Atlarix v5.1 adds cloud tiers while maintaining local AI coding support

Atlarix v5.1.0 has been released, adding cloud service tiers while maintaining first-class support for local AI models. This native desktop AI coding copilot works with Ollama and LM Studio, targeting developers frustrated with how existing IDEs handle local models.
Blueprint Architecture
The core feature is Blueprint - a persistent graph of your codebase architecture stored in SQLite. Instead of dumping entire files into context for each query, Atlarix maintains this graph to provide precise, scoped context to the AI. According to the developer, this allows 7B local models with good Blueprint context to perform work previously assumed to require frontier models.
Version 5.1.0 Features
- Compass - built-in cloud tiers for users who want something that works immediately
- Unchanged local model support remains first-class
- Full Ollama and LM Studio support
- Native desktop application
- Free for Mac and Linux
The tool is available at atlarix.dev and addresses specific gaps in how existing IDEs handle local AI models for coding assistance.
📖 Read the full source: r/LocalLLaMA
👀 See Also

OpenClaw as Infrastructure-as-Code Interface for Home Lab Management
OpenClaw transforms from AI gadget to primary computer interface for home lab management, executing tasks like configuring Traefik containers, creating Dashy configurations, and setting up Tailscale access with direct machine access.

Reframe slash command for Claude Code applies cognitive science technique to problem-solving
A developer created a /reframe slash command for Claude Code that implements a cognitive science technique called distance-engagement oscillation. The approach was tested across three open-weight LLMs with 50 problems and consistently outperformed other methods.

Pilot Protocol: Networking Layer for OpenClaw Agents
Pilot Protocol is an open-source networking layer that handles connectivity between OpenClaw agents across different machines. It provides permanent virtual addresses, encrypted UDP tunnels, and NAT traversal without VPNs or ngrok.

Benching local Qwen 3.6 27B as a Codex validator co-agent
A developer built a reproducible eval suite to test Qwen 3.6 27B GGUF profiles (llama.cpp) as a sidecar validator for Codex, finding 128k context profiles necessary for long-context tasks and minimal accuracy loss with q8 KV cache.