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Dev tools · alternatives · 2026

24 alternatives to Clyro

Control AI agents safely at runtime

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 3 we have checked on their own sites, 3 of them free or with a free tier.

  1. 1

    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 →

  2. 2
    InstaVM▲109

    Teaching AI agents to find security vulnerabilities by distilling 4,000 paid HackerOne bug bounty reports — from PDF cracking to API hacking with CLI tools.

    May 2026 · instavm.io · its alternatives →

  3. 3

    Open-source runtime for durable AI agents

    May 2026 · orkes.io · its alternatives →

  4. 4
    AgentOS▲100

    Manage AI agents, tasks, workspaces from one control layer

    Jun 2026 · sapienx.app · its alternatives →

  5. 5
    Phrony▲82

    Ship AI agents without the operational burden

    May 2026 · its alternatives →

  6. 6

    Skip the setup and run OpenClaw & Hermes, fully managed

    Aug 2026 · cloudways.com · its alternatives →

  7. 7
    Foil▲83

    An AI agent that monitors your AI agents

    Mar 2026 · getfoil.ai · its alternatives →

  8. 8

    Production-tested architecture for autonomous Claude agents

    Apr 2026 · dvdshn.com · its alternatives →

  9. 9
    Phrony▲16

    Phrony is the open-source runtime for governing AI agents in production. Define each agent in one file, set the rules it can never break, require a human for risky actions, and keep a full record of everything it does.

    Jun 2026 · phrony.com · its alternatives →

  10. 10
    Runwallfree tier▲9

    A Runtime security layer that lets AI agents execute safely

    Jul 2026 · runwall.vercel.app · its alternatives →

  11. 11

    Hi 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 →

  12. 12

    TL;DR: we built a framework-agnostic agent runtime that uses gVisor for isolation and runs on k8s. It’s open-source under AGPLv3 Recently we’ve been working on a customer support “AI assistant” - essentially an interactive knowledge base/L1 support but with an option to touch resources that belong to a customer it’s talking to. We found existing tools to be lacking in these aspects: 1. Fully intercepted i/o. We wanted to trace out LLM calls as well as any other networking calls attempted by the harness so that guardrails and audit trails apply to all current and future systems…

    Jul 2026 · github.com · its alternatives →

  13. 13
    Carto▲3

    The problem : AI agents fail systematically above 10k LOC. The failure mode are same wrong file, partial completion, tool thrashing, context overflow. Carto fixes this by giving AI agents what they are missing - Domain Map (automatic, no config), blast radius before any change, cross domain violation detection, Agents md for instant codebase context, 16+ mcp tools etc. AI knowing what could break before it start editing code. Feels like most tools are focus on generating code faster. Maybe the next step is helping AI understand systems better. MIT licensed , Runs entirely local , No data…

    May 2026 · github.com · its alternatives →

  14. 14

    Runtime Security And Governance For AI Agents

    Jun 2026 · delphisecurity.ai · its alternatives →

  15. 15

    Ops layer for AI agent fleets: traces, memory, hard budgets

    Jul 2026 · cartha.in · its alternatives →

  16. 16

    Hi, founder of Okteto here! We’ve been experimenting with AI agents in our workflows at Okteto. Running them locally worked at first, but quickly became painful. git worktrees, multiple terminals, and messy context switches slowed us down. So we built Agent Fleets: ephemeral, fully managed environments for AI agents, built on top of Okteto’s development platform. Each agent runs in its own containerized environment on your infrastructure, with the services, tools, and policies it needs. You can spin up agents with a single click or API call. No local setup. No git worktrees. The beta…

    2025 · okteto.com · its alternatives →

  17. 17

    Your agents spend autonomously. You set the budget, the vendors, and the limits.

    May 2026 · arden.sh · its alternatives →

  18. 18
    Clam▲11

    A secure OpenClaw AI sidekick with a fully customizable UI

    Mar 2026 · its alternatives →

  19. 19

    We built meta-agent: an open-source library that automatically and continuously improves agent harnesses from production traces. Point it at an existing agent, a stream of unlabeled production traces, and a small labeled holdout set. An LLM judge scores unlabeled production traces as they stream. A proposer reads failed traces and writes one targeted harness update at a time, such as changes to prompts, hooks, tools, or subagents. The update is kept only if it improves holdout accuracy. On tau-bench v3 airline, meta-agent improved holdout accuracy from 67% to 87%. We open-sourced meta-agent.…

    Apr 2026 · github.com · its alternatives →

  20. 20
    SafeClawfree tier, from $20/mo▲7

    Security-first hosting for AI agents

    Feb 2026 · safeclaw.tech · its alternatives →

  21. 21

    Enterprise governance and compliance for AI agents

    May 2026 · getagentpmo.com · its alternatives →

  22. 22

    Your agents. Your servers. Your keys. Your model.

    May 2026 · platos.dev · its alternatives →

  23. 23

    Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…

    Mar 2026 · github.com · its alternatives →

  24. 24

    AI runtime layer for routing, guardrails, and observability

    Mar 2026 · clarixo.fun · 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 →