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nicepkg avatar

nicepkg/gpt-runner

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View on GitHub↗
381 stars·46 forks·TypeScript·MIT·4 vuesgithub.com/nicepkg/gpt-runner↗

Gpt Runner

Conversations with your files! Manage and run your AI presets!

Features

  • Research and Analysis Agents - Local-first agent for interacting with and querying local project files.
  • Programming Tools - Tool for managing AI presets and interacting with code files.

Historique des stars

Graphique de l'historique des stars pour nicepkg/gpt-runnerGraphique de l'historique des stars pour nicepkg/gpt-runner

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Questions fréquentes

Que fait nicepkg/gpt-runner ?

Conversations with your files! Manage and run your AI presets!

Quelles sont les fonctionnalités principales de nicepkg/gpt-runner ?

Les fonctionnalités principales de nicepkg/gpt-runner sont : Research and Analysis Agents, Programming Tools.

Quelles sont les alternatives open-source à nicepkg/gpt-runner ?

Les alternatives open-source à nicepkg/gpt-runner incluent : bloopai/bloop — Bloop is an AI code analysis tool and semantic search engine designed for understanding and querying large-scale… caleb-allen/vimbindings.jl — Vim emulation in the Julia REPL. chat2db/chat2db — Chat2DB is an AI-powered SQL client and multi-database management GUI. It serves as a centralized graphical interface… di-sukharev/opencommit — Opencommit is a command-line tool and automation suite that uses large language models to analyze staged changes and… follgad/godmode-gpt — Godmode.space. Reached one million users in 3 months. biobootloader/wolverine — Wolverine is an AI code repair tool and self-healing Python runtime designed to monitor scripts for runtime crashes…

Alternatives open source à Gpt Runner

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  • biobootloader/wolverineAvatar de biobootloader

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    5,083Voir sur GitHub↗

    Wolverine is an AI code repair tool and self-healing Python runtime designed to monitor scripts for runtime crashes and automatically recover the source code. It functions as an automated script recovery tool that identifies failures and utilizes large language models to propose and apply corrections. The system operates through an iterative debugging cycle that captures traceback data and feeds it back into a language model to refine fixes through trial and error. To ensure safety, it includes a human-in-the-loop verification mechanism that requires manual approval before generated code chan

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  • Voir les 28 alternatives à Gpt Runner→