
Experimental open-source framework for autonomous social agents with Autonomys Network memory and Twitter integration.
Autonomys Agents is an experimental framework for building autonomous AI agents on the Autonomys Network and beyond. The official GitHub README describes support for autonomous social media engagement, permanent agent memory storage via the Autonomys Network, built-in orchestration, Twitter integration, customizable agent personalities, and an extensible tool system. The project is in early active development, and the maintainers warn that the main branch may contain breaking changes.
Product overview
Autonomys Agents is distinctive as an experimental autonomous-agent framework tied to the Autonomys Network for permanent memory, with current emphasis on social media engagement, Twitter integration, orchestration, customizable personalities, and extensible tools. Source: official-product.
Information as of August 24, 2026
The README lists autonomous social media engagement as a feature of the framework.[1]
The framework supports permanent agent memory storage through the Autonomys Network.[1]
The official feature list includes a built-in orchestration system for coordinating agent behavior.[1]
The current integration highlighted by the README is Twitter, with additional platforms planned.[1]
The README describes customizable agent personalities and includes a character creation flow in the getting-started instructions.[1]
The framework includes an extensible tool system for adding agent capabilities.[1]
The supplied official context shows Autonomys Agents as a public GitHub repository and does not show paid hosted-service pricing; setup may still require third-party API keys or credentials such as OpenAI and Twitter credentials.[1]
Platforms: GitHub source repository, Autonomys Network, Twitter integration[1]
Access: self-hosted from source, template-based repository setup[1]
80/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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