sentient/dev-guide
Sentient AI Agent Framework Guide
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v1.0.0·Updated 3/30/2026
Source: https://sentient.foundation | https://github.com/sentient-agi
Overview
Sentient is an open-source AGI toolstack focused on building Open Monetizable Loyal (OML) AI systems, supporting AI Agent integration with crypto networks.
Installation
pip install sentient-agent-framework
from sentient_agent_framework import SentientAgent
agent = SentientAgent(
name="my-agent",
model="openai/gpt-4o",
system_prompt="You are a helpful Web3 assistant."
)
@agent.tool
def get_token_price(symbol: str) -> dict:
return {"symbol": symbol, "price": 100.0}
agent.serve(port=8080)
OML-1.0 (Open Monetizable Loyal)
pip install oml-fingerprinting
python -m oml_fingerprinting.embed --model <path> --license oml-1.0
Sentient Enclaves (Confidential AI Compute)
from sentient_enclaves import SecureCompute
compute = SecureCompute(enclave_url="https://enclave.sentient.xyz")
result = compute.run(model="llama-3-8b", input="...", attestation=True)
Fellowship & Grant
- Sentient Fellowship: Supports open-source AGI research, focus areas: OML extensions, Agent toolchains, Web3 AI integration
- Apply: https://sentient.foundation/fellowship
- GitHub: https://github.com/sentient-agi (Sentient-Agent-Framework / OML-1.0-Fingerprinting)
Core Repositories
- Sentient-Agent-Framework: Python Agent framework
- OML-1.0-Fingerprinting: Model copyright protection
- OpenDeepSearch: SOTA search-augmented LLM
- Sentient-Enclaves-Framework: TEE confidential computing
Discord: discord.gg/sentient