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Alternatives

Products that do what IBYOK does

Bring Your Own Keys

  1. 1

    Distributed password manager & only you can access

    2023

  2. 2E2

    Hey HN, I'm so happy to finally show you all this release after years of hard work. I posted the first version of EnvKey to HN back in 2017 (https://news.ycombinator.com/item?id=15330757), then went through YC in W18 (https://news.ycombinator.com/item?id=16569534). EnvKey is an end-to-end encrypted configuration and secrets manager. It protects your organization's API keys, encryption keys, credentials, and other secrets, and makes it easy to run servers, scripts, tests, and everything else with the latest config. It also helps you avoid duplication in your…

    2022 · v2.envkey.com

  3. 3
    LLMWare358

    Dev tool to make AI apps to deploy privately or locally

    2024

  4. 4LO

    Key management for multiple users and multiple cloud LLM/GenAI APIs is difficult to be both safe and convenient. Sharing keys among users risks leaking the key and makes it difficult to curb the leakage without interruptions. But assigning one key per user per cloud API results in too many keys to keep track of. Meet LlaMa(ster)Key, the secure and easy solution for API key management: * For each user, one master key for multiple APIs. * The master key is unique to each user. Granting and revoking a user's access won't impact other users. * The actual API keys to authenticate with cloud…

    2024 · github.com

  5. 5TD

    Hey HN! After 6 years of R&D, our small team is excited to share our project TideCloak - an IAM designed to help developers move fast without worrying about catastrophic breaches or overpowered admins with keys to the kingdom. Traditional IAMs rely on centralized authority - admins, root certificates, and decryption keys - which create glaring vulnerabilities in a breach. To address this, we’ve integrated Keycloak (Red Hat’s IAM) with a decentralized key architecture powered by our (academically validated) Ineffable Cryptography. Here’s the idea: keys are split across a decentralized network…

    2024 · github.com

  6. 6
    MaskLLM132

    Mask your LLM APIs for secure rotation and logging

    2025

  7. 7
    AskCodi230

    Custom LLMs, without training. Use via openai compatible api

    Nov 2025

  8. 8KD

    I built this after seeing multiple teams accidentally ship API keys in their frontend code. The problem: Modern web development moves fast. You're vibe-coding, shipping features, and suddenly your AWS keys are sitting in a tag visible to anyone who opens DevTools. I've personally witnessed this happen to at least 3-4 production apps in the past year alone. KeyLeak Detector runs through your site (headless browser + network interception) and checks for 50+ types of leaked secrets: AWS/Google keys, Stripe tokens, database connection strings, LLM API keys (OpenAI, Claude, etc.), JWT…

    Nov 2025 · github.com

  9. 9
    Gradient153

    Developer API for building private LLMs that you own

    2023

  10. 10ES
  11. 11

    Check if your secrets and API keys have leaked on GitHub.

    2023

  12. 12
    EnvKey79

    Protect api keys and credentials. Keep config in sync.

    2017

  13. 13

    Securely store your secrets in GitHub Private Repo

    Feb 2026 · github.com

  14. 14SO

    We built SwiftAI, an open-source Swift library that lets you use Apple’s on-device LLMs when available (Apple opened access in June), and fall back to a cloud model when they aren’t available — all without duplicating code. SwiftAI gives you: - A single, model-agnostic API - An agent/tool loop - Strongly-typed structured outputs - Optional chat state Backstory: We started experimenting with Apple’s local models because they’re free (no API calls), private, and work offline. The problem: not all devices support them (older iPhones, Apple Intelligence disabled, low battery, etc.). That…

    2025 · github.com

  15. 15LT

    Current AI-assisted CLI tools are often part of larger systems and work better on Linux. I built llm-term to address these. It's a Rust-based tool that compiles into a single binary file. You only need to download the binary, add it to your PATH, and configure your OpenAI key to get started. While llm-term offers an option for gpt-4o, it works great with gpt-4o-mini. So it's not costly. I appreciate any feedback or suggestions.

    2024 · github.com

  16. 16UL

    Recently featured in a LangChain blog https://blog.langchain.dev/empowering-development-with-flowt... , use LLMs to construct an API first runnable workflow with an IDE experience.

    2024 · github.com

  17. 171B
  18. 18

    Hey HN, I've been working on Hansel [1] (an encrypted personal data store you can query with agents), and there wasn't a good way to use the modern macOS Data Protection Keychain. Electron's safeStorage [2] uses the legacy file-based keychain, which allows other apps/agents to query it with the `security` CLI. Not great when you have a dozen agents running in the background! The Data Protection Keychain is nice because it limits access via code-signing access groups and lets you set access rules like Touch ID and/or password. 1: https://hansel.so/ 2.…

    19d ago · github.com

  19. 19LA

    G'day, HN! I'm one of the maintainers of `llm`. I've been working alongside a trusty group of contributors to bring this project to life, and we're now at a point where we're ready to share it with the world. Large language models (LLMs) are taking the computing world by storm due to their emergent abilities that allow them to perform a wide variety of tasks, including translation, summarization, code generation, and even some degree of reasoning. However, the ecosystem around LLMs is still in its infancy, and it can be difficult to get started with these models. `llm` is a one-stop shop for…

    2023 · github.com

  20. 20SE

    Good morning HN! For a while now I have been toying with this idea and now finally have a working prototype. This project allows you to encode secret messages into ordinary looking text by using arithmetic coding with a probability model derived from an LLM. By encrypting the message and then decompressing the encrypted message using the arithmetic coder, you get output which looks just like randomly sampled output from the LLM. Except, it actually encodes your secret messages in the specific choices of tokens. By using authenticated encryption, only a user who knows the key can know that a…

    2025 · github.com

  21. 21

    Never Hit Rate Limits

    Jun 2026 · keyking.ledgion.in

  22. 22
    Byte8

    Your local AI model or API key in a customizable llm chatbox

    Jul 2026 · get-byte.app

  23. 23OS
  24. 24

    Validate LLM API keys & see model access — free forever

    Mar 2026 · shortcomponents4u.com

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