Roadmap

This document outlines the planned features and future direction for AgentDock. Most improvements target the core AgentDock framework (agentdock-core), which is under active development and will be published as a versioned NPM package upon reaching a stable release. Some items may also involve the open-source client.

In Progress

Feature	Description
Storage Abstraction Layer	Flexible storage system with pluggable providers
Advanced Memory Systems	Long-term context management
Vector Storage Integration	Embedding-based retrieval for documents and memory
Evaluation for AI Agents	Comprehensive testing and evaluation framework

Planned

Feature	Description
Platform Integration	Support for Telegram, WhatsApp, and other messaging platforms
Multi-Agent Collaboration	Enable agents to work together
Model Context Protocol (MCP) Integration	Support for discovering and using external tools via MCP
Voice AI Agents	AI agents using voice interfaces and phone numbers via AgentNode
Telemetry and Traceability	Advanced logging and performance tracking

Advanced Agent Applications

Feature	Description
Code Playground	Sandboxed code generation and execution with rich visualization capabilities
Generalist AI Agent	Manus-like agent that can use browser and execute complex tasks

Workflow System

Feature	Description
Workflow Runtime & Nodes	Core runtime, node types, and orchestration logic for complex automations

Cloud Deployment

Feature	Description
AgentDock Pro	Comprehensive enterprise cloud platform for scaling AI agents & workflows, with visual tools and autoscaling
Natural Language AI Agent Builder	Visual builder + natural language agent and workflow construction
Agent Marketplace	Monetizable agent templates

Open Source Client Enhancements

• Improved UI/UX for agent management and chat.
• Enhanced visualization for orchestration steps.
• More robust BYOK (Bring Your Own Key) management.
• Multi-modal input/output support (beyond basic image generation).
• Example implementations for multi-threading/background tasks (where applicable in Next.js).
• Exploration of patterns for multi-tenancy support within the client architecture.

Community & Ecosystem

• Grow the library of community-contributed agents.
• Develop more example projects and tutorials.
• Establish clearer contribution guidelines.

AgentDock Repository Improvements

• Complete test suite (Unit, Integration, E2E).
• Expand core capabilities with workflow node types and runtime enhancements.

This roadmap is indicative and subject to change.