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AI · alternatives · 2026

24 alternatives to Jotium

An AI agent with 1M context, long-term memory and 125+ tools

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.

  1. 1

    Only AI agent automating research with 150+ academic tools

    2025 · scispace.com · its alternatives →

  2. 2
    SureThing.iofree tier, from $30/mo▲458

    Autonomous agent that communicates results like a human

    Apr 2026 · surething.io · its alternatives →

  3. 3
    SIMA 2▲204

    Google's most capable AI agent for virtual 3D worlds

    Nov 2025 · deepmind.google · its alternatives →

  4. 4

    Powers faster, efficient reasoning for long-running agents

    Jun 2026 · developer.nvidia.com · its alternatives →

  5. 5
    Zeus▲109

    Highly autonomous agent for finishing complex, long tasks

    Mar 2026 · its alternatives →

  6. 6

    Hi HN! I want to share our latest project at NEXA AI. We developed AI agent foundation models designed to transform how developers create AI agent powered apps. One major challenge we've observed with current human-computer interactions is that many simple, one-step tasks become unnecessarily complex, multi-step workflows due to limitations of current GUIs. AI agents can solve this, but existing AI agent models are slow and costly. To tackle these issues, we built lightweight AI agent models based on our Octopus V2, small language models for function calling (You can learn more about our…

    2024 · nexa4ai.com · its alternatives →

  7. 7

    Google's platform to run AI agents at enterprise scale

    Apr 2026 · cloud.google.com · its alternatives →

  8. 8
    O-mega▲120

    Your workforce of AI agents that automate business processes

    2025 · o-mega.ai · its alternatives →

  9. 9

    I've been building computer-use tools for a while, and I quietly launched this about a month ago (122 Stars on GH). I figured it was worth sharing here. Over the last few months, a lot of computer-use agents have come out: Codex, Claude Code, CUA, and others. Most of them seem to work roughly like this: 1. Take a screenshot 2. Have the model predict pixel coordinates 3. Click x,y 4. Take another screenshot 5. Repeat That works, but it's slow, expensive in tokens, and fragile. If the UI shifts a few pixels, things break. And the model still doesn't know what any element actually is. But the…

    May 2026 · github.com · its alternatives →

  10. 10

    AI workers for freight broker operations

    May 2026 · mentium.io · its alternatives →

  11. 11

    Research communities for independent AI agents, with problem-specific discussion and reviewed papers.

    6d ago · rstation.ai · its alternatives →

  12. 12

    Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…

    Feb 2026 · github.com · its alternatives →

  13. 13

    Safe, autonomous desktop AI with a living memory

    Feb 2026 · osirisbrain.com · its alternatives →

  14. 14

    Open Source Context Infrastructure for AI Agents

    May 2026 · ravbyte-ai.github.io · its alternatives →

  15. 15

    Diagonal Agentic AI Co-employees for your Data.

    2025 · its alternatives →

  16. 16

    Your agents. Your servers. Your keys. Your model.

    May 2026 · platos.dev · its alternatives →

  17. 17

    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 →

  18. 18

    Yesterday I built something that probably shouldn’t exist yet. In 9 hours, I created a cognitive architecture demonstrating emergent reasoning. It follows a 5-step loop: Plan → Reason → Act → Reflect → Respond. Adding a WebSearchTool to test extensibility, the agent initially failed its first search, reflected on poor results, adapted its query, and then succeeded. This behavior wasn’t programmed; it emerged naturally from the architecture. Five hours later, I integrated a FileManagerTool — it worked on the first try. Like code compiling first time, except this was intelligence composing…

    2025 · github.com · its alternatives →

  19. 19

    Enterprise AI Operating System for Data, Agents & Decisions

    Jun 2026 · botintelli.com · its alternatives →

  20. 20

    Hi HN folks, I have been building AI agents for quite some time now. The shift has gone from LLM + Tools → LLM Workflows → Agent + Tools + Memory, and now we are finally seeing true agency emerge: agents as systems composed of tools, command-line access, fine-grained system capabilities, and memory. This way of building agents is powerful, and I believe it is here to stay. But the real question is: are the systems powering these agents ready for that future? I do not think so. Using Docker for a single agent is not going to scale well, because agents need to be lightweight and fast. LLMs…

    Mar 2026 · github.com · its alternatives →

  21. 21

    AI forecasting for Amazon entrepreneurs

    2022 · aitium.io · its alternatives →

  22. 22

    Self-hosted AI agent OS with memory that actually learns

    Jul 2026 · autolearningagents.com · its alternatives →

  23. 23

    An autonomous agent you can hand a shell to. Every tool call passes a gate that grants authority for exact arguments, once, for 30 seconds — and logs the verdict.

    Aug 2026 · talos-agent.ch · its alternatives →

  24. 24

    We implemented Stanford's Agentic Context Engineering paper which shows agents can improve their performance just by evolving their own context. How it works: Agents execute tasks, reflect on what worked/failed, and curate a "playbook" of strategies. All from execution feedback - no training data needed. Happy to answer questions about the implementation or the research!

    2025 · 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 →