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Airtop is a platform for building and deploying AI-driven web agents. It compiles workflows described in natural language into deterministic agents that can log in, browse, and perform actions at scale.
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Airtop is a platform that automates Google Ads campaign management. Its Google Ads offering builds, monitors, and optimizes campaigns from a conversation, providing keyword research, campaign creation, waste audits, and performance reporting.
Hyperagent is an AI agent platform for assigning work to a fleet of agents that research, build, deliver and maintain outputs using an organization's data, tools and working style. Its agents operate through real browsers and shells, can search, code, make decisions and generate artifacts such as live websites, videos, presentations, documents and dashboards. Agents run in individual computing environments, expose their execution as it happens, and can learn new memories and skills over time. Work is delivered through Slack, email, Telegram, webhooks or scheduled runs, and agents are deployed and managed from a central command center.
OpenBot is an open-source AI agent platform from CopilotKit that gives each agent its own computer with a browser, logins, files, tools, and a dedicated interaction channel. It runs in the user's infrastructure and accepts agents that speak the AG-UI protocol, including agents built with LangGraph, Mastra, CrewAI, Pydantic AI, Google ADK, or custom code. A single gateway mediates actions involving the computer, files, MCP servers, and UI components: it decides whether an action is permitted before execution and records it afterward. Agents can operate their own browser screen, hand control to a human for restricted actions, and return component-based responses. Docker Compose runs the application components and PostgreSQL, while the administrator supplies the model credentials; the repository describes the project as alpha software under active development.
AgentOps is an open-source observability and developer-tools platform for building, evaluating, and monitoring AI agents. Its Python SDK records agent sessions and LLM calls for dashboard-based session replays, step-by-step execution graphs, debugging, analytics, cost tracking, and benchmarking. Developers instrument code with decorators for sessions, agents, operations, tasks, and workflows; these support nested span hierarchies, input and output recording, exception handling, asynchronous functions, generators, and custom attributes. The SDK provides integrations with agent frameworks and LLM systems including CrewAI, AG2/AutoGen, Agno, LangGraph, and the OpenAI Agents SDK, and the platform can be self-hosted with its dashboard and API backend. The app is released under the MIT license.
Agent-Native is an open-source TypeScript framework for building agentic applications with purpose-built user interfaces. Developers define each capability once as an action; the same action is used as an agent tool and called by the UI, with shared validation, permissions, implementation, data, and application state. Agents work through this shared action layer rather than clicking through the interface. Actions can also be exposed through HTTP, MCP, A2A, and a CLI. The framework includes agent chat, authentication and permissions, reusable skills and memory, scheduled or event-driven automations, multi-agent teams, and PostgreSQL support with PGlite for local development. It is distributed under the MIT license.
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