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Showing 7 open source projects for "control"
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Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
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chrome-cdp
Give your AI agent access to your live Chrome session
chrome-cdp-skill is a specialized integration that enables AI agents to control and interact with web browsers through the Chrome DevTools Protocol (CDP). It allows agents to perform tasks such as navigating pages, extracting data, interacting with elements, and executing scripts in a browser environment. The project is designed to extend the capabilities of AI systems beyond static knowledge by giving them real-time access to web content and interactive interfaces. -
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ego (lite)
The fastest browser for AI agents to run web automation
...Agents interact through JavaScript tools for navigation, snapshots, form entry, clicks, waiting, and captures. Browser data remains on the device, and users can observe, stop, or take control of an agent's Space. Windows and Linux versions are listed as future work rather than currently supported releases. -
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Steel Browser
Open Source Browser API for AI Agents & Apps
Steel Browser is a privacy-focused web browser built with security and performance optimizations, designed to minimize tracking and enhance user control. -
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web-access
Skill for installing full networking capabilities for Claude Code
...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 within defined boundaries while still benefiting from dynamic, up-to-date information. The architecture supports integration with broader agent frameworks, making it a key component for building systems that require external knowledge. ... -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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NemoClaw
NVIDIA plugin for secure installation of OpenClaw
...It installs and configures the NVIDIA OpenShell runtime, which provides a secure environment for running autonomous AI agents. NemoClaw enables users to launch sandboxed agent environments that control network access, file permissions, and inference requests through policy-based security. The platform integrates with AI models such as NVIDIA Nemotron and supports multiple inference backends including cloud APIs, local NIM deployments, and vLLM. Through its command-line interface, developers can deploy, monitor, and manage AI assistants running inside isolated sandboxes. ... -
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ClawSweeper
ClawSweeper scans all issues and PRs
ClawSweeper is an AI-assisted maintenance bot that scans GitHub issues and pull requests to suggest which items may be safe to close. It is designed for open-source maintainers who accumulate stale discussions, outdated reports, duplicate requests, or abandoned contributions over time. The project runs across issues and PRs on a scheduled basis, reviewing each item and producing a reasoned recommendation instead of simply closing content automatically. Its goal is to reduce maintainer... -
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SuperAGI
A dev-first open source autonomous AI agent framework
...Connect to multiple Vector DBs to enhance your agent’s performance. Each agent is unique, use different models of your choice. Get insights into your agent’s performance and optimize accordingly. Control token usage to manage costs effectively. Enable your agents to learn and adapt by storing their memory. Get notified when agents get stuck in the loop, and provide proactive resolution. Read and store files generated by Agents.
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