Neuroverse
@joshua400
Neuroverse について
Multilingual intelligence + memory + safety + voice layer for autonomous AI agents
設定
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"neuroverse": {
"command": "npx",
"args": [
"-y",
"neuroverse@latest"
],
"env": {
"OPENAI_API_KEY": "<YOUR_OPENAI_API_KEY>",
"REDIS_URL": "redis://localhost:6379",
"GROQ_API_KEY": "<YOUR_GROQ_API_KEY>"
}
}
}
}ツール
ツールは検出されませんでした
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
概要
What is Neuroverse?
Neuroverse is an MCP server that gives AI agents multilingual intelligence (Tamil, Hindi, Telugu, Kannada, Malayalam, Bengali + English code-switching), tiered memory, a voice layer, intent extraction, multi-model routing, and three-layer safety. It is designed for autonomous agents that need to understand mixed Indian languages, remember context across sessions, and execute actions safely.
How to use Neuroverse?
Install via npm (npm install neuroverse) for a Node.js 18+ environment (zero database deps) or from source (Python 3.10+, requires PostgreSQL for persistent memory). Add the standard MCP stdio configuration to your host (Cursor, VS Code Copilot, Claude Desktop). Then instruct your agent to use MCP tools like neuroverse_process for handling requests and neuroverse_store/neuroverse_recall for persistent context.
Key features of Neuroverse
- Multilingual Intelligence (Vani) with keyword normalisation for code-switched input
- Intent Extraction (Bodhi) — LLM-first with deterministic rule-based fallback
- Tiered Memory (Smriti) — short-term, episodic, semantic with importance scoring
- 3-Layer Safety (Kavach) — blocklist → risk classifier → LLM judge at zero token cost
- Multi-Model Router (Marga) — routes tasks to OpenAI, Anthropic, Sarvam AI, Ollama, OpenRouter
- Agent-to-Agent (Setu) — REST+JSON agent registry for automatic handoff
Use cases of Neuroverse
- Handling user queries in mixed Indian languages (e.g.,
"anna indha file ah csv convert pannu") - Maintaining agent context across chat sessions via tiered memory
- Blocking dangerous actions like
DROP DATABASEbefore execution - Routing analytical reasoning tasks to OpenRouter and cheaper tasks to local models
- Enabling voice input (Whisper STT) and voice output (Coqui TTS) for agents
FAQ from Neuroverse
What languages does Neuroverse support?
Neuroverse supports Tamil, Hindi, Telugu, Kannada, Malayalam, and Bengali with English code-switching. It normalises only domain-critical keywords rather than full translation.
Does Neuroverse require a database?
The npm edition uses JSON files and requires no database. The Python source edition requires PostgreSQL for persistent tiered memory.
How does the safety layer work?
Kavach uses three layers: a keyword blocklist, an intent risk classifier, and an LLM judge. It runs at zero token cost and sub-millisecond latency, blocking dangerous actions before execution.
What model providers can Neuroverse route to?
The multi-model router (Marga) supports OpenAI, Anthropic, Sarvam AI, Ollama, and OpenRouter. It selects the best model automatically based on task type.
What are the system requirements?
Node.js 18+ for the npm edition; Python 3.10+ with PostgreSQL for the source edition. No other runtime dependencies are mandatory.
よくある質問
What languages does Neuroverse support?
Neuroverse supports Tamil, Hindi, Telugu, Kannada, Malayalam, and Bengali with English code-switching. It normalises only domain-critical keywords rather than full translation.
Does Neuroverse require a database?
The npm edition uses JSON files and requires no database. The Python source edition requires PostgreSQL for persistent tiered memory.
How does the safety layer work?
Kavach uses three layers: a keyword blocklist, an intent risk classifier, and an LLM judge. It runs at zero token cost and sub-millisecond latency, blocking dangerous actions before execution.
What model providers can Neuroverse route to?
The multi-model router (Marga) supports OpenAI, Anthropic, Sarvam AI, Ollama, and OpenRouter. It selects the best model automatically based on task type.
What are the system requirements?
Node.js 18+ for the npm edition; Python 3.10+ with PostgreSQL for the source edition. No other runtime dependencies are mandatory.
基本情報
「その他」の他のコンテンツ

Peekaboo MCP – lightning-fast macOS screenshots for AI agents
steipetePeekaboo is a macOS CLI & optional MCP server that enables AI agents to capture screenshots of applications, or the entire system, with optional visual question answering through local or remote AI models.
Awesome Mlops
visengerA curated list of references for MLOps
ICSS
chokcoco不止于 CSS
MCP Toolbox for Databases
googleapisMCP Toolbox for Databases is an open source MCP server for databases.
AutoBrowser MCP
autobrowser-aiBrowser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
コメント