Terminal UI for Agentic AI!
Project description
agent-terminal-ui
Terminal user interface for AI agents built on agent-utilities.
A Textual-based terminal interface for interacting with AI agents. Connects to an agent-utilities backend via dual protocol support: AG-UI (SSE streaming) and ACP (JSON-RPC + SSE).
[!NOTE] This library is in early development and subject to change.
Documentation — Architecture, configuration, durable session management, and the autonomous goal and multi-session workflows are maintained in the official documentation.
Features
Core Functionality
- Dual protocol support -- AG-UI (SSE streaming, default) and ACP (JSON-RPC + SSE, opt-in)
- Dynamic workflow sidebar -- discovers graph nodes from sideband events at runtime; nodes are never hardcoded
- Phase labels -- Planning, Discovery, Execution, Validation
- Completed node markers -- checkmarks on finished specialists
- Rich tool execution display -- extensible formatter system for rendering tool calls and results
- Human-in-the-loop tool approval -- modal for confirming sensitive tool calls before execution
- Multi-modal image attachment -- attach images to messages for visual reasoning
- Session management and chat history -- browse and resume previous conversations
- MCP server browser -- inspect connected MCP servers and their tools
Session Persistence & Crash Recovery (TUI-1)
- SQLite-backed sessions -- durable session storage at
~/.config/agent-terminal-ui/agent_terminal_ui.db - Pre-turn checkpointing -- automatic checkpoints before each turn for crash recovery
- Session fork/resume -- fork sessions at any turn number with
fork_session() - Offline queue -- messages queued during disconnection survive process restarts
- Session archive -- archive, search, and filter sessions by status
Workspace Snapshots & Rollback (TUI-2)
- Side-git snapshots -- pre/post-turn workspace snapshots without touching your
.git - Snapshot restore --
/restore Nto roll back workspace to any previous turn - Diff viewer -- view changes between snapshot points
- Auto-pruning -- snapshots older than configurable max age are cleaned up
Reasoning Effort Tiers & Auto Routing (TUI-3)
- Three-tier reasoning -- OFF / HIGH / MAX with
Shift+Tabcycling - Auto model routing -- lightweight heuristic selects optimal model and thinking level per turn
- Mode-aware defaults -- plan/code modes default to higher reasoning
Context Compaction Engine (TUI-4)
- Multi-tier compaction -- L1 (summarize tools), L2 (summarize old turns), L3 (drop old), Cycle (hard reset)
- Configurable thresholds -- token-based triggers at 192k/384k/576k/768k
- Auto-compact toggle -- automatic compaction when context window pressure is detected
- Manual
/compact-- force compaction at any tier
Durable Task Queue (TUI-5)
- SQLite-backed tasks -- background tasks survive process restarts
- Bounded concurrency -- configurable maximum concurrent tasks
- Timeline events -- full event log per task (created, started, progress, completed/failed)
- Checklist tracking -- structured checklist state per task
- Crash recovery -- interrupted tasks are automatically marked as failed on restart
Lifecycle Hooks (TUI-6)
- TOML-configured hooks -- shell commands triggered on lifecycle events
- Supported events --
session_start,session_end,message_submit,tool_call_before/after,mode_change,on_error,shell_env - Timeout protection -- hooks are killed after configurable timeout
- Conditional triggers -- hooks can fire only for specific tool categories or modes
- Shell env injection --
shell_envhooks inject environment variables into tool execution
Desktop Notifications (TUI-7)
- OSC 9 / BEL notifications -- terminal-native notifications on long-running turn completion
- Auto-detection -- detects iTerm2, Ghostty, WezTerm, Kitty, and falls back to BEL
- Configurable threshold -- only fires when turn exceeds N seconds (default: 30s)
Workspace Boundary & Trust Mode (TUI-8)
- Three sandbox modes --
read-only,workspace-write(default),danger-full-access - Trust mode -- bypass approval for non-destructive reads outside workspace
- Explicit allow/deny lists -- fine-grained path-level control
- Violation tracking -- all policy violations are logged
Draft Stash System (TUI-9)
- Multi-entry stash --
Ctrl+Sto stash,/stash listand/stash popto manage - Buffer management --
Ctrl+Uclear +Ctrl+Yrestore for single buffer
Enhanced Cost Tracking (TUI-10)
- Per-turn breakdown -- input/output/cached/reasoning token counts with cost
- Cache hit rate -- per-turn and session-level cache utilization metrics
- Pricing registry -- configurable per-model pricing (built-in for GPT-4o, Claude, DeepSeek)
- Session aggregation -- total cost, tokens, and by-model grouping
- Status line display -- compact token/cost indicator
Approval Policy Engine (TUI-11)
- Three policies --
on-request(ask per command),auto(YOLO),never(block all) - Auto-allow prefixes -- commands matching configured prefixes bypass approval
- Mode-aware strictness -- plan mode requires approval for unknown commands
- Integration -- extends existing
danger.py4-level classification
Job Center (TUI-12)
- Shell job registry -- tracks all shell commands with status, output, and timing
- Output tailing -- last 50 lines of output per job
- Linked tasks -- jobs can reference durable task IDs
- Job lifecycle -- running -> completed/failed/cancelled with cleanup
Agent View - Multi-Session Dashboard (TUI-20)
- Session dashboard -- at-a-glance view of all concurrent agent sessions with status indicators
- Peek panel -- preview the last response of any session without switching context
- Inline reply -- respond to waiting sessions directly from the dashboard
- Background sessions -- send any session to the background with
/bg - Session types -- distinguishes Chat and Goal sessions with visual indicators
- Auto-refresh -- session statuses update every 2 seconds
Background Agent Runner (TUI-21)
- Async workers -- up to 10 concurrent background agent sessions
- State persistence -- session state survives TUI restarts via TaskManager
- Crash recovery -- interrupted sessions are marked as failed on restart
Autonomous Goal Loop (ORCH-5.0)
/goalcommand -- define an objective and let the agent work autonomously- Natural language parsing -- supports
until <end_state>andwithout <constraints>patterns - KG-native goals -- goals are persisted as GoalNode entities in the Knowledge Graph
- Context enrichment -- goals are auto-enriched with codebase context from the KG
- Rule validation -- goals are checked against the project constitution before execution
- Historical leverage -- prior goal outcomes inform new goal planning
- Durable checkpoints -- goal state is checkpointed for crash recovery
- Validation commands -- auto-extracts shell commands from end-state criteria
User Experience
- Message queuing -- queue messages while agent is processing; related queries are intelligently combined using regex patterns for conjunctions, sequential actions, and similar structure
- Exit confirmation -- modal dialog prevents accidental termination via Ctrl+C or
/exit - Terminal transparency -- UI respects your terminal's transparency settings for seamless integration
- Theme system -- multiple built-in themes (modern_dark, modern_light, nord, gruvbox) with proper color semantics
Commands
- Slash commands -- comprehensive command set for common operations:
/help-- show available commands/clear-- clear the current event log/mcp-- browse connected MCP servers and their tools/history-- browse and select from historical chat sessions/image-- attach images to messages/init-- initialize a new project or workspace/review-- review code and suggest improvements/test-- run tests on the current codebase/search-- search through code and documentation/stats-- show statistics about the current session/cost-- show token and cost tracking information/queue-- show current message queue status/queue:clear-- clear all queued messages/queue:toggle-- enable/disable message queuing/model-- switch between available AI models/theme-- switch between available themes/compact-- compact conversation context to save tokens/diff-- show interactive diff viewer for recent changes/recap-- summarize the session context/fast-- toggle fast mode (Haiku/Flash models)/memory-- manage project memory (AGENTS.md)/agents-- list available specialized agents/add-dir-- add a directory to the agent's working context/restore N-- restore workspace to snapshot at turn N/sessions-- list and manage durable sessions/trust-- toggle trust mode/sandbox-- set sandbox mode (read-only / workspace-write / danger-full-access)/approve-- set approval policy (on-request / auto / never)/jobs-- list and manage shell jobs/tasks-- list and manage background tasks/stash-- manage input draft stash/hooks-- show lifecycle hook status/exit,/quit-- exit the application with confirmation/goal <text>-- start an autonomous goal loop/goal:status-- show current goal progress/goal:cancel-- cancel the active goal/goal:history-- browse past goals from the Knowledge Graph/agents-- open the Agent View multi-session dashboard/bg-- background the current session/attach <id>-- attach to a specific session
Input Prefixes
!-- Direct Bash execution (e.g.,!ls -la)@-- Fuzzy file mention autocomplete (e.g.,@app.py)
Backend Integration
- Unified specialist visibility -- MCP agents and A2A peers appear identically in the workflow sidebar; both emit the same sideband events via the backend's
discover_all_specialists()unified roster - Tool-count telemetry --
tools-boundsideband events includetoolset_count,dev_tools, andmcp_toolsbreakdowns for per-specialist visibility - Real-time token and cost tracking -- integrated in the status line for session monitoring
- Memory Auto-loading -- backend automatically includes
AGENTS.mdandMEMORY.mdin the system prompt for project-aware reasoning.
Usage
Start the agent-utilities backend server, then launch the TUI:
agent-terminal-ui
Or run with uv if installed locally:
uv run agent-terminal-ui
Keyboard Shortcuts
- Ctrl+C -- Interrupt generation or cancel current operation
- Ctrl+D -- Exit session (with confirmation)
- Ctrl+L -- Clear the event log
- Ctrl+O -- Toggle workflow sidebar
- Ctrl+S -- Stash current input draft
- Ctrl+T -- Toggle task list view
- Ctrl+U -- Clear input buffer
- Ctrl+Y -- Restore cleared input buffer
- Alt+P -- Switch AI model
- Alt+T -- Toggle Extended Thinking (for reasoning models)
- Alt+O -- Toggle Fast Mode
- Shift+Tab -- Cycle reasoning effort (OFF → HIGH → MAX)
- Ctrl+R -- Reverse history search
- Ctrl+H -- Show help overlay
- Tab -- Navigate between focusable elements
- Esc Esc -- Rewind/Undo (experimental)
- Left Arrow -- Switch to Agent View dashboard
- Right Arrow / Enter -- Attach to selected session (from Agent View)
Message Queuing
When the agent is processing, your input is automatically queued. The system intelligently combines related queries using patterns like:
- Conjunctions: "and", "also", "plus", "then", "after that"
- Sequential actions: semicolon-separated commands
- Similar structure: same action verbs (fix, add, remove, update, create, delete, implement, refactor)
Example: If you type "fix the bug in app.py" followed by "and add a test for it", these will be combined into a single query.
Environment Variables
| Variable | Default | Purpose |
|---|---|---|
AGENT_URL |
http://localhost:8000 |
Agent server URL |
ENABLE_ACP |
false |
Enable ACP protocol instead of AG-UI |
ACP_URL |
http://localhost:8001 |
ACP server URL (when ACP is enabled) |
Themes
The TUI supports multiple themes that respect terminal transparency:
- modern_dark (default) -- Dark theme with blue accents
- modern_light -- Light theme with proper contrast
- nord -- Nord color palette with frosty aesthetics
- gruvbox -- Gruvbox retro color scheme
Switch themes using /theme <name> command.
Development
Prerequisites
Setup
Create uv virtual environment and install dependencies:
uv sync --frozen --all-groups
To update dependencies (updates the lock file):
uv sync --all-groups
Run formatting, linting, and type checking:
uv run ruff format && uv run ruff check --fix && uv run ty check
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