Alternatives

Products that do what NeuronScope does

Traces LLM outputs to the neurons and heads that caused them

1. 1
   Elevenlabs MCP▲216

   The official Elevenlabs MCP Server

   2025

2. 2
   PromptLayer▲87

   Trace AI requests, workflows, and costs in one timeline

   May 2026

3. 3
   Datature Portal▲100

   No-code webapp to visualize your deep neural nets

   2021

4. 4
   VoltOps▲111

   Trace, debug, and monitor AI agents apps in n8n-style

   2025

5. 5
   PlotNeurons▲88

   The most simple neural network plotter

   2018

6. 6
   Cortex▲70

   Run multiple claude-code agents from YAML config

   Jan 2026

7. 7
   Mindscope▲86

   Mind-mapping meets outlining

   2017

8. 8
   Context Sync▲95

   Persistent AI memory across Claude Desktop & Cursor IDE

   Oct 2025

9. 9
   Mindscope▲88

   A multi-level magnet board for your brain

   2014

10. 10
    Intrascope.app▲112

    Centralize your team’s AI, cut costs and stay organized

    Jan 2026

11. 11
    Breadcrumb▲163

    Open-source LLM tracing for agent visibility

    Mar 2026

12. 12
    Glassbrain▲102

    Visual trace replay for AI apps to fix bugs in one click

    Apr 2026

13. 13
    Tracea▲80

    Datadog for AI agents with traces, RCA, and team memory

    May 2026

14. 14
    Cortex by SKYNETLAB▲85

    The memory layer that decides what's worth remembering

    13d ago · skynetlab-cortex.com

15. 15VB
    Visual Brainfuck Interpreter▲60

    2020 · franklin.dyer.me

16. 16
    SigmaMind MCP▲121

    Build and control voice AI agents via MCP

    Apr 2026

17. 17
    Basedash MCP server▲102

    Your data analyst, in every AI tool you already use

    May 2026

18. 18
    BrainGaze▲87

    Next-generation eye tracking software

    2014

19. 19
    Maestro▲20

    Bloomberg Terminal for CLI agents

    Jan 2026

20. 20
    Macroscope▲20

    Make sense of your product development

    Sep 2025

21. 21GC
    GPT Circuits – Mapping the inner workings of simple LLMs▲6

    I've built an app that extracts interpretable 'circuits' from models using the GPT-2 architecture. These circuits reveal how specific inputs influence the probabilities of the next token in a sequence. While some tutorials present theoretical examples of how feedforward layers and attention heads may produce predictions, this app provides concrete examples of how information flows through an LLM. You can see, for example, the formation of features that search for simple grammatical patterns and trace their construction back to the use of more primitive features. Feel free to reach out with…

    2024 · peterlai.github.io

22. 22AB
    A better way to inspect and test AI Agents traces▲5

    Hi everyone! My team and I just open-sourced a bunch of cool agent dev tools: Invariant Explorer to visually inspect and understand AI traces and a testing framework, building on pytest.

    2024 · github.com

23. 23AO
    AMP – open-source memory server for AI agents (MCP, SQLite, D3.js)▲5

    Hi HN, I’m Akshay. I built AMP because I was tired of my AI agents having "amnesia" the moment I closed the terminal. Like many of you, I use Claude/Cursor daily. RAG is great for searching documentation, but it’s terrible for continuity. It chunks text blindly, losing the narrative. When I asked my agent "Why did we decide to use FastAPI last week?", it would hallucinate or just give me generic pros/cons because the specific context of our decision was lost in a vector soup. So I decided to build a proper *Hippocampus* for my agents. *What is it?* AMP is a local-first memory…

    Dec 2025 · github.com

24. 24MT
    MemHub, Turn Your GPT/Claude/Gemini History into LLM-Wiki Mindmap▲6

    Hi, this is Tristan, CPO of XTrace. We are launching a very cool feature that is inspired by Andrey Karpathy's LLM Wiki mindmap. Let everyone who doesn't have enough sessions and markdowns made with claude code be able to visualize their own memory mindmap!

    May 2026 · github.com

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