Alternatives
Products that do what TrustyAgentsHub does
Simplifying AI Agent Discovery for Everyone
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Self-hosted AI agent that connects 1000+ apps on Vercel
May 2026 · github.com
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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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Hi HN, We’re Daniel and Mark, the creators of TrustGraph (https://github.com/trustgraph-ai/trustgraph). TrustGraph is an open source, full end-to-end AI infrastructure that automates knowledge graph building and querying along with modular agent integration. A unique aspect of TrustGraph is that the graph building is a one-time process that builds reusable knowledge cores that can be stored, shared, and reloaded. You can read more about TrustGraph knowledge cores here (https://trustgraph.ai/docs/cores/). Throughout our careers, we’ve been faced…
2024 · github.com
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Hi HN! I’m Bobbie Chen, Product Manager for Fraud and Security at Stytch. Today we are launching IsAgent: a lightweight JavaScript SDK that tries to detect agentic traffic on the frontend, enabling you to build agent-friendly experiences. You can try it out on our site at IsAgent.dev or install it via: npm install @stytch/is-agent (requires registration to use) Try viewing IsAgent.dev as a human. Then try using ChatGPT Agent to view the page: "Visit IsAgent.dev, wait a few seconds, and then take a screenshot." (or, toggle the switcher at the top) We built this because we’ve had a lot…
2025 · isagent.dev
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ask an agent to buy something, and it hits a wall. Why?
Mar 2026 · github.com
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I built a tool to solve a problem I kept running into: I was making product decisions based on guessing instead of real users. I kept building stuff nobody wanted as I was usually wrong. So, I built HolyShift: AI agents that validate product ideas by talking to real people on Reddit, HN, X, and LinkedIn … then generate a detailed GTM and “Should we build this?” report. No synthetic data (ChatGPT). No predictions. Only real conversations from real people. What it does • Posts platform-native questions (where allowed) • Collects real reactions, objections, pricing signals • Clusters feedback…
Nov 2025 · app.holyshift.ai
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