Showing 4 open source projects for "indexing"

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    Veeam Data Platform v13.1

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  • 1
    Zoo Code

    Zoo Code

    Zoo Code gives you a whole dev team of AI agents in your code editor

    ...Its orchestrator can delegate work, coordinate parallel subtasks, and recover parent or child tasks. Semantic code search helps agents locate relevant code without a separate indexing workflow. The project also supports many model providers, MCP servers, workspace rules, file-access controls, and safeguards against destructive commands.
    Downloads: 10 This Week
    Last Update:
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  • 2
    DeepSeek-Reasonix

    DeepSeek-Reasonix

    DeepSeek-native AI coding agent for your terminal

    ...Reasonix includes a coding mode with filesystem and shell tools, a lighter chat mode, one-shot task execution, health checks, session utilities, and project-scoped memory. It supports reviewed SEARCH/REPLACE edits, plan mode, MCP servers, web search, hooks, skills, semantic indexing, transcript replay, event logs, and cost or cache tracking. The project is especially useful for developers who want an open, terminal-first coding agent optimized for DeepSeek’s cache mechanics. It also includes a prerelease desktop client for users who prefer a GUI over the same agent loop.
    Downloads: 4 This Week
    Last Update:
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  • 3
    Sourcebot

    Sourcebot

    Tool that helps humans and agents understand your codebase

    ...The system combines fast code search with reasoning models, enabling it to traverse dependencies, follow references, and generate contextual explanations. It supports indexing multiple repositories across different platforms, making it useful for organizations with distributed codebases. Sourcebot also includes features like IDE-level navigation, file exploration, and syntax-aware search, improving developer productivity. It can be deployed locally using Docker, ensuring that code remains private and secure. ...
    Downloads: 1 This Week
    Last Update:
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  • 4
    Brokk

    Brokk

    Brokk brings code intelligence to AI

    Brokk is a code intelligence assistant framework designed to let large language models (LLMs) understand code semantically (not just as raw text) so that they can work effectively on large codebases that don’t fit wholly in a prompt context. It helps bridge the gap between LLMs and real-world engineering code by offering tooling to index, analyze, query, and augment code context, so that AI can meaningfully reason about existing code, suggest edits, and navigate across projects. Modular...
    Downloads: 2 This Week
    Last Update:
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