penguinOS

the AI-native linux operating system

CPU23% 3.2 GHz
RAM47% 14.9 / 31.7 GB
NET↓ 1.24 Gbps ↑ 287 Mbps
PROCESSES312
CONTAINERS12 8 running
UPDATES3 security
KERNEL6.8.9-penguin
SECURE TPM 2.0
10:42:31 UTC
SAT 17 MAY 2026
System Overview
Core65%
Services17%
Utils9%
Dependency Graph
Filesystem as Habitat
Git History as Currentmain
2,341commits
128contributors
3 PRs open
Penguin AI Core
Modelpengui-7b
Context128K
Temp0.2
ACTIVE
Reasoning...
Hardware
Intel Core i9-13900K
32 cores / 64 threads
NVIDIA RTX 4090
Driver: 550.54.14
Uptime: 7h 42m
Terminalaurora@workstation:~
.--. |o_o | |:_/ | // \ \ (| | ) /'\_ _/`\ \___)=(___/
aurora@workstation
OS: penguinOS Aurora x86_64
Host: Aurora Workstation
Kernel: 6.8.9-penguin
Uptime: 7 hours, 42 mins
Packages: 3144 (pacman)
Shell: zsh 5.9
DE: penguin-shell
WM: Iceberg
aurora@workstation ~ $ __
Live Network
↓ 1.2 GB/s ↑ 287 MB/s
NotificationsClear All
Security update available
linux-firmware 20240514
2m ago
Build finished successfully
project: penguin-builder
12m ago
Backup completed
/home/aurora -> coldstore
1h ago
planner.rs
models.rs
executor.rs
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pub async fn plan_action( &self, input: ActionInput, ) -> Result<Plan, PlannerError> { // 1. Build context let context = self.build_context(&input).await?; // 2. Query AI model for plan let plan = self.model .generate_plan(&context) .await .map_err(PlannerError::Model)?; // 3. Validate & score let scored = self.score_plan(&plan, &context).await?; // 4. Return best plan Ok(scored.best_plan) } async fn build_context(&self, input: &ActionInput) -> Result<Context> { let mut ctx = Context::new(); ctx.push_workspace_state(&self.ws).await?; ctx.push_recent_history(50).await?; Ok(ctx) }
Git Blame
a1b2c3d4L. Ortega
d4e5f6a7M. Iqbal
f0a1d2c3You
b7c8d9e0S. Chen
a1b2c3d4L. Ortega
Problems 2
Terminal
Output
Debug Console
E0308 mismatched types
planner.rs:131:17
W01 unused variable `ctx`
planner.rs:142:9
Package Manager
Updates (3)Size
linux-firmware 320.4 MB
pgpool2 12.1 MB
firefox 72.4 MB
Test Results
87%
Passed1,248
Failed186
Skipped12
Penguin AI Workspace
Context
Actions
Memory
Current Task
Refactor score_plan for parallel evaluation
Active Context3 files
planner.rs
models.rs
Add
Suggested Actions
Implement tokio::join! in scoring
Generate unit tests for edge cases
Profiler (CPU)
Record
score_plan46.7%
build_context12.3%
evaluate_node9.1%
hash_state6.4%
Storage Map
/ (nvme0n1p2)482 / 1,024 GB
/home (nvme0n1p3)812 / 2,048 GB
/data (nvme1n1p1)3.2 / 4.0 TB
Background Tasks
Indexing codebase42%
Cargo build (planner)Running
AI Model SyncDone
AI Reasoning TraceLive
Analyzing `score_plan` for parallelization opportunities...
Detected independent scoring heuristics inside loop (lines 130-145).
Constructing AST modifications to inject `tokio::task::spawn`.
Evaluating borrow checker constraints on `context` variable.
Warning: `context` is shared. Requires `Arc`.
Generating final code patch...
Active Services
penguin-ai-core
1.2GB
postgres-db
450MB
redis-cache
64MB
builder-worker
CPU 98%
WORKSPACE TIME-TRAVEL
Commits
Edits
AI Actions
10:42
08:0009:0010:0011:00