1. AgentsScore88

    PipesHub AI: Open-Source Context Layer for AI Agents

    PipesHub AI is an open-source context layer designed to transform company knowledge into a searchable, permission-aware workspace for AI agents. It supports over 50 connectors, including Slack, Drive, and Jira, enabling agents to navigate, cite, and grep through internal data.

    Source: pipeshub-ai/pipeshub-ai on GitHub Full analysis
  2. AI CodingScore84

    Yardlet v0.11.8: Unified App for Coding Agents

    Yardlet, a macOS application developed in Swift, offers a unified interface for running various coding agents, including Codex and Claude Code. The latest release, v0.11.8, aims to streamline the process of interacting with these AI-powered development tools.

    Source: zzunkie/yardlet on GitHub Full analysis
  3. AgentsScore89

    OpenAdapt v1.20.0: Local-First Automation for EHRs and Portals

    OpenAdapt has released version 1.20.0, introducing a local-first automation system designed for applications like EHRs and payer portals. This system allows users or agents to demonstrate tasks, which OpenAdapt then translates into deterministic programs that execute without model calls and verify each step.

    Source: OpenAdaptAI/OpenAdapt on GitHub Full analysis
  4. AgentsScore87

    iblai/os: AI Agent Platform with Real-time Chat and Voice

    The iblai/os repository offers an open-source platform for creating and deploying customizable AI agents. It supports multiple LLM providers, real-time chat, voice interactions, document training, and user management with SSO authentication. The platform is built using modern web technologies like React 19, Redux Toolkit, and Tailwind CSS.

    Source: iblai/os GitHub repository. Full analysis
  5. AgentsScore87

    Jobs Applier AI Agent: Automates Job Applications

    The Jobs Applier AI Agent is a Python-based AI web agent designed to automate job applications. It was recently released, with its latest version pushed on November 5, 2026.

    Source: feder-cr/Jobs_Applier_AI_Agent on GitHub Full analysis