by brennhill · MCP Server · ★ 54
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## Branch Policy (Read First) If you want something working, load code and run the server from . makes zero promises on regressions or issues and is treated as work in progress. Stable builds are compressed, tagged, and moved to . [ via Chrome DevTools Protocol.
AI-powered annotations for localhost development. Create visual feedback on your apps and let AI coding agents
AI agent with multi-agent orchestration, autonomous cognitive systems, and a full management dashboard
Open-source Agentic AI framework in Go for building, orchestrating, and deploying intelligent agents. LLM-agno
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BlazeTorch-AI-Devtools is Gasoline Agentic Browser MCP — Browser observability for AI coding assistants. Streams console logs, network errors, WebSocket events to Claude Code, Cursor, Windsurf, Zed via MCP. Zero dependencies. . It is categorized as a MCP Server with 54 GitHub stars.
BlazeTorch-AI-Devtools is primarily written in Go. It covers topics such as agentic-ai, agentic-workflow, automation.
You can find installation instructions and usage details in the BlazeTorch-AI-Devtools GitHub repository at github.com/brennhill/BlazeTorch-AI-Devtools. The project has 54 stars and 2 forks, indicating an active community.
BlazeTorch-AI-Devtools is released under the AGPL-3.0 license, making it free to use and modify according to the license terms.
The top alternatives to BlazeTorch-AI-Devtools on Agent Skills Hub include browser-debugger-cli, vibe-annotations, captain-claw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.