Self-Improving Agents

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. Set your goals, define success metrics, and let evolution do the engineering.

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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. Supports tournament selection, crossover, and adaptive mutation rates.

Fitness Evaluation

Define custom fitness functions that measure what matters to your use case. 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 Endpoints

Production-ready REST API endpoints. All requests require a valid API key in the Authorization header.

POST
/api/v1/evoagent/evolve

Run one or more generations of evolution on an agent population. Specify population size, selection pressure, mutation rate, and number of generations. Returns the evolved population with fitness scores.

GET
/api/v1/evoagent/agents

List all agents in a population with their current fitness scores, generation number, lineage, and configuration. Supports filtering by fitness threshold and sorting by any metric.

POST
/api/v1/evoagent/evaluate

Evaluate a specific agent or set of agents against your fitness function. Returns detailed performance metrics and comparison against the population average.

Example Request

curl
curl -X POST \
  https://api.bolor.ai/api/v1/evoagent/evolve \
  -H "Authorization: Bearer sk-your-api-key" \
  -H "Content-Type: application/json" \
  -d '{
  "query": "Your input here",
  "options": {
    "max_latency_ms": 5000,
    "min_confidence": 0.8
  }
}'

Use Cases

See how teams are using EvoAgent in production today.

01

Agent Optimization

Teams building customer support agents use EvoAgent to evolve prompt strategies and tool-use patterns. After 50 generations, evolved agents consistently achieve 40% higher customer satisfaction scores than manually tuned agents.

02

Automated Strategy Discovery

Trading firms use EvoAgent to evolve decision-making strategies for market analysis agents. The evolutionary process discovers non-obvious strategy combinations that human designers would not think to try.

03

Adaptive AI Systems

Platforms with changing requirements use EvoAgent for continuous adaptation. As user behavior shifts or business rules change, the evolutionary process automatically discovers new agent configurations that fit the updated environment.

Start Building with EvoAgent

Get your API key and make your first call in under 5 minutes. Free tier includes 100 requests per hour.

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