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2 Repos

Awesome GitHub RepositoriesDynamic Path Interpolation

Mechanisms for renaming files and folders based on variable substitution during generation.

Distinct from Path Variable Resolvers: Distinct from Path Variable Resolvers by focusing on renaming the filesystem structure rather than resolving data paths.

Explore 2 awesome GitHub repositories matching development tools & productivity · Dynamic Path Interpolation. Refine with filters or upvote what's useful.

Awesome Dynamic Path Interpolation GitHub Repositories

Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
  • audreyr/cookiecutterAvatar von audreyr

    audreyr/cookiecutter

    24,951Auf GitHub ansehen↗

    Cookiecutter is a cross-platform command-line interface tool for project scaffolding and template generation. It functions as a project templating CLI and variable orchestrator that creates standardized software project boilerplates across different operating systems and programming languages. The tool generates project directory structures from predefined templates using variable substitution. It supports the retrieval of template source code from remote Git repositories and utilizes a definition file to prompt users for configuration values to personalize the resulting files and folder stru

    Allows directory and file names within the template to be dynamically renamed using user-defined configuration values.

    Python
    Auf GitHub ansehen↗24,951
  • volcengine/openvikingAvatar von volcengine

    volcengine/OpenViking

    2,993Auf GitHub ansehen↗

    OpenViking is a multi-tenant context server and knowledge base administration system designed to provide AI agents with persistent long-term memory. It enables the indexing of diverse documents and codebases to support retrieval-augmented generation, allowing agents to recall past interactions, user preferences, and learned experiences across sessions. The project is distinguished by its use of a URI-based virtual filesystem to organize memories, resources, and skills. It implements a tiered context loading system that balances retrieval precision with token budgets by structuring data into a

    Creates resource identifiers on the fly using path variables to organize time-series data like logs.

    Pythonagentagentic-ragai-agents
    Auf GitHub ansehen↗2,993
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