Akmon, a Rust AI coding agent for regulated engineering
Tamper-evident event journals with cryptographic chains solve AI audit requirements.

Another general-purpose AI agent competing with Cursor and Claude Code.
Developers and knowledge workers
Cursor · Claude Code · Devin
Raccoon AI is like having something between Claude Code and Cursor in the web.
The agent has its own computer with a terminal, browser, and internet, and it is built with the right balance of collaboration and autonomy.
You can talk to it mid-task, send it more files while it's still running, or just let it go and come back to a finished result.
It's the kind of product where you open it to try one thing and end up spending two hours because you keep thinking of more things to throw at it.
The thing that most people get excited about is that sessions chain across completely unrelated task types. You can go from market research (real citations, generated charts) to raw data analysis (dump your db, ask questions) to a full interactive app, all in one conversation sharing the same context.
It has unlimited context through auto summarization, which is really good with Ace Max.
It connects to Gmail, GitHub, Google Drive, Notion, Outlook, and 40+ other tools. You can add your own via custom MCP servers.
Raccoon AI is built on top of our own agents SDK, ACE, which hit SOTA on GAIA benchmark with a score of 92.67.
A bit of background: We're a team of 3, and we started about 1.5 years ago to build the best possible browser agent to ever exist, after a couple of pivots we arrived at this and have been constantly shipping and growing since October.
Happy to go deep on the architecture or talk about the limitations and excited about the feedback.
Site: https://raccoonai.tech
Tamper-evident event journals with cryptographic chains solve AI audit requirements.
Blockchain-attested pentesting with VR command center feels like buzzword salad.
Live math CAS with shareable links and MCP hooks for Claude and ChatGPT.
Markdown Q&A persistence for Claude, but Continue and Cursor already handle context better.
Reactive notebook as agent working memory—cells persist state between actions.
Kanban-driven multi-agent fleet orchestration beats single-chat-per-agent tools.