agent-webui 0.1.36

Agent Web Interface for Pydantic AI Agents

Agent WebUI

Version: 0.1.36

A React-based chat interface for Pydantic AI Agents built using Agent Utilities.

Built with Vercel AI SDK and designed to work with Pydantic AI's streaming chat API.

Features

Core Chat Experience

• Streaming message responses with reasoning display
• Tool call visualization with collapsible input/output
• Interactive Elicitation Forms for structured user input
• Conversation persistence via localStorage and server-side storage
• Dynamic model and tool selection
• Dark/light theme support
• Mobile-responsive sidebar

Advanced Agent Capabilities

• Scheduling jobs with cron task monitoring
• Memory management with timeline visualization and importance scoring
• MCP Support with unified specialist discovery
• Multi-model support with dynamic routing
• Multi-modal support -- image attachments can be sent alongside text messages for visual reasoning
• Mermaid diagram rendering via Streamdown

Graph Orchestration & Visualization

• Graph Activity Visualization -- real-time specialist tracking with domain routing, parallel execution status, tool calls, and expert reasoning displayed in a collapsible timeline (GraphActivity.tsx)
• Enhanced GraphView -- interactive graph visualization with:
  • Force-directed, hierarchical, and circular layout algorithms
  • Zoom/pan controls and PNG export
  • Node type filtering and detailed node inspection
  • Real-time graph statistics and relationship explorer
• Human-in-the-loop tool approval -- security-sensitive tool calls are intercepted and require explicit user permission via an inline approval card (ApprovalCard.tsx)

Knowledge Management

• Knowledge Base Management -- comprehensive KB system with:
  • Document ingestion from multiple sources (PDF, DOCX, EPUB, Markdown, URLs)
  • Article CRUD with concept extraction and fact indexing
  • Health check monitoring with contradiction detection
  • Hybrid search across knowledge bases
• Memory Management -- agent memory system with:
  • Timeline visualization of memory creation and updates
  • Importance scoring and temporal decay tracking
  • Tag-based organization and advanced search
  • Impact analysis for code changes
• MAGMA Orthogonal Views -- policy-guided retrieval across:
  • Semantic view (vector-based similarity)
  • Temporal view (episodic memory with decay)
  • Causal view (reasoning traces and "why" links)
  • Entity view (people, organizations, code symbols)

Spec-Driven Development (SDD)

• Constitution Management -- project governance and tech stack configuration
• Specification Management -- user stories, acceptance criteria, and requirements
• Implementation Planning -- technical approach with dependency mapping
• Task Management -- parallel execution tracking with status updates
• Memory Synchronization -- automatic capture of SDD lifecycle to knowledge graph

Resource Management

• MCP Tool Discovery -- automatic discovery and registration of MCP server tools
• A2A Agent Registry -- peer-to-peer agent communication and coordination
• Specialist Spawning -- dynamic creation of specialized sub-agents with curated toolsets
• Resource Explorer -- unified view of all callable resources (MCP tools, A2A agents, skills)

Workspace Management

• Files -- browse and manage workspace files with upload/download
• Skills -- view and configure universal skills
• Scheduling -- monitor and manage cron tasks
• Configuration -- adjust agent and workspace settings
• Knowledge -- manage knowledge base and embeddings
• Graph -- interactive knowledge graph visualization and exploration
• Memory -- agent memory management with timeline and search
• SDD -- spec-driven development lifecycle management

Agent Identity & Context

• Agent identity display in sidebar with workspace-aware context
• Multi-agent team support with P2P messaging
• Workspace-specific configuration and preferences

Architecture

Protocol Support

• AG-UI (default): Standard Vercel AI SDK streaming via /api/chat. Supports text, reasoning, tool calls, and graph sideband events. Uses the @ai-sdk/react useChat hook for real-time streaming.
• ACP (opt-in): Advanced Agent Communication Protocol via /acp/*. Provides session management, planning modes, and approval bridges. Enabled by setting VITE_ENABLE_ACP=true. Routes through the full HSM graph pipeline via create_graph_acp_app(), ensuring ACP clients benefit from specialist routing, parallel execution, circuit breakers, and verification.

Backend Integration

The backend (agent/agent_webui/server.py) creates a FastAPI application via create_agent_web_app() that:

1. Mounts Pydantic AI's web routes for /api/chat (model selection, tool configuration, streaming)
2. Provides enhanced workspace APIs at /api/enhanced/*:
   • Knowledge Graph APIs: Memory CRUD, node linking, search, impact analysis, Cypher queries
   • Knowledge Base APIs: Ingestion, listing, search, article retrieval, health checks
   • SDD Lifecycle APIs: Constitution, specs, plans, tasks management, memory synchronization
   • MAGMA View APIs: Orthogonal context retrieval (semantic, temporal, causal, entity)
   • Resource Management APIs: MCP/A2A resource listing, specialized agent spawning
   • Maintenance APIs: Graph maintenance operations and status monitoring
   • Pipeline APIs: 12-phase intelligence pipeline monitoring and execution
3. Serves the built React SPA with client-side routing support via a custom SPAStaticFiles handler
4. Integrates Logfire for real-time observability
5. Uses unified specialist discovery (discover_all_specialists()) at graph bootstrap, merging MCP agents and A2A peers into a single DiscoveredSpecialist roster before graph initialization
6. Provides backend abstraction via GraphBackend factory, supporting LadybugDB (default), FalkorDB, and Neo4j

ACP requests route through the full HSM graph pipeline, ensuring ACP clients share the same specialist routing, parallel execution, and verification logic as AG-UI and SSE clients.

Unified Discovery Architecture

graph LR
    subgraph Sources ["Discovery Sources"]
        NA["NODE_AGENTS.md<br/>(MCP Specialists)"]
        A2A["A2A_AGENTS.md<br/>(Remote Peers)"]
    end
    subgraph Unified ["Unified Discovery (a2a.py)"]
        DAL["discover_all_specialists()"]
        DS["list[DiscoveredSpecialist]"]
    end
    subgraph Graph ["Graph Bootstrap"]
        TagPrompts["tag_prompts"]
        StepDescs["get_step_descriptions()"]
        Nodes["Specialist Nodes"]
    end
    NA --> DAL
    A2A --> DAL
    DAL -->|Deduplicated by tag| DS
    DS --> TagPrompts
    DS --> StepDescs
    DS --> Nodes

Both MCP and A2A specialists are registered through the same code path. The frontend does not need to distinguish between them -- it consumes identical sideband events (specialist_enter, tools-bound, subagent_completed) regardless of specialist source.

Key Frontend Components

Component	File	Responsibility
Chat.tsx	src/Chat.tsx	Main chat interface with streaming, tool execution, graph activity, multi-modal input, approval workflows
GraphActivity.tsx	src/components/GraphActivity.tsx	Real-time graph execution timeline showing routing decisions, parallel execution, tool binding, and expert reasoning
ApprovalCard.tsx	src/components/ApprovalCard.tsx	Human-in-the-loop tool approval card for security-sensitive operations
Part.tsx	src/Part.tsx	Message part renderer handling text, tool calls, elicitation forms, sources, and images
app-sidebar.tsx	src/components/app-sidebar.tsx	Navigation sidebar with conversation history, agent identity, and view switching
Graph Views
GraphView.tsx	src/components/views/GraphView.tsx	Interactive graph visualization with layouts, zoom/pan, node inspection, and statistics
Knowledge Management
KnowledgeBaseView.tsx	src/components/views/KnowledgeBaseView.tsx	Knowledge base ingestion, article management, health checks, and search
MemoryView.tsx	src/components/views/MemoryView.tsx	Memory CRUD with timeline visualization, importance scoring, and advanced search
SDD Lifecycle
SDDView.tsx	src/components/views/SDDView.tsx	Spec-driven development: constitution, specs, plans, tasks, and memory synchronization
Workspace Views
FilesView.tsx	src/components/views/FilesView.tsx	Workspace file browser with upload and download
SkillsView.tsx	src/components/views/SkillsView.tsx	Universal skills viewer and configuration
SchedulingView.tsx	src/components/views/SchedulingView.tsx	Cron task monitoring and management
ConfigurationView.tsx	src/components/views/ConfigurationView.tsx	Agent and workspace configuration
KnowledgeView.tsx	src/components/views/KnowledgeView.tsx	Knowledge base and embedding management (legacy)
Protocol Clients
acp-client.ts	src/lib/acp-client.ts	ACP protocol client for session management, RPC calls, and SSE event streaming
mcp-context.tsx	src/lib/mcp-context.tsx	MCP tool context provider for the React tree

State Management

• Server state: React Query (@tanstack/react-query) for workspace data, conversations, and configuration
• Chat state: Vercel AI SDK useChat hook for message streaming and tool execution
• Client state: React Context and local component state
• Persistence: localStorage for conversation IDs and preferences, server-side via /api/enhanced/chats

Development

pnpm install
pnpm run dev:server  # start the Python backend (requires agent/ setup)
pnpm run dev         # start the Vite dev server

Testing

# Frontend tests
pnpm run test              # Run unit tests
pnpm run test:coverage     # Run with coverage
pnpm run test:watch        # Watch mode
pnpm run test:e2e          # Run E2E tests with Playwright

# Backend tests
pytest agent/agent_webui/__tests__/              # Run backend tests
pytest agent/agent_webui/__tests__/ --cov        # With coverage

Environment Variables

Variable	Default	Description
VITE_ENABLE_ACP	false	Enable ACP protocol support alongside AG-UI

License

MIT