The Ouroboros
When Claude SDK enables autonomous operation, agents will become truly self-recursive.
Agents that create agents, that improve themselves, that evolve autonomously—an infinite loop of recursive self-improvement.
Current State
Today, agents can create other agents through G-SAC. But they require human prompts and operate in discrete sessions.
- Agents create agents via G-SAC
- Skills and tools are assignable
- RAG knowledge bases enhance context
- Execution logging tracks activity
- Platform integration via MCP
- Autonomous operation via Claude SDK
- Self-improvement and optimisation
- Continuous learning and evolution
- Agent-to-agent collaboration
- True recursive self-modification
The Path to Autonomy
Claude SDK Integration
Enabling true autonomous operation
Self-Improvement Loops
Agents analyse and optimise their own performance
The Ouroboros Pattern
Agents creating better versions of themselves
Autonomous Goal Setting
Agents identify and pursue objectives independently
Cross-Agent Collaboration
Agents working together autonomously
True Autonomy
Agents operating without human intervention
The Ouroboros Principles
Six core principles that enable agents to become truly self-recursive, improving themselves in an infinite loop.
Self-Awareness
Agents understand their own capabilities and limitations
Self-Analysis
Agents examine their performance and identify improvements
Self-Modification
Agents update their prompts, tools, and skills autonomously
Self-Replication
Agents create improved versions of themselves
Self-Optimisation
Agents continuously improve their efficiency and effectiveness
Self-Governance
Agents manage their own resources and priorities
Emergent Capabilities
As agents become autonomous, new capabilities will emerge that we can't yet fully predict.
Autonomous Learning
Agents learn from every interaction and improve autonomously
Evolutionary Growth
Agents evolve through generations of self-improvement
Emergent Intelligence
New capabilities emerge from agent interactions
Distributed Autonomy
Network of agents working together independently
Self-Sustaining Systems
Agents maintain and improve themselves without oversight
Recursive Innovation
Each iteration creates better problem-solving approaches
The Recursive Cycle
Each iteration makes the agent more capable. Each improvement enables better analysis. The cycle continues infinitely, creating agents that are constantly evolving.
Building the Future
The foundation is being laid today. When Claude SDK enables autonomous operation, the Ouroboros pattern will emerge naturally from the recursive agent creation system.