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AI · alternatives · 2026

24 alternatives to I'm 15. I mass published 134K lines to hold AI agents accountable

Software makes commitments all of the time. "I won't transfer more than $500," "I'll only access these three APIs," "I won't modify production data." But there is truly no way to verify it actually kept those commitments after the fact. All you do is just trust the logs and which the software itself wrote. I built Nobulex to fix this. It is open-source middleware that does three things: 1. Lets you define behavioral rules in a simple DSL (permit, forbid, require) 2. Intercepts all actions at runtime and blocks anything that will violate the rules 3. Logs everything in a hash-chained audit…

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Prices are shown for the 1 we have checked on their own sites, 1 of them free or with a free tier.

  1. 1
    Agent 37▲401

    Hey HN, I noticed there are 1,000+ MCP skills on GitHub with zero way for creators to charge for them. So I built Agent37. Selling Claude skills today means asking customers to download your skill, set up Claude Code on their laptops, configure MCP servers, and pray it works. No trial, no updates, often you're just handing over the source. Agent37 lets creators upload a skill, share a link, and anyone can try it instantly (no Claude account needed). Built-in Stripe, creators keep 80%. Looking for feedback on the approach. Would you use something like this?

    Mar 2026 · agent37.com · its alternatives →

  2. 2
    Replicas▲239

    Hey HN! I'm Connor, creator of Replicas. I'm a heavy Codex/Claude Code user, and I wanted to hand off tasks to agents like I would to an engineer - kick something off before work, let it scaffold while I'm at lunch, even come back to a ready PR. The problem: existing alternatives use workspace VMs that are black boxes. I have no access to any of them - they can't run tests, read logs, or use tools like the Playwright MCP (which I use to verify agents actually fixed what they claim to fix). Replicas gives agents real cloud workspaces where they can: - Run your test suite and read the…

    Jun 2026 · replicas.dev · its alternatives →

  3. 3
    Orite▲76

    Give your AI Agent money. Not a blank check.

    Aug 2026 · orite.tech · its alternatives →

  4. 4

    Hi HN! We’re the team behind Fiddler, and we recently built an Agent Cache feature. It works by capturing an LLM request/response pair and, once caching is enabled, serving subsequent matching calls locally so duplicate requests never hit the provider. It’s meant to reduce three pains that show up together in agent development: token cost, feedback-loop latency, and output non-determinism. We’d love to hear your thoughts.

    Aug 2026 · telerik.com · its alternatives →

  5. 5

    Hi guys, am building SecureLend.ai and when working on our underwriting agents (free trial, paid after) I had issues with seamless payment options. Of course I looked at x402 which I believe is a great protocol but not a fan of a) sharing private keys with the agent b) having a human in the loop or c) similar workaround e.g. pre-funded wallets So I started building out a solution. For my use case it was important to not only have stablecoins but also a fiat rail which is now implemented using Stripe. Initially I build a mandate system internally but am very glad and big shoutout to the guys…

    Apr 2026 · delegare.dev · its alternatives →

  6. 6

    Hi HN, we're Kiran and Vijay! Over the past two years, we have built a columnar storage engine for observability: logs, metrics, and traces. Today, it's exciting for us to show what we've built on top of that foundation: LLM Agent Observability. Given how non-deterministic agents are, storing all traces without sampling was critical for us. But these traces tend to be in the MBs, sometimes GBs - we needed to store them inexpensively. We also needed the queries and analyses to be fast. To meet both these goals, we store them in S3 in our own parquet-like file format, and query them using AWS…

    Jul 2026 · oodle.ai · its alternatives →

  7. 7
    Recall▲16

    One developer solves it. Every developer knows it.

    Feb 2026 · recall.team · its alternatives →

  8. 8

    Hi HN, I’m the creator of Cordum. I’ve been working in DevOps and infrastructure for years (currently in the fintech/security space), and as I started playing with AI agents, I noticed a scary pattern. Most "safety" mechanisms rely on system prompts ("Please don't do X") or flimsy Python logic inside the agent itself. If we treat agents as autonomous employees, giving them root access and hoping they listen to instructions felt insane to me. I wanted a way to enforce hard constraints that the LLM cannot override, no matter how "jailbroken" it gets. So I built Cordum. It’s an open-source…

    Jan 2026 · github.com · its alternatives →

  9. 9

    Deterministic offline release evidence for AI agents

    Jul 2026 · iisacc-justmoong.github.io · its alternatives →

  10. 10IM

    Hey HN, I’m Chris, a solo dev in Melbourne AU. For the past month I've been spending my after work hours building AgentVisa. I'm both excited (and admittedly nervous) to be sharing it with you all today. I've been spending a lot of time thinking about the future of AI agents and the more I experimented, the more I realized I was building on a fragile foundation. How do we build trust into these systems? How do we know what our agents are doing, and who gave them permission? My long-term vision is to give developers an "Agent Atlas" - a clear map of their agentic workforce, showing where…

    2025 · agentvisa.dev · its alternatives →

  11. 11

    AI-Powered Compliance & Risk Engine for Modern Teams

    2025 · nexabloom.xyz · its alternatives →

  12. 12

    Hey HN. I built an AI agent harness over the past few months and I'm open sourcing it today. Some context on why. I've been building with Claude Code daily using this harness. It orchestrates multiple AI agents as a team, with a dashboard, chat, kanban board, the works. I used it to build a full SaaS product (MyUpMonitor, https://myupmonitor.com) in about 24 hours of focused coding. Then yesterday Anthropic announced Mythos and decided to keep it behind closed doors. Meanwhile I'm paying for Claude and I can't access their best model. I don't think that is nice at all... So I'm…

    Apr 2026 · github.com · its alternatives →

  13. 13

    Hi HN. I'm the founder of Phoenix Labs (ex TikTok, Applied AI) and we're open sourcing our internal tooling today which is like a toolchain / meta-harness for CLI agents useful for really scaling eng and creative work. We are a very small team who's building a very ambitious product so we had to find ways to squeeze every ounce of efficiency that we could get our hands on. Harness strengths of different models (Claude, GPTs) and CLI-harnesses (Claude Code, Codex), safe/robust browser integration to speed up UX/QA testing, teams cli to speed up security reviews and parallelize…

    May 2026 · agents-cli.sh · its alternatives →

  14. 14

    Hi all! This is a very early project and with the launch of Claude Managed Agents, alternatives are on the rise. MANTYX Provides a more user friendly way to define, run and manage your Agents at scale. Connect and interconnect your favourite tools, expose your agents to other and centralize your MCP registry to interconnect your different tools. Welcoming feedback!

    Mar 2026 · mantyx.io · its alternatives →

  15. 15IS

    Hey HN! For that last 8 months I've been trying to make agents that can hack web applications to find vulnerabilities in them - An AI Security Tester. The system has 29 agents in total, a custom LLM Orchestration framework which works on the task-subtask architecture (old-school but works amazingly for my use case, and is pretty reliable) with custom agent calling mechanism. No Auo-Gen, Langchain and Crew AI - Everything custom built for pentesting. Each test runs in an isolated Kali linux environment (on AWS Fargate), where the agents have full access to the environment to undertake any…

    2025 · its alternatives →

  16. 16

    I love Claude Code but got tired of having nothing to do while I waited for sessions to finish, and managing multiple sessions on the command line was getting annoying and I kept losing track of the tabs. I originally built a quick and dirty version of this for my own use, but decided to polish it up and make it open source. The idea is that you should be able to do all your agentic coding without leaving the tool or needing to go back to a traditional IDE. You can view the diffs, run your program, and merge your changes back. I support OSX and Linux right now, but could add Windows support…

    2025 · github.com · its alternatives →

  17. 17

    Contribute to getcalx/oss development by creating an account on GitHub.

    Mar 2026 · github.com · its alternatives →

  18. 18

    As a Security Engineer with over 10+ years in industry, I kept running into the same problem with coding agents: Instructions are not guarantees. I put guidance in `CLAUDE.md`, `AGENTS.md`, memory files, MCP descriptions, and tool documentation. I explicitly told the agent things like: - Use the code graph for architecture questions instead of grepping the repository. - Do not use deprecated APIs or Unsafe code. - Prefer specific tools for specific tasks. The agent would still ignore those instructions surprisingly often. It would grep the entire repo, use deprecated APIs, or choose a slower…

    Apr 2026 · sigmashake.com · its alternatives →

  19. 19LO

    Hi HN, Martin, Nils, and Jannes here. We are building Legit, an open source version control and collaboration layer for AI agents and AI native applications. You can find the repo here https://github.com/Legit-Control/monorepo and the website here https://legitcontrol.com Over the last years, we worked on multiple developer tools and AI driven products. As soon as we started letting agents modify real files and business critical data, one problem kept showing up. We could not reliably answer what changed, why it changed, or how to safely undo it. Today, most AI…

    Jan 2026 · its alternatives →

  20. 20

    Hi HN, I built AgenTank. It is a small game where an AI agent writes the logic for your tank. You watch it fight, give strategic feedback, let the agent update the tank code, and send it back into battle. I have run 1,000+ battles on my own tank and spent about $200 in Claude credits improving it. The part I enjoy most is not just winning, but watching the tank make visible mistakes, thinking of a better strategy, and seeing whether Claude can turn that into better code.

    May 2026 · agentank.ai · its alternatives →

  21. 21
    Mingle▲3

    I built an autonomous AI agent running 24/7 on a Mac Mini (16 tools, persistent memory, proactive scheduler). Kept hitting token budget walls on ambitious tasks — agent starts something good, runs out of tokens, stops. So I wrote a protocol for agents to collaborate: discover each other, propose projects, vote on resource allocation (one agent = one vote, cryptographically bound to one owner), pool tokens, execute together. Key decisions: reputation-weighted not wealth-weighted governance, privacy-first (share knowledge never owner data), protocol evolves through agent voting.

    Mar 2026 · aeoess.com · its alternatives →

  22. 22

    I built my own AI coding agent for you.

    Oct 2025 · snailer.ai · its alternatives →

  23. 23

    1. i use to work at ai agent testing ocmany i saw Agent is actually filming every day so I think to myself, why don't we just build Godrail approval so it is not filming in production? We would have a set of policies. For example if anything violates that, it would be stopped. It could be like a spending cap and all, like a destructive comment. 2. The use case is very flexible so the manager could have access here and then be granted some permission on a different tool code that I had on their server. For SAK dashboard we have a live demo. Everything is really easy to integrate, just a few…

    Jul 2026 · gettrustloop.app · its alternatives →

  24. 24IB

    I got tired of slogging through walls of legal text whenever I had to sign something important, so I built a Chrome extension that uses AI to: - Spot red flags and suspicious clauses – It automatically highlights risk areas in real-time as you read through an online contract. - Score the contract’s safety – Based on industry-standard risk parameters, it gives you an at-a-glance score so you can see how risky the document might be. - Simplify the jargon – It generates a quick summary of the key points, saving you from reading every paragraph in detail. No more signing on hunches or bets!…

    2025 · aayen.org · 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 →