Tamper-proof memory + cryptographic audit trail for AI agents. HIPAA, SOC2, GDPR compliance built-in. Trust score for every response. Python & TypeScript SDKs. Rust-powered.
Every AI decision deserves proof. We're building it.
Proof = CID content hash + HMAC-chained audit + Ed25519 signatures — verifiable by anyone outside your system.
Open-source AI agent framework with tamper-proof memory, cryptographic audit trail, and trust scoring. HIPAA, SOC2, GDPR, EU AI Act evidence-ready. Python, TypeScript, Docker.
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</div>pip install connector-agent-oss
from connector_agent_oss import Connector
import os
c = Connector("deepseek", "deepseek-chat", os.environ["DEEPSEEK_API_KEY"])
result = c.agent("bot", "You are helpful").run("Hello!", "user:alice")
That's it. 3 lines. Every response now includes:
result.cid — tamper-proof content hash (CIDv1, SHA2-256)result.trust — kernel-verified trust score, 0–100Open-source AI coding agent for the terminal. Claude Code-grade accuracy with smart model routing — uses the right AI model for each task, cutting costs 10x. Supports Claude, GPT, Gemini, DeepSeek & more.
A general-purpose Python framework for building LLM agents and multi-agent systems. "Four lines of code, an agent with memory."
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PrivateAgent is an open-source Android automation agent built with Flutter. It utilizes the DeepSeek API and native Android Accessibility Services to interpret screen layouts and execute multi-step tasks across any installed application via natural language commands.
把一队分工 Agent 织成一条写小说的流水线,做成桌面客户端;写作指纹让它越写越像你(BYO DeepSeek key,纯本地)。
Workflows from the Neura Market marketplace related to this DeepSeek resource