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ArchonIDE Logo

ArchonIDE

The IDE where you don't just use AI agents — you command them.

From the Greek ἄρχων (arkhon) — ruler, commander, one who leads the way.
Sharing a root with architect (arkhi + tekton: "master builder"),
Archon puts you in command of your AI agents — their strategies, their tools, their decisions.

FeaturesArchitectureGetting StartedProject StructureDevelopmentTech StackRoadmap


In ancient Athens, the Archon was the chief magistrate — the one who directed how the city operated, not the one who did every job themselves. ArchonIDE applies the same principle to AI-assisted development: you design the strategy, the agents execute it.

ArchonIDE is an AI agent-first IDE with a visual agentic flow designer. Built as a Tauri v2 desktop application with a React frontend and the Claude Agent SDK, it transforms AI-assisted coding from opaque and one-size-fits-all into transparent, composable, and deeply customizable.

Current AI-powered IDEs operate as black boxes with fixed agent loops. ArchonIDE changes that by giving developers a visual canvas to design and command the exact agent workflows that power their coding — different flows for bug fixes, greenfield features, code reviews, and refactors. Every decision the AI makes is visible, editable, and shareable. You are the Archon.

ArchonIDE Flow Designer — a PR Review flow with ADO integration, human review gates, and multi-model routing
The Flow Designer: a PR Review workflow with Azure DevOps integration, human review gates, and multi-model LLM routing.


Features

Visual Agentic Flow Designer

A full-featured node graph editor (powered by React Flow) where developers design agent workflows by wiring together specialized nodes. Flows are the core abstraction — they define how AI agents process tasks, what tools they can use, when to involve a human, and how to route between different models.

16 node types across 6 categories:

Category Nodes Purpose
AI LLM, Intent, Evaluator Model invocation, intent classification, quality gates
Execution Tool, Transformer Deterministic tool runs, data transformation
Control Flow Router, Parallel, Join, Human Review, Sub-flow Branching, concurrency, human-in-the-loop, composition
Context Memory, Handoff, Project Context State management, context curation, file loading
Structure Start, End Flow entry and exit points
Integration ADO PR Read, ADO PR Write, Webhook Trigger, Webhook Response External service integration, webhook handling

Every node type has a dedicated configuration panel — model selection, system prompts, tool assignments, edge signal routing, and more. Flows serialize to SQLite and can be exported as JSON for sharing.

AI Chat Interface

A polished, developer-centric chat panel with:

  • Streaming responses — character-by-character text delivery with live syntax highlighting in code blocks
  • Tool call cards — collapsible cards for every tool invocation (Read, Write, Edit, Bash, Glob, Grep, WebSearch, WebFetch) with smart summaries, inline diffs, and ANSI-rendered terminal output
  • Three density modes — Minimal, Normal, and Verbose, toggled via Ctrl+1/2/3
  • Thinking indicators — visible reasoning blocks when extended thinking is enabled
  • Professional icon system — Lucide icons with distinct accent colors per tool type (no emojis)
  • Multi-provider support — Anthropic API (Claude Agent SDK), OpenRouter, and Claude Code CLI as AI providers
  • Context menu — copy, retry, and message management

Flow Execution Engine

Flows are executable — the visual graph translates directly into agent orchestration:

  • Node-by-node execution with real-time status updates over WebSocket
  • Conditional routing via Router and Intent nodes with typed edge signals (success/fail/score)
  • Parallel execution with fork/join semantics
  • Human Review gates that pause execution and present a modal for approval
  • Sub-flow embedding for composable, reusable workflows
  • Per-node working directory and tool preset configuration (no tools / read-only / full access)
  • Live animated flow visualization — nodes pulse during execution, results appear on completion

Context Agent Architecture

An orchestration layer (configurable per flow) that serves as the brain of each workflow:

  • Intent classification — categorizes user messages (feature, bug fix, question, approval)
  • Complexity-based model routing — Opus for complex tasks, Sonnet for medium, Haiku for simple
  • Curated briefing generation — creates focused context packages for downstream agents, achieving up to 73% token reduction vs. raw history
  • Structured state tracking — maintains a JSON state object with task status, file summaries, decisions, and errors
  • Cross-session memory — persists session state for contextual continuity across conversations
  • Direct execution — handles simple tasks directly instead of routing to more expensive models

Context Management View

A dedicated debugging dashboard (4th tab in the execution panel) providing full transparency into context window state:

  • Token usage visualization — progress bar showing context window fullness percentage
  • Composition chart — color-coded breakdown of where tokens are consumed (system prompt, briefing, tools, conversation, files)
  • Briefing diff view — shows what the Context Agent included vs. excluded, with compression ratios
  • Budget warnings — yellow at 75%, red at 90% context utilization
  • Per-node drill-down — structured breakdown or raw message inspection for each LLM invocation

Gateway & Tunnel System

Extends ArchonIDE into a reachable endpoint so external systems can trigger flows:

  • Pluggable tunnel providers — ngrok (official SDK), Cloudflare (cloudflared), or custom commands
  • Webhook system — URL-based routing (/webhooks/<flowId>/<token>) where any system that can POST JSON (Azure DevOps, GitHub, Jenkins, etc.) can trigger a flow
  • Webhook response builder — flows can construct and return structured JSON responses to callers
  • Fastify HTTP gateway bound to 127.0.0.1:9400 with bearer token authentication and rate limiting
  • Channel adapters (planned) — Telegram (Telegraf) and Discord (discord.js) bot integration
  • Gateway dashboard — dedicated sidebar tab with tunnel status, webhook management, connection logs, and a built-in testing playground
  • System tray mode — minimize to tray so the gateway stays alive in the background

AI-Powered Flow Creation

The AI can create, read, update, and delete flows through natural language:

  • Five custom MCP tools (create_flow, get_flow, list_flows, update_flow, delete_flow) exposed to the Claude Agent SDK
  • Full schema validation via Zod — the AI knows all 16 node types and their configurations
  • Patch-style updates for efficient modification (add/remove/update nodes and edges)
  • Auto-layout via dagre for clean graph positioning
  • Version history with undo support (last 50 snapshots per flow)
  • Preview rendered inline in the chat panel using the FlowExecutionDiagram component

Git Management

Integrated source control panel:

  • Stage/unstage individual files or all changes
  • Commit with user-written or AI-generated messages
  • Push, pull, branch switching, and branch creation
  • Real-time file system watching with smart debounce (chokidar + simple-git)
  • Diff viewing in the CodeViewer
  • Status bar integration showing branch, ahead/behind count, and dirty file count
  • Right-click git actions in the File Tree

Azure DevOps Integration

Two dedicated flow nodes for AI-powered PR code reviews:

  • ADO PR Read — fetches comprehensive PR data (diffs, metadata, comments, work items, build status, reviewers, iterations) from Azure DevOps
  • ADO PR Write — posts inline code comments, summary reviews, and vote status back to PRs
  • Node schema system — downstream nodes declare input schemas (via Zod) that are auto-injected into upstream LLM prompts, ensuring correctly structured output
  • Incremental iteration tracking for re-review workflows
  • Human approval safety gate before posting comments

Project Context System

Three layers for giving AI agents access to project files:

  1. Agent Tool Access — working directory and tool presets passed to every SDK query
  2. Project Context Node — file picker + glob patterns with token budget and .gitignore-aware filtering, injected into LLM system prompts
  3. Auto-Context — CLAUDE.md auto-detection, configurable default project overview

Community Flow Registry

A GitHub-based registry for sharing and discovering custom agent flows:

  • Browse, search, and install flows from the Registry sidebar tab
  • One-click publishing with automatic pull request creation
  • Flow metadata with tags, descriptions, and tech stack labels
  • Hosted at a separate community-repo with standardized flow.json format

Additional Features

  • File Tree Panel — directory browser with open-folder dialog and file selection
  • Code Viewer — syntax-highlighted read-only viewer with diff display mode
  • Dockable Layout — draggable, resizable panels via dockview-react with layout persistence
  • Custom Titlebar — frameless window with integrated navigation and window controls
  • Dark Theme — professional dark UI throughout
  • Settings Panel — API key management (Anthropic, OpenRouter, Azure DevOps), model selection, provider configuration
  • BYOK (Bring Your Own Key) — API keys stored securely via tauri-plugin-store
  • Sidecar Health Monitoring — connection status indicator with auto-reconnect

Architecture

+------------------+       WebSocket (localhost:9399)  +------------------------+
|   Tauri v2 App   |  <----------------------------->  |   Node.js Sidecar      |
|                  |                                    |                        |
|  [React Frontend]|   JSON messages:                   |  [Agent Manager]       |
|  - Flow Designer |   - start/stop agent               |  - Concurrent agents   |
|  - Chat Panel    |   - streamed agent output           |    via async/await     |
|  - Code Viewer   |   - flow execution events           |  - Claude Agent SDK    |
|  - Gateway Panel |   - permission requests             |  - OpenRouter / CLI    |
|  - Git Panel     |   - tool results                    |  - Built-in tools      |
|  - Registry      |   - gateway events                  |  - MCP servers         |
|                  |                                    |  - Flow engine         |
|  [Rust Backend]  |                                    |  [Gateway]             |
|  - System tray   |   HTTP (localhost:9400)             |  - Fastify server      |
|  - SQLite (DB)   |  <----------------------------->   |  - Tunnel manager      |
|  - FS permissions|   Webhook endpoints                 |  - Channel adapters    |
|  - Plugin system |                                    |  - Git manager         |
+------------------+                                    +------------------------+

Three-Tier Model

  1. Tauri v2 Desktop Shell (app/src-tauri/) — Lightweight Rust backend (~10MB binary vs Electron's ~150MB). Manages the native window, system tray with close-to-tray behavior, SQLite database, file system permissions, and secure credential storage. Plugins: shell, store, dialog, fs, sql.

  2. React Frontend (app/src/) — Full-featured UI built with React 19, TypeScript 5, and Vite 6. Communicates with the sidecar over WebSocket. Key subsystems: flow designer (React Flow), chat panel, gateway dashboard, git panel, settings, file tree, code viewer, context view, and community registry.

  3. Node.js Sidecar (sidecar/src/) — The agent runtime and backend logic layer. Runs as a standalone WebSocket server on port 9399 (plus Fastify HTTP gateway on 9400). Handles all AI interactions via the Claude Agent SDK, flow execution, gateway/tunnel management, git operations, and MCP server orchestration. Hot-reloads via tsx watch.

Why This Architecture

  • Tauri v2 for native performance with a ~10MB binary footprint
  • Single Node.js process handles 5-10 concurrent agent workflows via async/await (agent work is I/O-bound)
  • WebSocket IPC enables bidirectional streaming for real-time agent output and debugging
  • Same-process flow execution in the sidecar means zero IPC overhead for gateway-triggered flows
  • Per-agent directory isolation via Git worktrees prevents file conflicts during parallel editing

Getting Started

Prerequisites

  • Node.js 22.x LTS
  • Rust toolchain (latest stable, for Tauri compilation)
  • Git (system installation)
  • Anthropic API key (get one at console.anthropic.com)

Installation

# Clone the repository
git clone https://github.com/newtro/ArchonIDE.git
cd ArchonIDE

# Install dependencies (both app and sidecar)
cd app && npm install && cd ..
cd sidecar && npm install && cd ..

Running in Development

The simplest way to start everything:

# PowerShell (Windows)
.\start.ps1

This script:

  1. Kills any existing processes on ports 9399 (sidecar) and 1420 (Vite)
  2. Installs dependencies if node_modules is missing
  3. Starts the sidecar with npx tsx watch src/index.ts (hot-reloading)
  4. Starts Tauri dev mode with npx tauri dev (Vite HMR + Rust compilation)

Or start each component manually:

# Terminal 1: Start the sidecar
cd sidecar && npx tsx watch src/index.ts

# Terminal 2: Start the Tauri app (Vite + Rust)
cd app && npx tauri dev

First-Time Setup

  1. Launch the app — the sidecar WebSocket connects automatically
  2. Open Settings (gear icon in the sidebar)
  3. Enter your Anthropic API key (stored securely via OS credential storage)
  4. Open a project folder via the File Tree panel
  5. Start chatting or design a flow in the Flow Designer

Project Structure

ArchonIDE/
|-- app/                          # Tauri v2 desktop application
|   |-- src/                      # React frontend source
|   |   |-- App.tsx               # Root component with sidebar navigation
|   |   |-- main.tsx              # React entry point
|   |   |-- components/
|   |   |   |-- chat/             # Chat panel, messages, tool cards, input
|   |   |   |-- files/            # File tree browser, code viewer
|   |   |   |-- flow/             # Flow designer, canvas, execution panel
|   |   |   |   |-- config/       # 24 node configuration panels
|   |   |   |   |-- nodes/        # BaseNode visual component
|   |   |   |-- gateway/          # Gateway dashboard, tunnel status, webhooks
|   |   |   |-- git/              # Git management panel
|   |   |   |-- layout/           # Titlebar, sidebar, status bar, dockview
|   |   |   |-- logs/             # Debug log viewer
|   |   |   |-- registry/         # Community flow registry browser
|   |   |   |-- settings/         # API keys, model config, provider setup
|   |   |   |-- startup/          # Welcome/loading screen
|   |   |   |-- ui/               # Shared UI primitives
|   |   |-- contexts/             # React contexts (AppState, Density, Dockview, Workspace)
|   |   |-- hooks/                # Custom hooks (WebSocket, flow execution, health, context view)
|   |   |-- lib/                  # Utilities and types
|   |   |   |-- flow-types.ts     # All node/edge/flow type definitions (22KB)
|   |   |   |-- flow-storage.ts   # SQLite CRUD for flows
|   |   |   |-- types.ts          # WebSocket message types, app-wide interfaces
|   |   |   |-- chat-storage.ts   # Chat session persistence
|   |   |   |-- github-api.ts     # GitHub API for community registry
|   |   |   |-- flow-layout.ts    # Dagre auto-layout
|   |   |   |-- default-flows.ts  # Seed flow definitions
|   |   |-- styles/               # Global CSS
|   |-- src-tauri/                # Rust backend
|   |   |-- src/
|   |   |   |-- lib.rs            # Tauri setup: plugins, tray, commands
|   |   |   |-- main.rs           # Entry point
|   |   |-- Cargo.toml            # Rust dependencies
|   |   |-- tauri.conf.json       # App config (window, CSP, plugins)
|   |   |-- icons/                # App icons
|   |-- package.json              # Frontend dependencies
|
|-- sidecar/                      # Node.js agent runtime
|   |-- src/
|   |   |-- index.ts              # WebSocket server entry (port 9399)
|   |   |-- agent.ts              # Claude Agent SDK integration (58KB)
|   |   |-- flow-engine.ts        # Flow execution engine (74KB)
|   |   |-- flow-tools.ts         # MCP tools for AI flow CRUD
|   |   |-- flow-types.ts         # Sidecar flow type definitions
|   |   |-- context-agent.ts      # Context Agent orchestrator
|   |   |-- context-loader.ts     # File reading, glob matching, token counting
|   |   |-- context-state.ts      # Structured state tracking
|   |   |-- session-store.ts      # Cross-session memory persistence
|   |   |-- token-counter.ts      # Token estimation utilities
|   |   |-- tool-executor.ts      # Tool execution handlers
|   |   |-- mcp-manager.ts        # MCP server lifecycle management
|   |   |-- git-manager.ts        # Git operations (simple-git + chokidar)
|   |   |-- ado-client.ts         # Azure DevOps API client
|   |   |-- claude-code-runner.ts # Claude Code CLI provider
|   |   |-- openrouter-runner.ts  # OpenRouter API provider
|   |   |-- worktree-manager.ts   # Git worktree isolation for parallel agents
|   |   |-- gateway/
|   |   |   |-- gateway-manager.ts   # Gateway lifecycle, flow cache, WS broadcast
|   |   |   |-- http-gateway.ts      # Fastify server, webhook routing
|   |   |   |-- types.ts             # Gateway type definitions
|   |   |   |-- tunnel/              # Tunnel provider implementations
|   |   |   |-- channels/            # Channel adapter implementations
|   |-- package.json              # Sidecar dependencies
|
|-- docs/                         # Design documents and plans
|   |-- archon-ide-plan.md        # Master implementation plan (source of truth)
|   |-- gateway-tunnel-plan.md    # Gateway & tunnel system spec
|   |-- project-context-plan.md   # Project context system spec
|   |-- ai-flow-creation-plan.md  # AI flow CRUD tools spec
|   |-- context-view-plan.md      # Context management view spec
|   |-- git-management-plan.md    # Git panel spec
|   |-- ado-pr-review-nodes-plan.md  # Azure DevOps integration spec
|   |-- Sample Agentic loop.md    # Context Agent example walkthrough
|
|-- community-repo/               # Community flow registry (Git submodule)
|   |-- flows/                    # Contributed flow definitions
|   |-- schema/                   # Flow JSON schema
|   |-- README.md
|
|-- start.ps1                     # Development startup script (PowerShell)
|-- start.bat                     # Development startup script (CMD wrapper)
|-- ArchonLogo.png                # Project logo
|-- ArchonIDE.code-workspace      # VS Code workspace file

Development

Build Commands

# Frontend type checking
cd app && npx tsc --noEmit

# Frontend production build
cd app && npx vite build

# Sidecar type checking
cd sidecar && npx tsc --noEmit

# Rust compilation check
cd app/src-tauri && cargo check

# Full Tauri build (production binary)
cd app && npx tauri build

Hot Reloading

Both the frontend and sidecar support hot reloading during development:

  • Frontend: Vite HMR — changes to React components apply instantly
  • Sidecar: tsx watch — TypeScript source is executed directly (no compilation step), restarts on file changes

There is no need to manually compile the sidecar during development. The tsx watch process monitors sidecar/src/ and reloads automatically.

WebSocket Protocol

The frontend and sidecar communicate over a bidirectional WebSocket connection on port 9399. Messages are JSON-encoded with a type field for routing.

Key message categories:

Category Examples Direction
Chat chat, chat_response, chat_stream_* Both
Flow execution execute_flow, flow_node_*, flow_complete Both
Flow CRUD (AI) flow_tool_create, flow_tool_response Both
Gateway gateway (wraps actions), gateway_event Both
Git git_status, git_commit, git_status_update Both
Settings update_settings, settings_response Both
Project set_project_root, open_file Frontend -> Sidecar
Agent events agent_event, human_review_* Sidecar -> Frontend

Database

SQLite via tauri-plugin-sql, accessed from the frontend. Schema initialized on first run with a seed "General Coding Assistant" flow.

Tables: flows, flow_nodes, flow_edges, flow_versions, chat_sessions, chat_messages


Tech Stack

Frontend (app/)

Technology Version Purpose
React 19.x UI framework
TypeScript 5.7 Type safety
Vite 6.x Build tool and dev server
@xyflow/react 12.10.0 Visual node graph editor (flow designer)
dockview-react 4.13.1 Dockable, resizable panel layout
lucide-react 0.469.0 Professional icon library
react-markdown 10.1.0 Markdown rendering in chat
remark-gfm 4.0.1 GitHub-Flavored Markdown support
qrcode.react 4.2.0 QR code generation (bot setup)
@dagrejs/dagre 2.0.4 Automatic graph layout for flows
@tauri-apps/api 2.2.0 Tauri IPC bridge
@tauri-apps/plugin-sql 2.3.2 SQLite access
@tauri-apps/plugin-store 2.4.2 Secure key-value storage
@tauri-apps/plugin-dialog 2.6.0 Native file/folder dialogs
@tauri-apps/plugin-fs 2.4.5 File system access
@tauri-apps/plugin-shell 2.2.0 Process management

Sidecar (sidecar/)

Technology Version Purpose
@anthropic-ai/claude-agent-sdk 0.2.39 Agent orchestration, tool execution, LLM interaction
@anthropic-ai/sdk 0.74.0 Anthropic API client
openai 4.104.0 OpenRouter API compatibility layer
ws 8.18.0 WebSocket server
fastify 5.7.4 HTTP gateway server
@ngrok/ngrok 1.7.0 Tunnel provider (programmatic SDK)
cloudflared 0.7.1 Cloudflare tunnel provider
simple-git 3.30.0 Git CLI wrapper
chokidar 5.0.0 File system watcher
azure-devops-node-api 15.1.2 Azure DevOps REST API client
discord.js 14.25.1 Discord bot (channel adapter)
telegraf 4.16.3 Telegram bot (channel adapter)
zod 4.3.6 Schema validation (flow tools, node schemas)
glob 11.1.0 File pattern matching
tsx 4.19.0 TypeScript execution (dev)

Rust Backend (app/src-tauri/)

Technology Version Purpose
Tauri 2.x Desktop app framework
tauri-plugin-shell 2.x Sidecar process management
tauri-plugin-store 2.4.2 Encrypted credential storage
tauri-plugin-dialog 2.6.0 Native dialogs
tauri-plugin-fs 2.4.5 File system access with scoping
tauri-plugin-sql 2.3.2 SQLite with migrations
serde / serde_json 1.x Serialization

Node Type Reference

AI Nodes

Node Description Key Config
LLM Invoke an LLM with autonomous tool access. The core execution node. Model (Haiku/Sonnet/Opus), system prompt, temperature, max tokens, tool preset, working directory, enable thinking
Intent Classify user intent to route execution paths. Intent categories (custom labels), classification prompt
Evaluator Quality gate — score and validate output against criteria. Evaluation criteria, pass/fail thresholds, scoring rubric

Execution Nodes

Node Description Key Config
Tool Execute a deterministic tool (run tests, lint, deploy). Mandatory quality gate between LLM nodes. Tool command, working directory, timeout
Transformer Transform data without an LLM call (format conversion, template rendering). Transform type, template, extraction rules

Control Flow Nodes

Node Description Key Config
Router Route execution based on rules or LLM classification. Routing conditions per output, default route
Parallel Fork into concurrent branches. All branches execute simultaneously. Branch definitions
Join Merge results from parallel branches. Merge strategy
Human Review Pause execution for human approval or input. Review prompt, approval options
Sub-flow Embed another flow as a nested step. Referenced flow ID

Context Nodes

Node Description Key Config
Memory Read/write to structured state or vector store. Memory keys, read/write mode
Handoff Transfer curated context between LLM nodes. Briefing template, included/excluded fields
Project Context Load project files into agent context. File picker, glob patterns, token budget, .gitignore filtering, output format

Structure Nodes

Node Description Key Config
Start Flow entry point. Receives user input. Input schema
End Flow exit point. Returns final result. Output format

Integration Nodes

Node Description Key Config
ADO PR Read Fetch PR data from Azure DevOps. Project, repository, iteration tracking
ADO PR Write Post review comments and votes to Azure DevOps PRs. Human approval gate, vote setting, inline comments, thread status
Webhook Trigger Flow entry point for webhook-initiated execution. Endpoint path, authentication token
Webhook Response Construct HTTP response for webhook callers. Status code, headers, response body template

Roadmap

Completed

  • Phase 1: Foundation — Tauri scaffold, WebSocket IPC, chat interface, BYOK API keys, file tree, code viewer
  • Phase 2: Flow Designer — React Flow canvas, all node types, SQLite persistence, node configuration panels, edge signals, default flows
  • Phase 3A: Gateway Foundation — Fastify gateway, tunnel providers, webhook system, gateway sidebar tab, flow execution wiring

In Progress

  • Phase 3: Flow Execution Engine — Full flow runtime, Context Agent implementation, parallel execution, sub-flow embedding, animated flow visualization

Planned

  • Phase 3B: Channel Adapters — Telegram and Discord bot integration, message bus, slash commands
  • Phase 3C: Advanced Gateway — Cloudflare tunnel, custom tunnel commands, webhook testing playground, system tray persistence
  • Phase 4: Polish & Quality — Dynamic workspace presets, log stream panel, MCP server discovery, cross-session memory, Git worktree isolation, error recovery, flow import/export
  • Phase 5: Community — Community Flow Registry public launch, browse/install/publish flows, ratings and categories

Design Philosophy

  1. No black boxes — Every agent decision is visible. The Context View shows token usage, briefing diffs, routing decisions. The animated flow view shows real-time execution progress.

  2. Composable by default — Flows are the universal abstraction. A bug fix flow is different from a feature flow is different from a code review flow. Build once, reuse and share.

  3. Developer-centric UI — Professional design with Lucide icons (no emojis). Tool calls show file paths, line counts, execution times, and token costs. Three density modes let developers choose their information level.

  4. BYOK-first — Your API keys, your data, your machine. No proxy servers, no middlemen. All API calls go directly to providers.

  5. Desktop-native — Tauri v2 delivers a ~10MB binary with native OS integration (system tray, file dialogs, keychain). Not a web app in a browser tab.


License

TBD


Built with Tauri, React, and the Claude Agent SDK

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