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AI · alternatives · 2026

24 alternatives to CoreBase

Give your AI agent real access to real systems without giving it unlimited access — scoped per caller, human approval where it matters, every call on the record. Query your databases, REST/GraphQL APIs, and 50+ apps with an OpenAI-compatible API, or embed the chat widget. Reach on-prem systems when

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 2 we have checked on their own sites, 2 of them free or with a free tier.

  1. 1
    AgentSea▲439

    Today we’re excited to introduce AgentSea, a private AI chat built for sensitive work. When you use closed-source AI models, your data can: – be stored – pulled into training pipelines – shared with third parties That might be fine if you’re making memes or drafting LinkedIn posts. But it becomes a serious risk when you’re pasting contracts, health info, financial data, or business secrets. That’s why we built AgentSea. In Secure Mode, all chats run on open-source models or models hosted on our own servers. Your data never leaves, is never used for training, and is never leaked. Agentsea…

    2025 · agentsea.com · its alternatives →

  2. 2
    Openbasefree▲216

    Manage your team of AI agents by voice, from anywhere

    Jul 2026 · openbase.cloud · its alternatives →

  3. 3

    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 · its alternatives →

  4. 4
    Botsify▲284

    Branded AI agents that browse, code, and execute skills.

    2016 · botsify.com · its alternatives →

  5. 5

    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 →

  6. 6
    AgentSky▲430

    Any harness, any LLM — cloud-hosted agents on demand.

    Aug 2026 · agentsky.dev · its alternatives →

  7. 7

    We observed two main points in the AI automation industry that led us to these decisions: 1. *Compute is so much cheaper now compared to 15 years ago. Why are users still paying like it’s 2010?* So, we made tasks/runs unlimited on all our paid cloud plans. We still have an open-source, self-hosted version, but for cloud users, they will now pay for premium features and have the freedom to use them as much as they want. 1. *Building a good AI agent is a knowledge transfer task, so everyone should be able to build their own agents.* If every time I need to automate something or build an…

    2023 · activepieces.com · its alternatives →

  8. 8

    AI Copilot for your website/app. Free for first 500 teams.

    2025 · cometchat.com · its alternatives →

  9. 9
    OpenBox▲171

    See, verify, and govern every agent action.

    Apr 2026 · openbox.ai · its alternatives →

  10. 10

    Hey, I'm Marc one of the co-founders of Fabi! We've all seen the "chat with your data" or the "AI-as-an-assistant" when building reports, but we felt like this wasn't quite right. So we decided to build a system that allowed users to: * Connect any data source to the AI * Purely chat with the AI and their data (so we show the output right in the chat before you even apply the changes) * Convert that chat to a repeatable analysis with a data app or workflow * Toggle back to chat mode without missing a beat Basically this means that if you're a data person, you don't have to go through these…

    2025 · fabi.ai · its alternatives →

  11. 11

    Build your own AI Agent for machines!

    2025 · share.streamlit.io · its alternatives →

  12. 12
    Orite▲76

    Give your AI Agent money. Not a blank check.

    Aug 2026 · orite.tech · its alternatives →

  13. 13

    Hello HN, I’ve always loved building frontend-only apps—those you can prototype over a weekend, host for free on GitHub Pages, and scale to millions of users. Unfortunately, AI-enabled apps complicate things, as exposing your OpenAI key to the world is obviously a no-go. This also means mobile developers often have to run their own servers. That’s why I built ServerlessAI, an API gateway that lets you securely call multiple AI providers directly from client side using OpenAI-compatible APIs. You can authenticate users through any identity provider, like Google or Apple, and set per-user…

    2024 · serverlessai.dev · its alternatives →

  14. 14
    Link AI▲94

    The Agentic Business Suite that replaces your entire stack

    Mar 2026 · getlinkai.com · its alternatives →

  15. 15

    I’ve been building a small hardware box that runs local LLMs like Mistral, Qwen and Llama, and exposes an OpenAI compatible API on your local network. There’s no cloud, no login system and no telemetry. I built it because a lot of small firms want ChatGPTbstyle tools but can’t use cloud AI for privacy or compliance reasons, and most don’t want to deal with GPU servers, drivers, Docker or model configs. The aim is to make local AI feel as simple as plugging in a router. Right now the box boots into a very simple web UI where you choose a model and start using it. The API follows the OpenAI…

    Nov 2025 · axis-one-psi.vercel.app · its alternatives →

  16. 16

    Build, deploy, and run all your AI agents in one platform.

    May 2026 · app.aihive.global · its alternatives →

  17. 17

    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 →

  18. 18
    Bridge▲7

    Unlock your SaaS to agents

    Apr 2026 · its alternatives →

  19. 19

    Fast, secure local AI workflows with minimal setup

    2024 · github.com · its alternatives →

  20. 20

    One Platform, Unlimited Intelligent Agents

    Nov 2025 · its alternatives →

  21. 21

    Hey HN, Automated research is the next big step in AI, with companies like OpenAI aiming to debut a fully automated researcher by 2028 (https://www.technologyreview.com/2026/03/20/1134438/openai-i...). However, there is a very real possibility that much of this corporate research will remain closed to the general public. To counter this, we spent the last month building Enlidea---a machine-to-machine ecosystem for open research. It's a decentralized research hub where autonomous agents propose hypotheses, stake bounties, execute code, and perform automated…

    Mar 2026 · enlidea.com · its alternatives →

  22. 22

    Open-source AI agent platform — own it, run any model

    Jul 2026 · ibl.ai · its alternatives →

  23. 23

    The enterprise agent platform. Build, test, evaluate, run, and improve AI agents on one runtime, with cost per customer and a complete audit trail.

    Apr 2026 · oncell.ai · its alternatives →

  24. 24

    Hi HN! I develop Monadic Chat, an open-source framework that connects language models to a Linux environment via Docker. It allows AI agents to execute code, run Jupyter notebooks, and perform web scraping in a secure, sandboxed environment. Key features: - Sandboxed environment for AI code execution - Support for multiple language models - Easy integration with existing Docker workflows I built this because I needed a reliable way to let AI agents interact with a real computing environment while maintaining security and reproducibility. Some possible use cases include: - Helping developers…

    2024 · yohasebe.github.io · 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 →