Showing 4 open source projects for "evidence"

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    REA: Reverse Engineer Anything

    REA: Reverse Engineer Anything

    Reverse engineer anything with agents, from app behavior

    REA (Reverse Engineer Anything) is an open-source, AI-powered reverse engineering toolkit that enables developers and AI agents to analyze software applications, native binaries, and runtime behavior. The platform uses the Model Context Protocol (MCP) to connect AI coding assistants with tools for inspecting compiled code, application structures, and software functionality. It supports reverse engineering of native executables, JavaScript and Electron applications, .NET assemblies, Android...
    Downloads: 344 This Week
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  • 2
    TencentDB Agent Memory

    TencentDB Agent Memory

    TencentDB Agent Memory delivers fully local long-term memory for AI

    ...For personalization, it organizes memory from raw conversations into atoms, scenarios, and persona-level knowledge. The design keeps high-level memory inspectable while preserving a drill-down path back to raw evidence. It is built for OpenClaw and Hermes-style agent workflows that need lower token usage, better continuity, and no external API dependency.
    Downloads: 10 This Week
    Last Update:
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  • 3
    Codex with ChatGPT

    Codex with ChatGPT

    ChatGPT thinks. Codex works. Use ChatGPT as the planning brain

    ...ChatGPT can request only the workspace information, files, search results, Git status, diffs, test status, and execution records it needs. After Codex makes changes, ChatGPT can independently inspect the actual diff and test evidence before continuing the loop. The bridge uses OAuth, one-time pairing, workspace boundaries, path containment, and sensitive-file blocking to limit access. Setup and updates are designed to be largely automated through a Codex skill, with Cloudflare tunneling used to expose the local read-only bridge when needed.
    Downloads: 8 This Week
    Last Update:
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  • 4
    Kanwas

    Kanwas

    Shared context board for teams and agents

    Kanwas is an open-source shared context board built for teams and AI agents working together in the same workspace. It gives people and agents a common canvas where documents, evidence, decisions, notes, tasks, embeds, and outputs can live side by side. Instead of scattering context across chats, documents, and disconnected tools, Kanwas turns messy collaborative work into a shared visual environment that both humans and agents can read and update. The platform supports real-time collaboration, visible agent tool calls, and a timeline that makes AI activity easier to follow and audit. ...
    Downloads: 2 This Week
    Last Update:
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