Showing 11 open source projects for "input-output model"

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  • 1
    MCPTools

    MCPTools

    A command-line interface for interacting with MCP

    mcptools is a command-line interface designed for interacting with Model Context Protocol (MCP) servers using both standard input/output and HTTP transport methods. It allows users to discover and call tools, list resources, and interact with MCP-compatible servers. The tool supports various output formats and includes features like an interactive shell, project scaffolding, and server alias management. ​
    Downloads: 15 This Week
    Last Update:
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  • 2
    Slack MCP Server

    Slack MCP Server

    The most powerful MCP Slack Server with no permission requirements

    ...Through this architecture, AI assistants can read message histories, interact with channels, and retrieve contextual information from Slack conversations in order to perform tasks such as automated analysis, collaboration assistance, or contextual code review. The server supports multiple communication transports, including standard input/output streams, HTTP, and Server-Sent Events, allowing flexible integration with different AI client environments.
    Downloads: 3 This Week
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  • 3
    kpt

    kpt

    Automate Kubernetes Configuration Editing

    kpt is a package-centric toolchain that enables a WYSIWYG configuration authoring, automation, and delivery experience, which simplifies managing Kubernetes platforms and KRM-driven infrastructure (e.g., Config Connector, Crossplane) at scale by manipulating declarative Configuration as Data. Any general-purpose or domain-specific language can be used to create functions to transform and/or validate the YAML KRM input/output format, but we provide SDKs to simplify the function authoring...
    Downloads: 5 This Week
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  • 4
    AIaC

    AIaC

    Artificial Intelligence Infrastructure-as-Code Generator

    aiac is a command line tool to generate IaC (Infrastructure as Code) templates, configurations, utilities, queries and more via OpenAI's API. The CLI allows you to ask the model to generate templates for different scenarios (e.g. "get terraform for AWS EC2"). It will make the request, and store the resulting code to a file, or simply print it to standard output. By default, aiac uses the same model used by ChatGPT, but allows using different models.
    Downloads: 4 This Week
    Last Update:
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  • 5
    kubectl-neat

    kubectl-neat

    Clean up Kubernetes yaml and json output to make it readable

    Remove clutter from Kubernetes manifests to make them more readable.
    Downloads: 7 This Week
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  • 6
    ENScan Go

    ENScan Go

    ENScan_GO is an enterprise information reconnaissance tool

    ...It aggregates official and third-party APIs to pull records like ICP filings, affiliated/holding companies, apps, mini-programs, and WeChat official accounts, then exports merged results for analysis. The tool targets analysts who need one-click collection and normalized output to reduce manual lookups across registries and platforms. Recent releases added a reworked task model with queueing, resumable searches via cached progress, export format options, and a public API surface for custom keyword strategies. Documentation and issues discuss operational concerns such as rate limits, verification challenges, and use of proxies to reduce bans. ...
    Downloads: 4 This Week
    Last Update:
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  • 7
    Ai-Assistant

    Ai-Assistant

    Open-source novel writing & AI coding assistant aggregating top models

    ...Precise Context Control: Individual dialogue entries can be freely edited or deleted, allowing precise mastery of context to elicit optimal AI performance. Native, Fluid Experience: Built on a proprietary lightweight GUI framework designed specifically for AI interaction, it offers smooth, typewriter‑style streaming output.
    Downloads: 7 This Week
    Last Update:
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  • 8
    Event Horizon

    Event Horizon

    Event Sourcing for Go!

    ...CQRS stands for Command Query Responsibility Segregation and is a technique where object access (the Query part) and modification (the Command part) are separated from each other. This helps in designing complex data models where the actions can be totally independent from the data output. ES stands for Event Sourcing and is a technique where all events that have happened in a system are recorded, and all future actions are based on the events instead of a single data model. The main benefit of adding Event Sourcing is traceability of changes which can be used for example in audit logging. Additionally, "incorrect" events that happened in the past (for example due to a bug) can be compensated for with an event that will make the current data "correct", as that is based on the events.
    Downloads: 7 This Week
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  • 9
    Dep

    Dep

    Go dependency management tool experiment

    Dep was an official experiment to implement a package manager for Go. While dep has many discrete components and moving parts, all of these parts revolve around a central model. Dep is a tool intended primarily for use by developers, to support the work of actually writing and shipping code. It is not intended for end users who are installing Go software - that's what go get does. It is strongly recommended that you use a released version of dep. While tip is never purposefully broken, its...
    Downloads: 1 This Week
    Last Update:
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  • 10
    Grumpy

    Grumpy

    Grumpy is a Python to Go source code transcompiler and runtime

    Grumpy is a Python-to-Go transcompiler and runtime designed as a near drop-in replacement for CPython 2.7 that compiles Python source to Go, then to native code. Instead of executing Python bytecode in a VM, Grumpy translates modules into Go code that calls a Go runtime library emulating Python semantics, which can yield performance and deployment benefits in Go ecosystems. The approach integrates with Go’s toolchain, enabling static binaries and potentially easier distribution in...
    Downloads: 0 This Week
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  • 11
    GXUI

    GXUI

    An experimental Go cross platform UI library

    ...The library encouraged idiomatic Go patterns—composition and interfaces—while offering a retained-mode tree of views for common desktop interactions. Although the project is no longer actively developed, it remains a reference for how to bridge Go’s concurrency model with UI event loops and rendering pipelines. Developers still look to it for examples of input handling, focus management, and custom drawing in pure Go environments.
    Downloads: 0 This Week
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