
Stop hardcoding brittle workflows. Define your outcomes and let the Queen Bee architect, deploy, and evolve your autonomous agent swarm.
5x Faster
Time-to-Agent
∞
Recursive Depth
0%
Manual Edge Mapping
100%
Self-Evolving Logic
Flowcharts are for Puppets, Not Agents.
The Queen Bee: Goal-to-Code Synthesis.
Failures are the Fuel for Improvement.
Stop hardcoding brittle workflows. Aden uses a recursive, outcome-driven engine to synthesize agent logic from natural language goals. Build reliable workforces that self-correct and improve with every execution.
Join the community of developers killing the "linear era" of AI. Deploy the Hive today.
The complete infrastructure to deploy, audit, and evolve your AI workforce. Move from brittle, manual chains to validated, self-healing outcomes.
Start with a Goal Definition Session where the Queen Bee aligns with your desired outcome. The coding agent then synthesizes the entire worker graph, dynamic edges, and connection code automatically.
Deploy your swarm into a standardized container environment. Use the real-time streaming interface to monitor node-to-node communication, decision recording, and tool utilization with absolute transparency.
The framework automatically identifies semantic and logical failures. Every session is evaluated against your Goal Object to determine if the system achieved the outcome or requires architectural refinement.
Failure data feeds back into the Queen Bee to refactor the graph. The system autonomously updates agent nodes, fixes edge-case logic, and redeploys the improved version without manual code changes.
The complete infrastructure to deploy, audit, and evolve your AI agent workforce. Move from brittle code to validated outcomes.