is a framework built by Zama to enable confidential smart contracts on EVM-compatible blockchains using Fully Homomorphic Encryption (FHE). It lets developers write Solidity contracts that handle encrypted inputs, encrypted state, arithmetic and logical operations on encrypted types, while maintaining privacy (data always encrypted), composability (encrypted state works alongside public state), and security (via threshold decryption, KMS, etc). The framework includes on-chain and...
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  • 23
    RustPython

    RustPython

    A Python Interpreter written in Rust

    RustPython is an implementation of the Python programming language written in Rust. Its goal is to provide a fast, embeddable, and secure interpreter that can be integrated into Rust applications or used standalone. Because it’s in Rust, it benefits from memory safety and modern tooling, allowing developers to compile Python into efficient binaries or embed it as a scripting engine in Rust projects. The interpreter aims to support the Python standard library, dynamic typing, garbage...
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  • 24
    Linera Protocol

    Linera Protocol

    Main repository for the Linera protocol

    Linera Protocol is a blockchain or distributed ledger architecture designed for scalable and composable execution across shared state shards. It emphasizes linearizability, causal consistency, and determinism by structuring cross-domain interactions through explicit protocols and asynchronous messaging. Each domain (shard) handles its own commands and state transparently; inter-domain operations rely on well-defined messaging layers and proofs to preserve consistency without central...
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  • 25
    MooseStack

    MooseStack

    The developer framework for building analytical backends

    MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around...
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