Showing 7 open source projects for "time code"

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  • 1
    Pro Workflow

    Pro Workflow

    Claude Code learns from your corrections: self-correcting memory

    Pro Workflow is a productivity framework for Claude Code that introduces self-improving workflows through memory, context engineering, and structured agent orchestration. The system learns from user corrections over time, storing feedback and refining its behavior across sessions to improve accuracy and efficiency. It supports advanced development setups such as parallel worktrees, enabling multiple tasks to be handled simultaneously without interference.
    Downloads: 1 This Week
    Last Update:
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  • 2
    web-access

    web-access

    Skill for installing full networking capabilities for Claude Code

    web-access is a tool designed to give AI agents structured and controlled access to web content, enabling them to retrieve, navigate, and process information from online sources in real time. It abstracts common web interactions such as page loading, data extraction, and navigation into reusable functions that can be invoked by agents. The system emphasizes safety and control, likely including mechanisms to manage permissions, rate limits, and content filtering. This allows agents to operate...
    Downloads: 3 This Week
    Last Update:
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  • 3
    Open Claude Cowork

    Open Claude Cowork

    Open Source version of Claude Cowork built with Claude Code

    Open Claude Cowork is an open source desktop chat application that brings the power of autonomous, agent-style AI workflows to your local machine by combining the Claude Agent SDK with the Composio Tool Router, enabling developers and power users to build intelligent assistants that can interact with a vast array of external tools and services. It offers a native Electron-based interface for macOS, Windows, and Linux that feels familiar and modern, supporting persistent, multi-session...
    Downloads: 41 This Week
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  • 4
    Evolver

    Evolver

    The GEP-Powered Self-Evolution Engine for AI Agents

    Evolver is the core engine behind EvoMap and is positioned as a self-evolution system for AI agents rather than a conventional application framework. Its purpose is to turn isolated prompt adjustments into reusable, auditable evolution assets, giving agent teams a more structured way to improve behavior over time. The project uses a protocol-constrained approach centered on concepts such as genes, capsules, and events, which are stored as structured assets and selected through signal matching logic. It also depends on Git as part of its operating model, using repository state for rollback, blast-radius calculation, and solidification workflows, which makes it especially relevant for code-centric agent environments. ...
    Downloads: 3 This Week
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  • 5
    Superagent

    Superagent

    Superagent protects your AI applications

    Superagent is an open-source AI safety platform built to protect applications from prompt injections, data leaks, and harmful outputs. It embeds real-time safety directly into AI workflows, helping teams secure models before threats cause damage. Superagent provides guardrails that block jailbreaks, prompt manipulation, and sensitive data exfiltration. It includes redaction tools to remove PII, PHI, and secrets automatically from text. The platform also scans code repositories to detect AI-specific attack vectors like repo poisoning. ...
    Downloads: 0 This Week
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  • 6
    CodinIT.dev

    CodinIT.dev

    Free, local, open-source AI app builder

    ...All source code remains on your device and integrates seamlessly with your preferred IDE. A natural-language API enables powerful data queries and updates, automating tasks without leaving the chat interface. By running entirely locally, CodinIT.dev delivers maximum privacy, minimal latency, and smooth developer experiences free from cloud-based inconsistencies.
    Downloads: 25 This Week
    Last Update:
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  • 7
    DevOpsGPT

    DevOpsGPT

    Multi agent system for AI-driven software development

    ...This innovative feature greatly improves development efficiency, shortens development cycles, and reduces communication costs, resulting in higher-quality software delivery. The automated software development process significantly reduces delivery time, accelerating software deployment and iterations. By accurately understanding user requirements, DevOpsGPT minimizes the risk of communication errors and misunderstandings, enhancing collaboration efficiency between development and business teams. DevOpsGPT generates code and performs validation, ensuring the quality and reliability of the delivered software.
    Downloads: 2 This Week
    Last Update:
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