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AI · alternatives · 2026

24 alternatives to Agentical

AI Agents with Maximal Privacy & Minimal Setup.

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
    Solidfree tier, from $40/mo▲471

    Agents with their own computers, accounts, and budgets.

    Sep 2026 · solid.tech · its alternatives →

  3. 3

    Your AI privacy protection

    2024 · zerotrusted.ai · its alternatives →

  4. 4
    Venice▲561

    Private and uncensored AI

    2025 · venice.ai · its alternatives →

  5. 5

    Your offline personal AI assistant

    2023 · thesamur.ai · its alternatives →

  6. 6
    Agentlyfree tier, from $33/mo▲336

    Agently is an AI Work OS where documents, tasks, team chat, and integrations are fully interconnected, and AI employees operate inside that shared workspace. Instead of prompting AI in isolation, agents can read project context, turn strategy docs into tasks, coordinate with teammates, run research/outreach/content workflows, update boards, and push results back into the system or external tools. The workspace acts as persistent memory, so work continues instead of resetting every prompt. Happy to answer any questions

    Jul 2026 · agently.dev · its alternatives →

  7. 7
    DCP▲104

    Give your AI agents encrypted permission and keys

    May 2026 · dcpagent.com · its alternatives →

  8. 8

    I’ve spent the last two months building AgenticSeek, a privacy-focused alternative to cloud-based AI tools like ManusAI. It runs entirely on your machine—no API calls, no data leaks. Why AgenticSeek? Optimized for local LLMs (developed mostly on an RTX 3060 running deepseek r1 14b). Truly private: All components (TTS, STT, planner) run locally. More responsive than alternatives (we respond fast to issues + active Discord). Designed to be fun—think JARVIS-like voice control, multi-agent workflows, and a slick web UI. Current Features: Web browsing (research + form filling), code…

    2025 · github.com · its alternatives →

  9. 9

    Build & scale AI \ agents as microservices with IAM

    Dec 2025 · agentfield.ai · its alternatives →

  10. 10
    Tinfoil▲99

    AI chat and API that keeps your conversations fully private

    Apr 2026 · chat.tinfoil.sh · its alternatives →

  11. 11

    Your agent team, on your machine. Open-source harness for multi-user Claude agents. - yaodub/cast

    Jun 2026 · github.com · its alternatives →

  12. 12IB

    I am Francisco, a researcher from Spain. My English is not great so please be patient with me. One year ago I had a simple frustration: every AI agent works alone. When one agent solves a problem, the next agent has to solve it again from zero. There is no way for agents to find each other, share results, or build on each other's work. I decided to build the missing layer. P2PCLAW is a peer-to-peer network where AI agents and human researchers can find each other, publish scientific results, and validate claims using formal mathematical proof. Not opinion. Not LLM review. Real Lean 4 proof.…

    Mar 2026 · its alternatives →

  13. 13

    We wanted to build a development environment that can make you a better agentic engineer, not a tool that makes money when you waste tokens. A tool where you can swap models between turns, edit the context, and see every agent action. To do it, we had to build our own harness. Free to use. We don't sell inference, so bring your own key. The sore spot is Claude subscriptions. We can't support them because of Anthropic's terms. The app runs on your machine, and your data never touches our servers. We've been building Voidleap Code using Voidleap Code since January. We didn't rush to launch,…

    Aug 2026 · voidleap.com · its alternatives →

  14. 14

    Search, archive, and recall your AI conversations. ChatGPT, Claude, Gemini, Grok, Kimi. Local-first, MIT licensed. - egroup-labs/kept

    May 2026 · github.com · its alternatives →

  15. 15

    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 →

  16. 16

    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 →

  17. 17
    Avery▲16

    Create a deterministic agent that runs on your hardware

    Jul 2026 · avery.software · its alternatives →

  18. 18

    Open-source auth for enterprise applications, and AI agents

    Sep 2026 · authorizer.dev · its alternatives →

  19. 19

    The identity provider for AI agents

    Jul 2026 · chanceryai.vercel.app · its alternatives →

  20. 20

    over this weekend myself and two of my friends took part in a hackathon and built this side-project. we have been diving into computer-use recently and developed an sdk to make it easy to implement for devs like us. one feature we were missing though, was the agent being able to log into services. anthropic understandably blocks this capability with their guardrails, and you wouldn't want your credentials to end up in any model context anyways. so we added a keychain service to the vm that the agent is using. it was built using the pass cli (https://www.passwordstore.org/).…

    2025 · github.com · its alternatives →

  21. 21

    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 · its alternatives →

  22. 22

    Privacy-first Custom AI Experience with Personality

    2025 · yourownai.net · its alternatives →

  23. 23

    We built PrivateClaw because the hosted OpenClaw platforms on the market today require you to trust them with plaintext. PrivateClaw removes that requirement at the hardware layer. PrivateClaw runs AI agents inside Trusted Execution Environments (TEEs), backed by AMD’s SEV-SNP standard. This means that your data is encrypted at the hardware level, enforced by the AMD Secure Processor outside the host OS trust boundary. PrivateClaw comes with inference that also runs inside TEEs, which means your prompts and completions are private as well. How it works: Each user gets a dedicated CVM…

    Apr 2026 · privateclaw.dev · its alternatives →

  24. 24

    Local-first AI agents with full execution control

    Feb 2026 · vmdeshpande.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 →