AgentDock
Description
🖼️ Tool Name:
AgentDock
🔖 Tool Category:
AI Agent Development Platform – categorized under open-source, agentic AI tools for building and orchestrating intelligent, automated workflows.
✏️ What does this tool offer?
AgentDock provides a flexible environment to create, run, and manage production-ready AI agents. It combines a visual node-based builder with a powerful backend that supports LLM orchestration, external API calls, and real-time triggers (e.g., webhooks, scheduled jobs, or API calls).
It enables developers to build autonomous agents that can reason, remember, and interact with tools or data sources—using OpenAI, Claude, Gemini, and more. AgentDock also supports branching logic, memory, persistent agent state, and chaining multiple agents in one pipeline.
⭐ What does the tool actually deliver based on user experience?
• Visual builder for creating complex multi-step workflows (low-code/no-code)
• Full access to source code with TypeScript backend and React/Next.js frontend
• Easily integrate APIs, call tools, or handle dynamic decision logic
• Supports memory, long-term context, file handling, and knowledge grounding
• Example agents include research bots, PDF analyzers, customer support flows, and autonomous crawlers
• Stable, modular architecture for enterprise-grade agent design
🤖 Does it include automation?
Yes — AgentDock is built for deep automation:
• Fully automates workflows triggered by APIs or scheduled tasks
• Agents can reason and act autonomously based on input/context
• Supports dynamic tool execution, conditional branches, and fallbacks
• Includes automatic error handling, retries, and logging
💰 Pricing Model:
Freemium model (Open-source core + optional cloud-based Pro tier)
🆓 Free Plan Details:
• AgentDock Core is completely free and open-source (MIT license)
• Developers can self-host with their own API keys for LLMs
• Offers full access to orchestration features without limits
💳 Paid Plan Details (Pro):
• Hosted cloud platform (currently via waitlist)
• Unified API key management, team collaboration, and credits-based usage
• Faster execution, integrated observability, and enterprise SLAs
• Auto-failover across LLMs, real-time debugging, and Pro-only nodes/tools
🧭 Access Method:
• AgentDock Core available via GitHub
• Install locally or deploy on your own infrastructure
• AgentDock Pro available via cloud at — join the waitlist for early access
🔗 Experience Link:
• Official website: https://agentdock.ai
• GitHub repo: https://github.com/AgentDock/AgentDock
• Documentation: https://agentdock.ai/docs .