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Templonix Lite
Local AI agent infrastructure with FAISS-based vector memory, document ingestion, workflow templates, and integrations with Gmail, Google Calendar, Eraser.io, a
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About
Local AI agent infrastructure with FAISS-based vector memory, document ingestion, workflow templates, and integrations with Gmail, Google Calendar, Eraser.io, and Jina.
Example tools
Illustrative tool names — the actual tool set is defined by the server at runtime.
query
Run a read-only SQL query
list_tables
List tables in the connected database
describe_table
Return column info for a table
Screenshots
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Frequently Asked Questions
Common questions about Templonix Lite.
- What is Templonix Lite and what are its primary uses?
- Templonix Lite serves as local AI agent infrastructure, providing vector memory, document ingestion, and workflow templating. It is designed for applications requiring local AI processing and integration with personal productivity tools.
- How do I install Templonix Lite within an MCP client like Claude Desktop?
- Installation within an MCP client like Claude Desktop typically involves adding the Templonix Lite slug through the client's marketplace or extension manager. Specific steps may vary depending on the client's interface and features.
- Does Templonix Lite require an API key or other authentication?
- No, Templonix Lite does not require an API key or other authentication credentials. Its design suggests a local-first approach without external authentication dependencies.
- What integrations and capabilities does Templonix Lite offer?
- Templonix Lite integrates with services like Gmail, Google Calendar, Eraser.io, and Jina. It includes FAISS-based vector memory for efficient data retrieval and supports document ingestion for various data types.
- Is there a cost associated with using Templonix Lite?
- Templonix Lite's licensing model is not explicitly detailed. It is hosted on GitHub, suggesting open-source availability, but specific usage costs would depend on its license and any associated services.
- What are the prerequisites for running Templonix Lite effectively?
- As local AI agent infrastructure, Templonix Lite likely requires sufficient local computational resources, including adequate CPU, RAM, and storage, especially for vector memory and document processing tasks.
Install Templonix Lite
Claude Desktop
Add this to claude_desktop_config.json.
{
"mcpServers": {
"templonix-lite": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-templonix-lite"
]
}
}
}Cursor
Add this to ~/.cursor/mcp.json.
{
"mcpServers": {
"templonix-lite": {
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-templonix-lite"
]
}
}
}VS Code
Add this to your workspace settings.json.
{
"mcp.servers": {
"templonix-lite": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@modelcontextprotocol/server-templonix-lite"
]
}
}
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