Showing 7 open source projects for "search software"

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  • 1
    Sourcebot

    Sourcebot

    Tool that helps humans and agents understand your codebase

    ...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. Overall, it acts as an AI-powered layer for exploring and understanding software systems at scale.
    Downloads: 6 This Week
    Last Update:
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  • 2
    DeepSeek-Reasonix

    DeepSeek-Reasonix

    DeepSeek-native AI coding agent for your terminal

    ...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: 6 This Week
    Last Update:
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  • 3
    MCP Agent Mail

    MCP Agent Mail

    Asynchronous coordination layer for AI coding agents

    ...Git stores human-auditable communication artifacts, while SQLite supports indexing, search, and operational queries. The HTTP-only FastMCP server works with clients such as Claude Code, Codex, Gemini CLI, and other MCP-compatible tools. Additional capabilities include acknowledgments, project directories, product-wide communication, build slots, deployment helpers, and integration with dependency-aware task tracking.
    Downloads: 11 This Week
    Last Update:
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  • 4
    security-audit

    security-audit

    A coding-agent skill for multi-phase security audits

    security-audit is a coding-agent skill for running structured security audits on software repositories. It organizes the audit into multiple phases so the agent does not simply search randomly for vulnerabilities. The workflow begins with reconnaissance, then moves into parallel hunting across attack classes such as injection, access control, business logic, cryptography, feature abuse, and chained attacks. Findings are then challenged through separate validation agents to reduce false positives. ...
    Downloads: 0 This Week
    Last Update:
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  • Demo Series - Small Business Backup By Veeam Icon
    Demo Series - Small Business Backup By Veeam

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  • 5
    DevProjex

    DevProjex

    Turn any codebase into clean AI-ready context: GUI, TUI, CLI, MCP

    DevProjex turns any folder or Git repository into clean, token-efficient context for AI assistants and coding agents, and shows exactly what leaves your machine before you send it. Use it as a desktop app (GUI), a keyboard-first terminal workspace (TUI), a scriptable CLI for CI, or a read-only MCP server for Claude Code, Cursor, and other agents. An open-source alternative to Repomix, gitingest, and code2prompt, with a visual file tree and live preview. Smart Ignore drops build output,...
    Downloads: 1 This Week
    Last Update:
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  • 6
    DeepCode for Visual Studio Code

    DeepCode for Visual Studio Code

    DeepCode extension for Visual Studio Code

    DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers...
    Downloads: 1 This Week
    Last Update:
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  • 7
    Ornith-1.0

    Ornith-1.0

    Open reasoning model for agentic coding and tool workflows

    Ornith-1.0 is a large open-source reasoning model from DeepReinforce, built for agentic coding, tool use, and complex software engineering workflows. It is part of the Ornith 1.0 family, which includes dense and MoE models post-trained on Gemma 4 and Qwen 3.5. The model focuses on coding-agent performance across benchmarks such as Terminal-Bench, SWE-Bench, NL2Repo, OpenClaw, and ClawEval. Its training uses a self-improving reinforcement learning framework that optimizes not only solution attempts but also the scaffolds that guide those attempts, helping the model discover better search paths and produce higher-quality solutions. ...
    Downloads: 0 This Week
    Last Update:
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