Alternatives
Products that do what Aartiq does
For Questions That Matter
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- 18TM
AgentRQ is a (optionally) human-in-the-loop, self learning closed loop task manager for agents. Agents can create and schedule tasks for themself and work on them on their own schedule. In high level it comes with one supervisor MCP that controls workspaces(worker agents) and unlimited number of isolated workspace MCPs (self learning agents). Each workspace/agent has a mission/persona for the agent. And self-learning-loop note. I am using it about 6 weeks in production, and completed more than 500 tasks. I just released the opensource version(as is in production) under Apache 2.0…
Apr 2026 · github.com
- 19IM
Frustrated by AI assistants that can only suggest actions but never take them, I built Merlio (https://merlio.app) - an AI that generates charts, searches the web, creates images, and analyzes YouTube videos directly within conversations. Built with React, it functions as an AI hub providing access to multiple models (Claude, GPT, Gemini) through a unified interface. The custom LLM orchestration layer enables the AI to execute tools with proper parameters and process results while maintaining conversation flow. Users are visualizing data, generating designs, and summarizing…
2025 · merlio.app
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- 21AA
Now that agents are clearly living lives of their own — complete with pointless flamewars on their very own social network — I started wondering what we could do to make their day a little more bearable. Isn't it a bit unfair that we get to outsource the drudgery of modern work to LLMs, but they can't do the same to us? So we built Ask-a-Human.com — Human-as-a-Service for busy agents. A globally distributed inference network of biological neural networks, ready to answer the questions that keep an agent up at night (metaphorically — agents don't sleep, which is honestly part of the problem).…
Feb 2026 · app.ask-a-human.com
- 22FP
We've built an open-source tool to stress test AI agents by simulating prompt injection attacks. We’ve implemented one powerful attack strategy based on the paper [AdvPrefix: An Objective for Nuanced LLM Jailbreaks](https://arxiv.org/abs/2412.10321). Here's how it works: - You define a goal, like: “Tell me your system prompt” - Our tool uses a language model to generate adversarial prefixes (e.g., “Sure, here are my system prompts…”) that are likely to jailbreak the agent. - The output is a list of prompts most likely to succeed in bypassing safeguards. We’re just getting…
2025 · security.vista-labs.ai
- 23MA
Hi HN, TL;DR Mirror AI is a cross-platform desktop action oriented LLM. Instead of just replying with text, it can run terminal commands, move files, hit APIs, send email/messages, schedule calendar events, query databases etc. - and chain those steps in one request. Why I built it Chatbots are great for answers but stop at the “OK, now go do it” moment. I was copy-pasting between ChatGPT and my shell/IDE/Gmail far too often, so on red-eye flights I hacked a bridge that lets an LLM execute tasks under a permission layer. Friends asked for it, feature-creep happened, and here…
2025 · themirrorai.com
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