OpenJet v0.4: Zero-Config Local Coding Agent with llama.cpp Backend
OpenJet v0.4 is now available — an open-source terminal coding agent that runs local LLMs via llama.cpp with zero manual configuration. It gives you a Claude Code-style workflow without any API keys, running entirely on your own hardware.
What It Does
- Auto-detects your hardware (RTX, Mac, Jetson, CPU-only, etc.) and configures the llama.cpp backend accordingly.
- Reads files, searches your repository, edits code, and runs shell commands.
- Asks for permission before executing shell or write actions.
- Stores persistent memory across sessions, both per-project and system-wide.
Installation
curl -fsSL https://www.openjet.dev/install.sh | bash
openjet setup
openjetNew in v0.4
- Full new user interface (TUI).
- Improved model support for smaller GPUs.
- Multi-step coding agent capabilities.
Who It's For
Developers who want a local, private coding agent without the hassle of manually configuring models, backends, or permissions.
📖 Read the full source: r/LocalLLaMA
👀 See Also
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Skillware adds synthetic data generator with entropy scoring for local model fine-tuning
Skillware has released a new synthetic data generator skill that uses zlib compression-ratio heuristics to score output diversity, helping prevent model collapse. The tool works out-of-the-box with Ollama, supports Gemini/Anthropic for high-reasoning batches, and outputs JSON batches for .jsonl fine-tuning pipelines.
Supra-50M-Reasoning: Open-Source Tiny Model with Chain-of-Thought Thinking
SupraLabs releases Supra-50M-Reasoning, a 50M parameter model fine-tuned to produce full chain-of-thought before answers. Hand-written 500-sample dataset, fully open source.