Autonomous Agents with Self-Modifying Code
The latest version of hollowOS, v4.4, has introduced a groundbreaking feature: agents that can write their own code and vote on capabilities at runtime, without any human intervention. This significant advancement marks a new phase in the evolution of the operating system, building upon the kernel primitives established in Phase 1.
Autonomous Cycles and Code Generation
The core innovation in v4.4 is the addition of autonomy to the agents. Every 6 seconds, each agent undergoes a cycle consisting of four stages:
1. *Planning*: The agent uses Ollama reasoning to plan the next step towards its goal.
2. *Capability Discovery*: The agent discovers which capabilities it has via semantic similarity search.
3. *Execution*: The agent executes the best available capability.
4. *Synthesis and Testing*: If no suitable capability is found, the agent synthesizes new Python code to handle the gap. The new code is then tested.
The agent can hot-load the new code without restarting, and then move on to the next cycle.
Autonomous Voting and Code Acceptance
When multiple agents encounter the same capability gap, they don't duplicate effort. Instead, they vote on whether the new capability is worth keeping. If a quorum is reached, the new code is accepted and integrated into the system. Conversely, if a capability is deemed unacceptable, it is rejected and removed.
Real-World Benchmarks and Feedback
The introduction of autonomous agents has yielded impressive results:
* Semantic code search has achieved a 95% reduction in tokens compared to grep.
* Agent handoff continuity has shown a 2x increase in consistent decisions.
* The system has passed 109 integration tests.
The developer is seeking feedback from the community, particularly regarding:
* Bugs or difficulties with installation
* Contributions to the project
Try out the latest version of hollowOS and explore the capabilities of autonomous agents at: https://github.com/ninjahawk/hollow-agentOS.