Alternatives
Products that do what Nonym does
Privacy Gateway for Teams Building AI Powered Products
- 1
- 2
- 3
- 4
- 5NA
Jul 2026 · github.com
- 6
- 7
- 8OO
hey HN, Jonathan and Guy here, creators of OneCLI (https://onecli.sh/). OneCLI is an open source vault for AI Agents. Traditional vaults are used to store your secrets and, on demand, provide them to you all in a secure way, trusting the person to keep them safe. We figured that in the agent's world, this is not the case, as you don't know what happens with the secret after it's delivered to the agent, or where it was saved. Or maybe someone even manipulated them to hand them over... From that understanding, we decided to build a network gateway that sits between your AI…
Jul 2026 · github.com
- 9
- 10
- 11AW
Hey HN, I'm excited to share BrowserBee, a privacy-first AI assistant in your browser that allows you to run and automate tasks using your LLM of choice (currently supports Anthropic, OpenAI, Gemini, and Ollama). Short demo here: https://github.com/user-attachments/assets/209c7042-6d54-4fc... Inspired by projects like Browser Use and Playwright MCP, its main advantage is the browser extension form factor which makes it more convenient for day to day use, especially for less technical users. Its also a bit less cumbersome to use on websites that require you to be…
2025 · github.com
- 12OV
We built OneCLI because AI agents are being given raw API keys. And it's going about as well as you'd expect. We figured the answer isn't "don't give agents access," it's "give them access without giving them secrets." OneCLI is an open-source gateway that sits between your AI agents and the services they call. You store your real credentials once in OneCLI's encrypted vault, and give your agents placeholder keys. When an agent makes an HTTP call through the proxy, OneCLI matches the request by host/path, verifies the agent should have access, swaps the placeholder for the real…
Mar 2026 · github.com
- 13
- 14
- 15
- 16
- 17
- 18
- 19
- 20
- 21PT
Hi HN, We’re @sumants and @rmehtany, working on Pontus. Pontus makes it easy to use AI with privacy embedded. We were concerned about the volume of personal data that goes to large LLM models without protection. We tried find an easy solution where didn’t change the simple apis given by LLM providers. However, most required you to invest significant engineering effort. We wanted privacy and LLMs to be easy, so we built Pontus. Through a declarative YAML, we orchestrate a microservice with the most common element of the LLM stack. - Anonymize Prompts before it hits LLMs, yet keeps context on…
2023 · github.com
- 22
Local AI agent guardrails, budgets, & circuit breakers.
Jun 2026 · stackmint.ai
- 23NC
There's been some interesting work lately with BrowserAI (runs LLMs in the browser using WebGPU) enabling local, private AI processing. Now, the team has released BrowserAgent - a no-code tool built on top of it. BrowserAgent lets you create custom AI workflows using a drag-and-drop interface, all within your browser. This means personalized web summarizers, research assistants, or content generators can all run locally with no cloud costs and full data privacy. Check it out here - https://browseragent.dev Key features include: - No-Code Workflow Builder: Design custom AI agents…
2025 · browseragent.dev
- 24PA
TL;DR: We are building a new Agentic Access Gateway in Pomerium to safely let AI agents (like GPT-based deep researchers, scripts or assistants) access internal apps and resources on your behalf – with fine-grained, just-in-time authorization for every action. It's open source (GitHub link below) and we're looking for feedback and early access users. What is Pomerium? For those unfamiliar, Pomerium is an open-source identity-aware proxy (a "zero trust" access gateway). It sits in front of your internal apps and APIs, continually verifying identity and context on every request. The problem:…
2025
Ranked by how close each launch is in meaning, then by votes. Refine with a description →