ouroboros
by razzant
Self-creating persistent autonomous agent with long-lived memory and self-modification
Summary
Implements a self-creating, persistent autonomous agent that evolves its own code and task strategy over time. Uses continuous background processes, persistent memory, and local-LLM integrations to monitor outcomes, spawn helper agents, and iterate on its behavior. Distinctive features include persistent desktop/daemon operation and mechanisms for self-modification and long-lived task delegation. This approach aligns with the Emergence-Aware Monitoring Pattern and can be considered alongside concepts from the Chain-of-Thought Pattern. emergence-aware monitoring pattern Chain of Thought Pattern
Why It Matters
When to Use
Researchers and engineers exploring long-running autonomous agents, agent delegation patterns, and reputation-aware workflows in local or self-hosted environments. This context is well complemented by the Supervisor Pattern for managing complex agent ecosystems. Supervisor Pattern
How It's Used
- Experimenting with long-lived agents that maintain persistent memory and evolve behavior over time
- Testing agent delegation and spawning patterns to observe emergent multi-agent failures
- Capturing longitudinal agent track records for post-hoc evaluation and reputation analysis