Extend your
Agent's Context.

import agentboost as ab

# Initialize autonomous fleet
client = ab.Client(api_key='sk_live_...')

# Mount institutional tools via MCP
agent.mount(client.skills.get('crypto_quant_v2'))

try:
    response = agent.execute(
        task="Optimize delta-neutral portfolio",
        strict_mode=True
    )
    print(response.metrics.sharpe_ratio)
except ab.errors.ContextLimitExceeded:
    agent.recalibrate_memory()