Built for local. Inspired by the best.
An open-source agentic coding layer designed for the constraints of on-device inference. Inspired by Claude Code and OpenClaw — optimized for 7B–27B parameter models running locally.
System awareness
Always knows how much headroom you have.
RAM usage, swap, and memory pressure update live in the status bar every 3 seconds. Run /ram to see a full breakdown of top processes, or /fit to check whether the loaded model fits comfortably in your available RAM.
- Live RAM + swap in the status bar
- Pressure indicator: normal / tight / high
- /ram shows top processes by memory
- /fit shows model size vs available RAM
Tools & permissions
Every action is visible. Nothing runs silently.
Tool calls appear in the transcript as they happen. The permission system gives each action an explicit policy — allow it always, require confirmation, or deny it entirely.
Read, write, and edit files
Run shell commands
Status, diff, log
Fetch URLs for context
Permission policy
Capabilities
What llanite-agent brings to the table.
Live system awareness
RAM usage, swap, and pressure update every 3 seconds in the status bar. The model fit panel shows whether your model is comfortable, tight, or overloaded before and during a session.
Optimized for smaller models
Prompt strategies, context management, and planning mode are all tuned for 7B–27B parameter models. Gets more done per token than agents built for unlimited cloud context.
Explicit permission system
Every action is declared upfront — allow, confirm, or deny for file writes, shell, network, and secrets. Nothing runs without you knowing about it.
Full tool suite
Filesystem read/write, shell execution, git, and web fetch built in. All tool calls are visible in the transcript with their output previews.
Session control
Slash commands for everything.
Inspect RAM, toggle system stats, check context usage, review permissions, and control planning mode — all without leaving the prompt.
Get started in one command.
Install a stack and llanite-agent comes with it.