Alternatives
Products that do what Greyline by The Meridian Lab does
Hunt, interrogate, and kill unwelcome Agents on your website
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The stack: two agents on separate boxes. The public one (nullclaw) is a 678 KB Zig binary using ~1 MB RAM, connected to an Ergo IRC server. Visitors talk to it via a gamja web client embedded in my site. The private one (ironclaw) handles email and scheduling, reachable only over Tailscale via Google's A2A protocol. Tiered inference: Haiku 4.5 for conversation (sub-second, cheap), Sonnet 4.6 for tool use (only when needed). Hard cap at $2/day. A2A passthrough: the private-side agent borrows the gateway's own inference pipeline, so there's one API key and one billing relationship…
Mar 2026 · georgelarson.me
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At Deno we've been using OpenClaw and other agents increasingly for addressing production problems in Deno Deploy - when a PagerDuty alert fires, the agent starts researching the cause and making fixes. In order to do this, the agent needs access to real production systems - postgres, kubernetes, gcp, clickhouse, github, etc. But this is dangerous to say the least - we want destructive actions to be reviewed by other LLMs, approved by humans, and logged appropriately. Claw Patrol terminates TCP connections over WireGuard or Tailscale, then parses application protocols (eg http, postgres,…
Jun 2026 · github.com
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2025 · github.com
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Hey HN! This is Adil, Salman and Jose and and we’re behind archgw [1]. An intelligent proxy server designed as an edge and AI gateway for agents - one that natively know how to handle prompts, not just network traffic. We’ve made several sweeping changes so sharing the project again. A bit of background on why we’ve built this project. Building AI agent demos is easy, but to create something production-ready there is a lot of repeat low-level plumbing work that everyone is doing. You’re applying guardrails to make sure unsafe or off-topic requests don’t get through. You’re clarifying vague…
2025 · github.com
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2024 · github.com
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The only way to go fast is full YOLO mode in your coding agent. I've got the local sandbox figured out (pro tip: Incus VMs work great) but I wanted to keep my agents from doing things like inadvertently blowing up my cloud services or chasing a prompt to POST to some random website. I struggle most with this on my side projects where my permission model isn't quite as robust as it is at the office. I started with a firewall on the Incus container but every time the agent needed access to something new, I was poking more holes in it - and it didn't differentiate between HTTP verbs. I've been…
Jul 2026 · trollbridge.dev
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This is a small PoC Python project for web server access logs analyzing to classify and dynamically block bad bots, such as L7 (application-level) DDoS bots, web scrappers and so on. We'll be happy to gather initial feedback on usability and features, especialy from people having good or bad experience wit bots. *Requirements* The analyzer relies on 3 Tempesta FW specific features which you still can get with other HTTP servers or accelerators: 1. JA5 client fingerprinting (https://tempesta-tech.com/knowledge-base/Traffic-Filtering-b...). This is a HTTP and TLS layers…
Oct 2025 · github.com
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I built DarkForest Protocol after watching sites get hammered by AI search bots. Robots.txt isn't working. Some sites are using Nepenthes/Quixotic to poison models, but that's a lose-lose approach. DarkForest is an open-source middleware (Express/Next.js/Vite) that lets any site establish clear boundaries with AI systems. One line of code redirects crawlers to a message about respecting content - no poisoning required. This is just the start. The long-term vision is to build: (1) A collective intelligence network where sites share crawler patterns, and (2) An internet scale…
2025 · darkestforest.xyz
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I've launched the new product, xhr.dev (https://xhr.dev/) The initial product is a 1 line code integration that does bot detection avoidance via a forward proxy. Ideal customer is someone who gets blocked by anti-bot defences like cloudflare or other captcha challenges. Usually these customers have web scraping use cases. You can view our historical performance on our status page (https://status.xhr.dev). ty v much, john
2024 · xhr.dev
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Hi HN, I am shubham a 3d artist who learned coding in college as an I.T. graduate know logics but not an expert as i just wanna try my hands on to ai So i built Resilient Workflow Sentinel this is offline ai agent which classify urgency (Low,Medium and HIgh) and dispatches to the candidates based on availability Well i want an offline system like a person can trust with its sensitive data to stay completely locally Did use ai to code for speeding and cutting labor. Its works on RTX 3080 system (this is an basic affordable setup not heavy ai machinery) which i want it to make it reliable…
Feb 2026 · github.com
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Hi HN! This is Adil, Salman, Co and Shuguang and we're excited to introduce archgw [1], an open source intelligent proxy for agents built on Envoy [2]. Arch moves the critical but crufty work around safety, observability, and routing of prompts outside business logic. Arch is a uniquely intelligent infrastructure primitive, engineered with purpose-built fast LLMs [3] for tasks like intent detection over multi-turn, parameter identification and extraction, triggering single/multiple function calls, and offers convenience features to auto dispatch LLM calls for summarization based on data…
2024 · github.com
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