Introducing evolverl on PyPI
evolveRL
A revolutionary platform enabling AI agents to self-improve through evolutionary and adversarial mechanisms, bridging the gap between theoretical autonomy and actual self-reliance.
Start building truly autonomous AI agents
from evolverl.evolution import Evolution
from evolverl.agent import Agent
from evolverl.judge import Judge, JudgingCriteria
# Initialize components
evolution = Evolution(
population_size=10,
generations=5,
mutation_rate=0.2
)
agent = Agent(
model="gpt-4o-mini",
config={"temperature": 0.7}
)
judge = Judge(
model="gpt-4o-mini",
criteria=JudgingCriteria(
correctness=1.0,
clarity=0.7
)
)
# Start evolution
evolved_agent = evolution.train(
agent=agent,
task="your_task",
judge=judge,
tester=tester
)
Papers
Use Cases
Secure Environment
Create AI agents in a trusted execution environment with hardware-level security.
[2023-12-15 14:23:45] INFO
TEE environment initialized. Starting agent deployment.
[2023-12-15 14:23:47] ACTION
Agent evolution cycle started...
[2023-12-15 14:23:50] DECISION
New capability learned. Fitness score: 85%
[2023-12-15 14:23:52] WARNING
Resource optimization in progress.
[2023-12-15 14:23:55] ERROR
Evolution checkpoint saved successfully.
Evolution Monitoring
Track your AI agents as they learn and evolve with detailed performance metrics.
Continuous Evolution
Watch your AI agents adapt and improve through secure evolutionary processes.
Features
Evolutionary Optimization
Automatically generate, test, and refine prompts via evolutionary mechanisms.
Adversarial Testing
Specialized adversarial models craft tricky scenarios to expose and fix weaknesses.
Self-Improvement Loop
Continuous improvement without human intervention through evolutionary processes.
Multi-Agent Systems
Enable complex agent collaboration in decentralized and enterprise contexts.
Flexible Integration
Connect your preferred LLM and deploy on-chain or off-chain with ease.
Performance Metrics
Empirically validate improvements through comprehensive scoring mechanisms.
Ready to build truly autonomous AI agents?
Join the evolution of AI agents that improve themselves through adversarial learning.