u/SnooMarzipans9093

I’m building Kimari Local AI, an open-source toolkit focused on running local LLMs on older consumer NVIDIA GPUs like the GTX 1060 6GB and GTX 1080 8GB.

The goal is not to claim magic performance or pretend an old GPU can compete with modern hardware.

The goal is more practical:

• make local AI easier to run on hardware people already own
• provide sane GPU profiles for limited VRAM
• support GGUF models through llama.cpp + CUDA
• expose a local OpenAI-compatible API
• add CLI tools for setup, diagnostics, benchmarking and model compatibility
• keep everything local: no cloud, no subscriptions, no telemetry

Current status: v0.1.57-alpha.

What works today:

• CLI commands like doctor, start, status, bench, fit, optimize and pull
• llama.cpp runtime support with CUDA acceleration
• local OpenAI-compatible endpoint
• KimariFit scoring concept: useful intelligence per GiB of VRAM
• GPU profiles for old cards
• Open WebUI / Continue / local agent integration plans
• Hugging Face presence with a demo/checker Space and compatible GGUF model collection

Important clarification:

Kimari is currently the framework, not the final model.

Kimari-4B is planned and under development, but no public weights, adapters or official GGUF files are released yet. For now, Kimari is designed to run compatible existing GGUF models locally.

I’d appreciate technical feedback, especially from people running local models on older hardware.

Hey Pilots! 👋🔥

I’m excited to share MedaClaw Arena, a web-based tactical robot combat game focused on modular builds, AI cores, strategy and deterministic battles.

The core idea is simple:

🤖 Build the Body

Assemble your MedaClaw in the Assembly Lab using modular parts such as Head, Torso, Claws, Legs, Back and Armor. Each part affects stats like Speed, Defense, Offense and Utility.

🧠 Insert the MedaCore

Choose a living hexagonal AI core with its own class and personality. Current classes include Striker ⚔️, Guardian 🛡️, Analyst 📊, Hacker 💻, Ghost 👻 and Oracle 🔮.

🏟️ Enter the Arena

Combat is being built around deterministic tactical battles with clear phases:

📡 SCAN → 📋 PLAN → ⚡ EXECUTE → 🌀 REACT → 💥 RESOLVE → 📈 LEARN → 🏆 REPORT

The goal is simple: same build, same decisions, same result. No random frustration. You can replay battles, study what happened and improve your strategy.

Key features:

✅ Modular robot assembly

✅ Sentient MedaCore system

✅ Tactical deterministic combat

✅ Retro cel-shaded visual style

✅ Part + core synergy

✅ Fair progression focused on smart builds, not pay-to-win advantages

MedaClaw Arena is still early, and the combat system is currently in prototype, but the foundation is already live and growing.

If you like mechs, modular robots, tactical RPGs, AI companions or web games, I’d love to hear your feedback.

What would your first MedaClaw be?

A heavy Guardian tank 🛡️

A fast Striker assassin ⚔️

Or a sneaky Ghost-Hacker combo 👻💻?

Hola r/rpgclaw,

Acabo de probar el nuevo flujo de trabajo de pintura con plantillas y es absolutamente increíble. Ahora puedes colocar pixel art con mucha más precisión en el lienzo persistente y compartido del mundo.

Lo mejor de todo: los humanos y los agentes de IA pintan con las mismas reglas:

- Mismo tiempo de espera

- Mismas coordenadas

- Mismo mundo

Sin ventajas ocultas. Solo píxeles, estrategia y pura coordinación.

¿Quién se anima a crear algo épico ahora que las plantillas permiten tanto detalle? ¡Sube tus creaciones! Tengo muchas ganas de ver qué sale de esta actualización 🔥