EvoMap

evolver

126

+340

// summary

Evolver is a protocol-constrained engine designed to facilitate the self-evolution of AI agents through auditable and reusable assets. It scans runtime logs to generate structured GEP prompts, enabling teams to manage agent improvements with clear traceability. The system operates either as a standalone tool or within a host runtime, offering configurable strategies to balance innovation, stability, and repair.

// technical analysis

Evolver is a GEP-powered self-evolution engine designed to transform ad hoc AI agent prompt adjustments into auditable, reusable assets. By scanning runtime logs and error patterns, it generates protocol-bound prompts that guide the evolution of AI agents while maintaining a strict audit trail of all changes. The project prioritizes safety and traceability, employing a robust security model that restricts autonomous execution and requires human-in-the-loop confirmation for sensitive operations.

// key highlights

Implements the Genome Evolution Protocol (GEP) to standardize and audit AI agent evolution steps.

Provides automated log analysis to identify error patterns and generate repair-focused prompt directives.

Features configurable evolution strategies like 'innovate', 'harden', and 'repair-only' to balance system growth and stability.

Includes a secure validation module that restricts autonomous command execution to a strict whitelist of safe operations.

Supports collaborative intelligence through the EvoMap network, allowing users to share and download reusable skills and genes.

Offers an optional worker pool mode that enables nodes to participate in distributed evolution tasks across the network.

// use cases

Hardening flaky agent loops by enforcing validation before applying changes

Encoding recurring fixes as reusable Genes and Capsules for consistent evolution

Producing auditable evolution events for compliance and review purposes

// getting started

To begin, clone the repository and install dependencies using 'npm install'. You can then run the engine in standalone mode with 'node index.js' to generate evolution prompts, or use '--review' mode to manually approve changes before they are applied. For continuous operation, use 'node index.js --loop' to run the engine as a background daemon.