EvoAgent
Evolve better AI agents through automated optimization. EvoAgent applies evolutionary algorithms to populations of AI agents, testing them against fitness criteria, breeding the best performers, and iterating until you have agents that outperform anything you could design by hand.
Key Features
Everything you need to integrate EvoAgent into your production systems.
Population Evolution
Maintain populations of agent configurations. Each generation, top performers are selected, combined, and mutated to produce the next generation with tournament selection and adaptive mutation.
Fitness Evaluation
Define custom fitness functions that measure what matters. Combine accuracy, speed, cost, safety, and custom metrics into multi-objective fitness scores.
Agent Breeding
Automatically combine the best traits of high-performing agents. Crossover operators intelligently merge prompt strategies, tool configurations, and decision policies.
Performance Tracking
Track fitness improvements across generations. Visualize convergence curves, identify plateau points, and compare evolved agents against hand-crafted baselines.
API Reference
Production-ready REST API. All requests require a valid API key via Authorization header.
/api/v1/evoagent/evolveRun one or more generations of evolution on an agent population. Specify population size, selection pressure, mutation rate, and number of generations.
/api/v1/evoagent/agentsList all agents in a population with their current fitness scores, generation number, lineage, and configuration.
/api/v1/evoagent/evaluateEvaluate a specific agent or set of agents against your fitness function. Returns detailed performance metrics and comparison against the population average.
curl -X POST https://api.bolorintelligence.com/api/v1/evoagent/evolve \
-H "Authorization: Bearer bolor_sk_..." \
-H "Content-Type: application/json" \
-d '{
"task_description": "Customer support agent for SaaS billing inquiries",
"requirements": {"tone": "professional", "accuracy_target": 0.95},
"population_size": 10,
"generations": 5
}'Use Cases
See how teams are using EvoAgent in production today.
Agent Optimization
Teams building customer support agents use EvoAgent to evolve prompt strategies and tool-use patterns. Evolved agents consistently achieve 40% higher satisfaction scores than manually tuned agents.
Automated Strategy Discovery
Trading firms use EvoAgent to evolve decision-making strategies for market analysis agents. The evolutionary process discovers non-obvious strategy combinations humans would not think to try.
Adaptive AI Systems
Platforms with changing requirements use EvoAgent for continuous adaptation. As user behavior shifts or business rules change, evolution automatically discovers new agent configurations.
Explore More Products
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Start Building with EvoAgent
Get your API key and make your first call in under 5 minutes. Free tier includes 100 API calls per month.