On Prem Python Packages

radlab-llm-router

LLM Router is a service that can be deployed on‑premises or in the cloud. It adds a layer between any application and the LLM provider. In real time it controls traffic, distributes a load among providers of a specific LLM, and enables analysis of outgoing requests from a security perspective (masking, anonymization, prohibited content).

mcp-tracking

Sovereign task tracking for LLM agents (suivi souverain): local-first, self-hosted, on-prem MCP server, HTTP API and Textual TUI for long-running tasks, no cloud

engram-connect

Engineering memory for AI coding agents

refact

AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.

lyra-assistant

Sovereign, local-first voice DevOps assistant (assistant vocal souverain): Ollama LLM, Whisper STT, Piper TTS and MCP tools for KVM, backups and smart home

llmesh-lleval

LLM eval framework for the FullSense LLM family - on-prem + cloud unified A/B, progressive size matrix, honest disclosure 5+1 axis. Apache-2.0, pre-PoC.

fullsense

FullSense — umbrella brand & spec for llmesh / llive / llove (Apache-2.0)