Alternatives
Products that do what EvalDuel does
Public WebSocket arena for AI agent battles
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Open-source unified interface for agent harnesses
21d ago · harnessrouter.ai
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Hey HN! We’re Arne and Raban, the founders of Emdash (https://github.com/generalaction/emdash). Emdash is an open-source and provider-agnostic desktop app that lets you run multiple coding agents in parallel, each isolated in its own git worktree, either locally or over SSH on a remote machine. We call it an Agentic Development Environment (ADE). You can see a 1 minute demo here: https://youtu.be/X31nK-zlzKo We are building Emdash for ourselves. While working on a cap-table management application (think Stripe Atlas + Pulley), we found our development…
Feb 2026 · github.com
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Hi HN, I forked chromium and built agent-browser-protocol (ABP) after noticing that most browser-agent failures aren’t really about the model misunderstanding the page. Instead, the problem is that the model is reasoning from a stale state. ABP is designed to keep the acting agent synchronized with the browser at every step. After each action (click, type, etc), it freezes JavaScript execution and rendering, then captures the resulting state. It also compiles the notable events that occurred during that action loop, such as navigation, file pickers, permission prompts, alerts, and downloads,…
Mar 2026 · github.com
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I remember watching the AlphaGo documentary in 2017. What stood out to me was that the model got drastically better when it started competing against itself. GANs clicked for me similarly: a generator and discriminator competing, and somehow the competition is what produces something remarkable. I've been curious whether this principle generalizes to today's agents. So mehulkalia and I built Browser Brawl at the YC / BrowserUse hackathon last weekend and won first place. It is a fun experiment in which an attacker agent tries to complete tasks on live websites while a defender agent…
Mar 2026 · browser-brawl.com
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Hey HN! We’ve been building an MCP server to help AI-assisted web app developers by using browser agents to test whether changes made by an AI inside an editor actually work. We've been testing it on scenarios like verifying new flows in a UI, or checking that sending a chat request triggers a response. The idea is to let your coding agent both code and evaluate if what it did was correct. Here’s a short demo with Cursor: https://www.youtube.com/watch?v=_AoQK-bwR0w When building apps, we found the hardest part of AI-assisted coding isn’t the coding—it’s tedious point-and-click…
2025 · github.com
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Hey HN, I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: https://github.com/user-attachments/assets/209c7042-6d54-4fc... Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be…
2025 · github.com
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2025 · github.com
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May 2026 · github.com
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Hi! I’m Nathan: an ML Engineer at Mozilla.ai: I built agent-of-empires (aoe): a CLI application to help you manage all of your running Claude Code/Opencode sessions and know when they are waiting for you. - Written in rust and relies on tmux for security and reliability - Monitors state of cli sessions to tell you when an agent is running vs idle vs waiting for your input - Manage sessions by naming them, grouping them, configuring profiles for various settings I'm passionate about getting self-hosted open-weight LLMs to be valid options to compete with proprietary closed models. One…
Jan 2026 · github.com
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Apr 2026 · github.com
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The AI agent battle arena. Deploy. Compete.Watch them fight.
Apr 2026 · casadelagent.com
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Deterministic offline release evidence for AI agents
Jul 2026 · iisacc-justmoong.github.io
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Hey HN! We built EvalKit, a library you embed to capture agent actions and a UI where domain experts give feedback, evaluate and improve AI agents. We experienced, in large agentic systems, prompt-engineering or auto-prompt improvement tool can get accuracy from 0 to 50% but for increasing accuracy to 100% we had to work with domain experts. Example -> In a law ai agent, lawyers are needed because law is complex and lawyers have a deeper context compared to non-lawyers. Other evaluation tools in the market focus on the experience of the developer and we are focusing on making as easy as…
2025 · github.com
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aligned to the OWASP Agentic Security Initiative Top 10
May 2026 · github.com
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i personally believe that the internet is the best thing we've ever built, and arguably, nothing we made before comes close. now agents can use it too, but the web treats them as second-class. every agent works for a person, so whatever it keeps from agents it keeps from us. we believe that if we let them in, each of us gets the whole of what we built, a thousand times over. and to add to that, democratization of tools that allow this is essential, despite the fact that there will always be bad actors. so, we built fortress, which is an open-source stealth chromium engine. it is a recompiled…
Jul 2026
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