Showing 4 open source projects for "columba source code"

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  • 1
    Codai

    Codai

    Codai is an AI code assistant that helps developers

    Codai is an AI code assistant designed to help developers efficiently manage their daily tasks through a session-based CLI, such as adding new features, refactoring, and performing detailed code reviews. What makes codai stand out is its deep understanding of the entire context of your project, enabling it to analyze your code base and suggest improvements or new code based on your context. This AI-powered tool supports multiple LLM providers, such as OpenAI, Azure OpenAI, Ollama, Anthropic,...
    Downloads: 6 This Week
    Last Update:
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  • 2
    grepai

    grepai

    Semantic Search & Call Graphs for AI Agents

    grepai is a privacy-first, semantic code search CLI designed to replace traditional keyword-based search with meaning-aware queries, letting developers and code tools find relevant code by what it does rather than just text matches. It builds a semantic index of a project using vector embeddings, enabling natural language queries like “authentication logic” to return contextually relevant functions and modules even when naming differs dramatically, making code exploration far more intuitive....
    Downloads: 2 This Week
    Last Update:
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  • 3
    E2B Infra

    E2B Infra

    Infrastructure for AI code interpreting that's powering E2B

    E2B Infra is an infrastructure management tool that simplifies the deployment and scaling of applications across cloud environments, focusing on automation and efficiency.
    Downloads: 1 This Week
    Last Update:
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  • 4
    Beads

    Beads

    A memory upgrade for your coding agent

    ...By leveraging Git as the storage backbone, the project ensures that memory is persistent, diffable, and sharable, with the ability to roll back, branch, or merge memory states just like source code.
    Downloads: 0 This Week
    Last Update:
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    Plug Claude into your app's actual errors.

    AppSignal's MCP server hands Claude, Cursor, or Zed your real errors, traces, and the deploy that shipped them. AI writes the fix; you review the diff.
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