Qwen 3.5 27B
General-purpose local workhorse · 16 GB
Fast, capable coding and reasoning on your own machine.
$ morningstar --model qwen3.5:27b-int436 features. 28 brand-new capabilities rivaling Claude Code.
DeepSeek, OpenAI, Anthropic, Google, NVIDIA, GitHub, Ollama and more — switch mid-session with /model
read, write, edit, delete, bash, grep, glob, ls, git, web, fetch, gh — with undo, diffs & permissions
Reusable prompt-based skills loaded from .md files — auto-trigger on keywords, stack with agents
Model Context Protocol — connect external tool servers, expose Morningstar as MCP server
auto, ask, strict, bypassPermissions, acceptEdits, plan, dontAsk, delegate — granular access control
4 effort levels (low → ultra) with provider-specific thinking params — Anthropic, OpenAI, DeepSeek, Google
Define agents as .md files with YAML frontmatter — custom tools, models, temperature per agent
Project rules from .md files with @import, path patterns, and priority — auto-injected into system prompt
14 hook events — preToolExecution, postFileWrite, preBash, sessionStart & more with JSON decision control
Orchestrate multiple agents with roles (lead, worker, reviewer) — shared task queue & sequential execution
API-level tool definitions — OpenAI tools format, Anthropic tool_use blocks, Google functionCall — no regex parsing
Actual token usage from provider APIs with reasoning tokens, cache hits — not estimates. Per-model cost breakdown
Live Claude Code-style checklist — ✔ completed, ◼ in-progress, ◻ pending — with duration, tokens, turn counter
Detects vitest, jest, pytest, cargo test, go test — runs relevant tests after file writes and feeds results back to AI
/delegate <agent> <task> — specialized agents execute autonomously with own conversation, tools, and turn limits
Independent tool calls execute concurrently — up to 10 agentic turns with auto-fix on errors
Real-time context window monitor — see token usage per segment (System, Chat, Code, Tools) with color-coded bar
Code morphing animation — old lines fade out in red, new lines type in green with typewriter effect
ASCII architecture visualization with /graph — scans imports, builds layered topology with box-drawing
OS-level sandboxing — macOS sandbox-exec, Linux firejail — restrict filesystem access to project directory
Discover, install & manage plugins — registerTool, registerAgent, registerSkill, registerHook API
Shiki-powered syntax highlighting with the vitesse-dark theme — same engine as VS Code
Persistent notes + input history across sessions, todo system with priorities, save & restore conversations
Cloud API blocked? Auto-fallback to local models. Local too weak? Upgrades to cloud. Seamless multi-tier routing
Create, list & restore checkpoints — pairs git state with conversation history for full rewind
Nano Banana Pro, Nano Banana Flash and RealVisXL local fallback — saves to ~/Downloads
Watches project files for external changes — auto-triggers tests, notifies AI of modified files with debouncing
Fork conversations at any point, create named branches, switch between them, merge insights back
Real-time diff preview as the AI generates edit operations — see changes character by character
/update check + /update run — pulls latest from GitHub, rebuilds, notifies of new versions
Browser-based dashboard at /dashboard — session stats, cost tracking, tool usage, conversation history
10 @-mention types with smart chunking — @files:glob, @diff:file, @tree — context budget management with auto-truncation
/pr-review — fetch, analyze, and review GitHub Pull Requests via gh CLI with structured severity ratings
Provider-aware prompt caching — Anthropic cache_control breakpoints, OpenAI prefix caching, Google context caching with stats
Split-pane layouts (default, split, triple, quad) with focus navigation, scrolling, and Unicode box-drawing borders
Default, Ocean, Hacker, Sunset, Nord, Rose, Claude — from bold colors to minimalist monochrome
--model deepseek-reasoner--model gpt-5.2--model claude-opus-5--model gemini-3.6-flash--model nvidia/deepseek-ai/deepseek-v4-pro--model github/openai/gpt-4.1--model qwen3.5:27b-int4--model hydra-ch-4b--model claude-cli--model groq/llama-3.3-70b-versatile--model openrouter/autoMorningstar discovers Ollama models dynamically. This is a snapshot of the development machine — weights are not bundled with the CLI or stored in Git.
General-purpose local workhorse · 16 GB
Fast, capable coding and reasoning on your own machine.
$ morningstar --model qwen3.5:27b-int4Morningstar identity layer · 16 GB
A local Ollama model wrapper for the CreativeSync control plane.
$ morningstar --model creativesync/hydra-ai:latestLong-context research model · 19 GB
A locally installed research model, selectable through Ollama.
$ morningstar --model hf.co/huihui-ai/Huihui-Qwythos-9B-Claude-Mythos-5-1M-abliterated-GGUF:BF16First-class support for every major language. Morningstar understands idioms, conventions, and best practices for each one.
The CLI speaks your language. Full UI translation including prompts, errors, and help text. RTL support included.
A CLI experience designed for power users. Every interaction is optimized for developer velocity.
Full autocomplete, syntax highlighting, and inline suggestions.
Watch AI responses stream in real-time with live formatting.
Review every change before it is applied with highlighted diffs.
Power-user shortcuts for maximum velocity.
4 effort levels with provider-specific thinking parameters.
Git-based checkpoints paired with conversation state.
Native Vim keybindings for the input editor.
Prefix with ! to execute shell commands directly.
Reusable .md-based skills and project rules with auto-trigger.
Connect external tool servers and install community plugins.
OS-level sandboxing restricts filesystem access.
Export conversations as markdown, copy last response.
Nano Banana Pro (Gemini 3) + local RealVisXL with auto-fallback.
Input history persists across sessions. Arrow keys to navigate.
Detects test runners and runs relevant tests after file changes.
Delegate tasks to specialized agents with own conversation context.
Live checklist tracking agentic loop turns, tokens, and duration.
API-level tool definitions instead of regex parsing.
Auto-detects directories, watches for external changes.
Fork, switch, and merge conversation branches.
Check for updates and pull latest from GitHub.
Browser-based session dashboard with live stats.
10 @-mention types with smart chunking and context budget.
Fetch, analyze, and review GitHub PRs with severity ratings.
Provider-aware caching with hit stats and cost savings.
Split-pane layouts with focus navigation and scrolling.
Your code is your most valuable asset. Morningstar treats it that way.
From strict approval to full bypass — auto, ask, strict, bypassPermissions, acceptEdits, plan, dontAsk, delegate.
macOS sandbox-exec and Linux firejail restrict filesystem access to your project directory only.
Session data is encrypted at rest. Conversation history never leaves your machine.
Run entirely offline with Ollama. Zero data transmitted to external servers.
Built-in prompt injection detection and sanitization for all AI interactions.
14 hook events with JSON decision control — pre/post validation on every tool execution.
Isolated allow/deny lists, tool restrictions, and command filters per project via .morningstar/settings.local.json.
Requires Node.js 22+
export DEEPSEEK_API_KEY=sk-...OPENAI_API_KEY=sk-proj-...First launch prompts you