AI · alternatives · 2026
24 alternatives to Pontus the Zero Trust AI Layer
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…
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. Pontus the Zero Trust AI Layer launched in 2023; newer entries below may have overtaken it.
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Many teams connecting LLMs to external tools eventually encounter the same architectural issue: as more tools and agents are added, the integration pattern becomes an N×M mesh of direct connections. Each agent implements its own auth, retries, rate limiting, and logging; each tool needs credentials distributed to multiple places and observability becomes fragmented. We built LLM gateway with this goal to provide a single place to manage authentication, authorization, routing, and observability for MCP servers, with a path toward a more general agent-gateway architecture in the future. The…
Dec 2025 · truefoundry.com · its alternatives →
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Tiny LLMs▲94Powerful browser-based AI models for a wide array of tasks
2023 · tinyllms.vercel.app · its alternatives →
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Lapis▲79Secure, offline AI chat assistant on your device
Nov 2025 · lapis.lvrpiz.com · its alternatives →
- 5TL
2023 · tinyllms.vercel.app · its alternatives →
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Tinfoil▲99AI chat and API that keeps your conversations fully private
Apr 2026 · chat.tinfoil.sh · its alternatives →
- 7RL
Hello Hacker News! We're Yangqing, Xiang and JJ from lepton.ai. We are building a platform to run any AI models as easy as writing local code, and to get your favorite models in minutes. It's like container for AI, but without the hassle of actually building a docker image. We built and contributed to some of the world's most popular AI software - PyTorch 1.0, ONNX, Caffe, etcd, Kubernetes, etc. We also managed hundreds of thousands of computers in our previous jobs. And we found that the AI software stack is usually unnecessarily complex - and we want to change that. Imagine if you are a…
2023 · lepton.ai · its alternatives →
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PrivacyPal▲110The Browser Extension for AI Governance & Security.
Jan 2026 · privacypal.ai · its alternatives →
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Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface
2025 · github.com · its alternatives →
- 11CW
2024 · llmchat.co · its alternatives →
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Enterprise AI with complete data sovereignty & control
Nov 2025 · multillm.app · its alternatives →
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GateLLM▲13The open-source gateway securing your AI workflows
2025 · gatellm.web.app · its alternatives →
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AI Hive ▲53Build, deploy, and run all your AI agents in one platform.
May 2026 · app.aihive.global · its alternatives →
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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 →
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A zero-trust security layer between your apps and LLMs
Jan 2026 · its alternatives →
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AI Safeguard▲14Prevent sensitive data leaks in popular LLM's like ChatGPT
2025 · aisafeguard.co.uk · its alternatives →
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Local In-Browser LLM inference for private, fast, and secure chat - no server required.
2025 · private-ai-chat.vercel.app · its alternatives →
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Automate Your Tasks with Unmatched Privacy
2024 · chromewebstore.google.com · its alternatives →
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Excited to share a project I’ve been building for months! Would love to receive honest feedback :) My motivation: AI is clearly going to be the interface for data. But earlier attempts (text-to-SQL, etc.) fell short — they treated it like magic. The space has matured: teams now realize that AI + data needs structure, context, and rules. So I built a product to help teams deliver “chat with data” solutions fast with full control and observability (agent tracing, quality scores, etc) — am I wrong? The product allows you to connect any LLM to any data source with centralized context…
2025 · github.com · its alternatives →
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Hey HN, I wanted to share something I’ve been working on: *RAG-Guard*, a document AI that’s all about privacy. It’s an experiment in combining Retrieval-Augmented Generation (RAG) with AI-powered question answering, but with a twist — your data stays yours. Here’s the idea: you can upload contracts, research papers, personal notes, or any other documents, and RAG-Guard processes everything locally in your browser. Nothing leaves your device unless you explicitly approve it. ### How It Works - * Zero-Trust by Design*: Every step happens in your browser until you say otherwise. - * Local…
2025 · github.com · its alternatives →
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New ways of breaking app-integrated LLMs . Contribute to greshake/llm-security development by creating an account on GitHub.
2023 · github.com · its alternatives →
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Hi HN, I'm Divy, former CTO at Branch and previously led engineering teams at Credit Karma and NexHealth. Over the past decade in fintech and healthtech, I've watched too many founders get blindsided by privacy compliance. The Problem: 80% of startups are unaware of privacy laws affecting their business. The choice between expensive attorneys ($5,000+) and risky generic templates is getting worse as regulations expand. Generic privacy policies fail because they make promises your business can't keep – I've seen this tank funding rounds and trigger regulatory investigations. My Personal Pain:…
2025 · privacyforge.ai · its alternatives →
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We built this because deploying more agents did not make our GTM better, it made it worse. Every agent started from scratch each session and took six tool calls for the same prospect across CRM, inbox, and notetaker, often with conflicting results. Since nothing carried over between sessions, agents never became more reliable over time. Nous is a context layer beneath your agents that turns each touchpoint into a structured observation linked to the right person and company. It derives claims, which are beliefs about a fact with their confidence and freshness. The graph runs on your own…
Jul 2026 · github.com · 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 →