AI · alternatives · 2026
24 alternatives to CyberGym/BountyBench-AI agents find zero-days and solve bug bounties
A turning point on AI agents in Cybersecurity, shown in two recent research papers from UC Berkeley and Stanford: CyberGym: AI agents discovered 15 zero-days in major open-source software BountyBench: AI agents solved real-world bug bounty tasks worth tens of thousands of dollars This represents a pivotal shift in cybersecurity — AI agents can now autonomously do what only elite human hackers could before. Check out their work: CyberGym: https://www.cybergym.io/ BountyBench: https://bountybench.github.io/
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
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zero.xyz▲335Give your AI agent access to ~8k tools, APIs and services
May 2026 · zero.xyz · its alternatives →
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BetterClaw▲307Deploy AI Agent, 60 seconds & $0 forever
Aug 2026 · betterclaw.io · its alternatives →
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GraphBit▲437We built GraphBit to solve the reliability gap in AI frameworks. It’s built on a Rust execution core with a Python layer for accessibility — deterministic orchestration, lock-free concurrency, and built-in observability. We’d love feedback from the HN community, especially from those running multi-LLM or agentic workflows at scale.
2025 · graphbit.ai · its alternatives →
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Agent Arena▲348Creator here. I built Agent Arena to answer a question that kept bugging me: when AI agents browse the web autonomously, how easily can they be manipulated by hidden instructions? How it works: 1. Send your AI agent to ref.jock.pl/modern-web (looks like a harmless web dev cheat sheet) 2. Ask it to summarize the page 3. Paste its response into the scorecard at wiz.jock.pl/experiments/agent-arena/ The page is loaded with 10 hidden prompt injection attacks -- HTML comments, white-on-white text, zero-width Unicode, data attributes, etc. Most agents fall for at least a few.…
Jun 2026 · arena42.ai · its alternatives →
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I built this because I wanted my own directory of public companies running bug bounty programs — where I could see their infrastructure in one place and have a real idea of where to start poking holes. Neobotnet collects intel data from companies on HackerOne and Bugcrowd — subdomains, DNS records, web servers with status codes, indexed/crawled URLs, JS files, and exposed secrets/paths (still building this last part). The data is already there when you need it. No scans to run. Currently tracking 41 companies, 63,878 web servers, and 1.8M+ URLs. Long term I want to expand this to…
Mar 2026 · neobotnet.com · its alternatives →
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hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
May 2026 · github.com · its alternatives →
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Cosmic AI Agents▲145Hey HN, We're Cosmic (YC W19), a headless CMS. Today we're launching Team Agents and the Cosmic Agent. Team Agents are AI-powered team members that live in Slack, WhatsApp, and Telegram. They have names, roles, persistent memory, and real capabilities. Not chatbots. Not one-off prompts. Persistent agents that work alongside your team. Here's what they can do: CONTENT AGENTS write blog posts, landing pages, and marketing copy. They generate images, add SEO metadata, and publish directly to the CMS. Message them in Slack, get a finished post back. CODE AGENTS read your codebase, create…
Dec 2025 · cosmicjs.com · its alternatives →
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Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…
Mar 2026 · enlidea.com · its alternatives →
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13,000+ MCP servers, skills & plugins for AI coding agents
Jul 2026 · codexmarketplaces.com · its alternatives →
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Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com · its alternatives →
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SwarmPane▲3122 updates in 17 days: usage limits per account & more
2d ago · swarmpane.com · its alternatives →
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Avery▲16Create a deterministic agent that runs on your hardware
Jul 2026 · avery.software · its alternatives →
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I'm a solo dev in Taiwan. I built 4 AI agents that handle content, sales leads, security scanning, and ops for my tech agency — all on Gemini 2.5 Flash free tier (1,500 req/day). I use ~105. Monthly LLM cost: $0. Architecture: 4 agents on OpenClaw (open source), running on WSL2 at home with 25 systemd timers. What they do every day: - Generate 8 social posts across platforms (quality-gated: generate → self-review → rewrite if score < 7/10) - Engage with community posts and auto-reply to comments (context-aware, max 2 rounds) - Research via RSS + HN API + Jina Reader → feed…
Mar 2026 · its alternatives →
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An open experiment, run weekly in public: a real AI agent attempts ten everyday web errands and every transcript is published verbatim. This week it finished 8 of 10 and hit 10 bot walls. Plus 113 sites scored for AI-agent readiness.
21d ago · agentability.org · its alternatives →
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Given a real repository, an agent must discover & repair as many bugs as they can. Agents are not given any hint about the type of bug or its location.
26d ago · swesweep.com · its alternatives →
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Bugbop▲3Hi HN! I created Bugbop over the last year now I'm officially releasing it! It’s a platform for teams that want to run their first bug bounty without expensive contracts. I come from a SaaS technical founder background where I ran our program for years. Now I've decided to make something better suited to that niche. The model is simple: only pay when valid vulnerabilities are found. No ongoing subscriptions. Set budgets to avoid going over. The app's still in the early days but it's working: security bugs are getting paid and bug hunters are getting bounties. It's using AI to review check if…
Jan 2026 · bugbop.com · its alternatives →
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ZeroClaw▲14Rust autonomous agent runtime. ~5MB core, runs on anything.
Apr 2026 · zeroclaw.com · its alternatives →
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AgentWatch▲12Hi HN, I’m a solo developer and built AgentWatch to solve a problem I kept running into while building AI agents: preventing runaway loops and unexpected LLM spend before requests reach the model. AgentWatch sits in front of OpenAI, Anthropic, Gemini, Bedrock, Azure OpenAI, Groq, and others to enforce budgets and runtime policies. I’d really appreciate your feedback. If you’re building AI agents, does this solve a problem you’ve experienced? I’d also love to hear what you’d improve or challenge.
Jun 2026 · agent-watch.dev · its alternatives →
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Agentinel▲18Stop AI agents from installing malicious packages.
Jul 2026 · agentinel.habitwala.in · its alternatives →
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At Metabase, we built an AI agent called Repro-Bot that reads our GitHub issues and attempts to reproduce reported bugs automatically. It started as a hackathon project and is now part of our daily workflow, so we wrote about it and open-sourced the code as an example for others. How have similar tools been working for you? What has worked well and what has not?
Apr 2026 · metabase.com · its alternatives →
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hello everyone, my first post! AA here, founder of ⌘ Langbase.com — we are a developer platform for building and scaling serverless AI memory agents. I know surveys can be boring, but this one’s different—it’s interactive! That's very much intentional. My team and I have been up for the last 21 hours putting together this report. This was a looot of work, so I hope y'all like it. Introducing … State of AI Agents 2024 report On Langbase, we processed 184 billion tokens and handled 786 million AI agent runs from 36K developers. From all that data plus insights from 3.4K builders who filled out…
2024 · langbase.com · its alternatives →
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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →