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NeuralCleave

The intelligence layer for every conversation.

Open Source
Developer Tools
Artificial Intelligence
GitHub
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Hunted byAmit ChandraAmit Chandra

One AI assistant. 32 channels. 13 LLM providers. 3-tier memory. Smarter, faster, and fully yours.

Top comment

Hey Product Hunt 👋 I'm Amit, the solo developer behind NeuralCleave. I built this out of a personal frustration. I was juggling ChatGPT in one tab, Claude in another, a Telegram bot I'd set up months ago, and Ollama running locally — none of them sharing memory, none talking to each other. I wanted ONE agent. On MY machine. That works across every platform I actually use. A few things I'm particularly proud of: 🧠 The ReflectionEngine — every response is automatically scored across Relevance, Completeness, Accuracy and Tone (0–100). If it fails the threshold it gets regenerated. You only ever see passing responses. 🔒 Privacy mode — forces all inference through Ollama. Zero data leaves your machine. Zero API calls to anyone. 📡 32 channels — from Telegram and Discord to Nostr, Tlon/Urbit and iMessage. Same agent, same memory, everywhere. It's been about a year of building. 5,064 tests. v2.1.0 shipped last week. pip install neuralcleave to try it — runs in under a minute. Happy to answer anything — what would you want to connect your AI agent to first? 🙏

Comment highlights

Hey everyone 👋 Maker here with a v2.1.5 update —

Been using NeuralCleave as my actual daily driver for the past few weeks. Three things broke or annoyed me enough to fix them.

🔧 Terminal CLI routing — fixed

The embedded terminal lets you run `neuralcleave` commands inside the desktop app. In v2.1.4 these were silently broken — the command ran, prompt returned, nothing looked wrong, but the gateway response was being discarded before it reached the output. Fixed.

Commands that now work: `neuralcleave status`, `channels list`, `memory search`, `chat`

🧠 Multi-phase thinking indicator

Instead of a static spinner, the chat now cycles through:

Thinking → Searching memory → Analyzing context → Reviewing context → Crafting response

Same pattern as Claude's UI. A 6-second wait with a spinner feels broken. The same 6 seconds with status messages feels intentional.

↔️ Dynamic chat width + toolbar redesign

Chat area now expands when the sidebar collapses, contracts when it opens — smooth CSS transition. History and New Chat buttons redesigned into a proper grouped pill control.

---

5,076 tests passing. PyPI updated.

- ⬇️ neuralcleave.com

- 🐍 `pip install --upgrade neuralcleave`

About NeuralCleave on Product Hunt

The intelligence layer for every conversation.

NeuralCleave was submitted on Product Hunt and earned 2 upvotes and 3 comments, placing #133 on the daily leaderboard. One AI assistant. 32 channels. 13 LLM providers. 3-tier memory. Smarter, faster, and fully yours.

NeuralCleave was featured in Open Source (68.7k followers), Developer Tools (517.5k followers), Artificial Intelligence (475.9k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 234k products, making this a competitive space to launch in.

Who hunted NeuralCleave?

NeuralCleave was hunted by Amit Chandra. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.

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