fluid
A revolutionary platform enabling AI agents to self-improve through evolutionary and adversarial mechanisms, bridging the gap between theoretical autonomy and actual self-reliance.
Get StartedStart building truly autonomous AI agents
Basic Evolution Controller
Set up a basic evolutionary loop for prompt optimization.
DeFi Trading Agent
Create an autonomous DeFi trading agent with fluid.
Local LLaMA Integration
Use fluid with local LLaMA models.
from fluid.evolution import Evolution
from fluid.agent import Agent
from fluid.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",PAPERS
fluid is crucial for enabling truly autonomous AI agents by eliminating dependence on human intervention though adversarial evolutionary reinforcement.
USE CASES
Secure Environment
Create AI agents in a trusted execution environment with hardware-level security.
TEE environment initialized. Starting agent deployment.
Agent evolution cycle started...
New capability learned. Fitness score: 85%
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.
STATISTICS
COMMUNITY
We're grateful for the amazing open-source community that helps make our project better every day.
Become a contributorReady to build truly autonomous AI agents?
Join the evolution of AI agents that improve themselves through adversarial learning.