Alternatives
Products that do what Neuronpedia, an open source platform for AI interpretability does
Mechanistic interpretability is the science of understanding how AI works internally, and Neuronpedia is a interpretability platform with APIs and tools to explore, share, and steer AI models. We're open sourcing it today along with 4TB of interp data. Blog post here: https://www.neuronpedia.org/blog/neuronpedia-is-now-open-sou...
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Build a team of AI specialists that deliver quality work
Mar 2026
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- 18MA
Hi HN, I'm a solo developer learning to code, and I'd love to share my second real project: MapMyLearn, an AI-powered app that automatically generates personalized learning paths based on any topic you input. What it does: Takes a topic (e.g. "history of capitalism", "learn Rust", or "data storytelling") Uses AI to break it down into a structured course with modules and submodules Each submodule includes: - Detailed, pedagogical content (developed based on online sources to mitigate hallucinations) - A quiz of 10 questions - Recommended resources - An AI chatbot for Q&A - Optional audio…
2025
- 19IB
I was struggling to understand neuroscience and the word associations between technical terms and where the locations are (anatomically) And quite some of my neuroscience friends are loving it.
Dec 2025 · neuroglance.labs.memebu.com
- 20DR
The first ever AI peer reviewed research article just got approved. It’s kinda crazy how advanced AI have come to replace researchers. I've just been using Deep Research on ChatGPT and Perplexity a lot to write and research complex technical reports for my boss. He loves the reports and it has decreased my workload a ton but I still have some frustrations with it. None of them provide an API that gets me the same quality of output you would with the applications. I wanted something with more control on the LLMs, swappable with the reasoning new models that came out. Not just prompt →…
2025 · github.com
- 21OA
Hey Hacker News, I'm Nir, cofounder of Oboe (https://oboe.fyi), which we just launched publicly. Oboe lets anyone create a course out of a single prompt to learn about any topic. We're on a mission to democratize learning. We envision a future in which AI feeds us, making us smarter, and reignites the love of learning we all seem to have lost. Each course enables a variety of learning formats, letting you learn how you want, when you want. From deep dive articles to podcasts to games to quizzes. We want courses to feel lightweight and accessible, and to encourage following rabbit…
Sep 2025
- 22HO
Hey HN, It’s Vineeth from Plastic Labs. We've been building Honcho, an open-source memory library for stateful AI agents. Most memory systems are just vector search—store facts, retrieve facts, stuff into context. We took a different approach: memory as reasoning. (We talk about this a lot on our blog) We built Neuromancer, a model trained specifically for AI-native memory. Instead of naive fact extraction, Neuromancer does formal logical reasoning over conversations to build representations that evolve over time. Its both cheap ( $2/M tokens ingestion, unlimited retrieval), token…
Jan 2026 · github.com
- 23IA
I am working on an AI that uses multiple LLM based agents to do medical research on any topic you choose! The program terminates after a set number of iterations and all of the findings are saved. Still a work in progress but it is showing some promising results imho! Would love to receive any critical and constructive feedback, collaborate, Review your PRs, or discuss your ideas!!
2023 · github.com
- 24NC
Most orchestration frameworks today still behave like fragile chains — they break when faced with contradictions, long-term memory, or dynamic routing. Neuron is a cognitive multi-agent architecture that thinks in circuits instead of chains. Multiple agents collaborate in parallel, adapt their pathways in real time, and keep persistent context across extended interactions. Key components Agents: Intake, Reasoning, Response, Memory Circuits: Dynamic routing instead of linear chaining Memory: Episodic + contextual persistence Monitoring: Full reasoning traces for observability Why it matters…
2025
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