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NeuralCleave

Updated August 6, 2026

Overview / Description

NeuralCleave is an open-source personal AI assistant that brings every AI model, conversation, memory, and workflow together in one private, extensible intelligence layer. Rather than tying you to a single app, it runs one assistant across 32 channels — Telegram, WhatsApp, Discord, Slack and 29 more — and 13 LLM providers including Anthropic, OpenAI, DeepSeek and Ollama, so you reach the same assistant wherever you already chat. Its 3-tier memory system uses Redis for hot session data, Qdrant for vector semantic recall, and SQLite for long-term storage, with per-agent namespace isolation, compaction and an archiver, and it works fully offline. Task-aware model routing automatically sends 10 task types to the optimal provider — complex reasoning to Claude Opus, code to DeepSeek, cheap inference to Ollama — and a privacy mode can force all calls to run locally. NeuralCleave is voice-ready with Whisper speech-to-text, 3-tier text-to-speech and wake-word support across platforms, and it ships a plugin SDK with typed abstract base classes, entry-points, hot-reload and a Hub marketplace. The current v2.1.5 release advertises 41 REST endpoints and thousands of passing tests. It fits developers and privacy-minded power users who want a self-hosted, model-agnostic assistant they fully control rather than a closed cloud chatbot.

Used For

Best for developers and privacy-minded power users who want a self-hosted, model-agnostic AI assistant across many chat channels.

Pricing

Open source

$0/month

NeuralCleave is open-source and self-hosted; you supply your own infrastructure and pay the API costs of the LLM providers you connect

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Hosted / paid

Free

No hosted or paid plan pricing is published on the homepage

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Pros & Cons

Pros

  • One assistant across 32 channels (Telegram, WhatsApp, Discord, Slack and more) and 13 LLM providers
  • 3-tier memory: Redis hot session, Qdrant vector semantic, SQLite long-term, with per-agent isolation and offline support
  • Task-aware routing sends 10 task types to the optimal model (reasoning to Claude Opus, code to DeepSeek, cheap inference to Ollama)
  • Voice-ready with Whisper STT, 3-tier TTS and wake word; privacy mode forces all calls to run locally
  • Open-source with a plugin SDK (typed ABCs, hot-reload, Hub marketplace) and 41 REST endpoints

Cons

  • Self-hosting requires running Redis, Qdrant and SQLite, so setup is heavier than a hosted chatbot
  • No pricing is published; value depends on your own infrastructure and the API costs of the providers you route to
  • Broad multi-channel, multi-provider scope means a steeper learning curve for non-technical users
  • At v2.1.5 it is still a relatively young project despite a large test suite

Questions & Answers

Alternatives

Open WebUI, LibreChat

Reviews & Ratings

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