Adan Yanes Qk0o
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Autonomys Agents (Auto Agents): The Future of On-Chain AI 👏
The Autonomys Agents Framework introduces truly autonomous, verifiable, and censorship-resistant AI agents**—designed to operate **on-chain with permanent memory and transparent decision-making.
Unlike centralized AI tools that rely on fragile off-chain systems, Auto Agents are built on the Autonomys Network and leverage Proof-of-Archival-Storage (PoAS) to ensure data permanence and integrity.
Key Features:
🧠 Modular Cognitive Architecture:
• Think – Interpret inputs & context
• Plan – Break goals into tasks
• Execute – Orchestrate tools and workflows
💾 Tiered Memory Design:
• Short-term (local)
• Domain-specific (e.g., finance, social media)
• Permanent general memory stored immutably on-chain via CID chaining
🔗 Tooling & Integration
• X/Twitter engagement
• Multi-model LLM support (OpenAI, Anthropic, LLaMA, etc.)
• Custom personas & extensible tools
• CLI + API support
Real Use Case:
[Argu-mint](https://0xargumint.ai)
The first truly on-chain agent that actively debates and engages on X. Every decision, from reading tweets to crafting replies, is stored on-chain and verifiable.
🌐 Why Auto Agents Matter
✅ Verifiable AI – Full audit trail
✅ Censorship-Resistant – Immutable records
✅ True Autonomy – No centralized kill switch
✅ Composability – Extendable for any use case
👨💻 Start building:
https://t.co/e1OxfNz27b
#Autonomys
The Autonomys Agents Framework introduces truly autonomous, verifiable, and censorship-resistant AI agents**—designed to operate **on-chain with permanent memory and transparent decision-making.
Unlike centralized AI tools that rely on fragile off-chain systems, Auto Agents are built on the Autonomys Network and leverage Proof-of-Archival-Storage (PoAS) to ensure data permanence and integrity.
Key Features:
🧠 Modular Cognitive Architecture:
• Think – Interpret inputs & context
• Plan – Break goals into tasks
• Execute – Orchestrate tools and workflows
💾 Tiered Memory Design:
• Short-term (local)
• Domain-specific (e.g., finance, social media)
• Permanent general memory stored immutably on-chain via CID chaining
🔗 Tooling & Integration
• X/Twitter engagement
• Multi-model LLM support (OpenAI, Anthropic, LLaMA, etc.)
• Custom personas & extensible tools
• CLI + API support
Real Use Case:
[Argu-mint](https://0xargumint.ai)
The first truly on-chain agent that actively debates and engages on X. Every decision, from reading tweets to crafting replies, is stored on-chain and verifiable.
🌐 Why Auto Agents Matter
✅ Verifiable AI – Full audit trail
✅ Censorship-Resistant – Immutable records
✅ True Autonomy – No centralized kill switch
✅ Composability – Extendable for any use case
👨💻 Start building:
https://t.co/e1OxfNz27b
#Autonomys
Disclaimer: Includes third-party opinions. No financial advice. May include sponsored content. See T&Cs.
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