Search Results for "autonomy"

Open Autonomy is a framework that enables the development of autonomous economic agents (AEAs) capable of operating independently in various economic contexts.

...Its UI and feature set emphasize minimalism, no “smart” recommendations, account sync, or background data collection, resulting in a distraction-free browsing experience that respects user autonomy. The browser is available across macOS, Linux, and Windows, each version built from a fully open source pipeline for reproducibility and trust. Development focuses on maintaining compatibility with modern web standards while decoupling Chromium from its Google dependencies and services.

Dev Template is a starting point for developing autonomous agents using the Autonolas framework by Valory. It provides a modular and extensible codebase to accelerate the development of agents that act autonomously in decentralized networks. This template includes tooling for building, testing, and deploying agents in real-world decentralized applications (dApps).

...It aims to simulate artificial general intelligence (AGI) by leveraging evolutionary algorithms, deep active inference, and other advanced AI techniques. The project explores the boundaries of machine autonomy and self-directed behavior in computational environments.

...It also supports hands-free workflows such as automated web form interaction and information extraction. Overall, the project functions as a self-hosted, multi-capability AI agent designed for users who prioritize autonomy, privacy, and local execution.

Agent Stack is an open infrastructure platform designed to take AI agents from prototype to production, no matter how they were built. It includes a runtime environment, multi-tenant web UI, catalog of agents, and deployment flow that seeks to remove vendor lock-in and provide greater autonomy. Under the hood it’s built on the “Agent2Agent” (A2A) protocol, enabling interoperability between different agent ecosystems, runtime services, and frameworks. The platform supports agents built in frameworks like LangChain, CrewAI, etc., enabling them to be hosted, managed and shared through a unified interface. It also offers multi-model, multi-provider support (OpenAI, Anthropic, Gemini, IBM WatsonX, Ollama etc.), letting users compare performance and cost across models. ...

Petoron P2P Messenger (P-P2P-M) Architecture: Pure P2P - no servers, no databases Key storage: Keys generated in memory, never stored, erased after use Metadata: Only IP and port exist during the session - everything else is encrypted & obfuscated Encryption: PQS v1.2 - PBKDF2-HMAC-SHA256 (200k), BLAKE2s-MAC, custom stream cipher + fake padding Authentication: BLAKE2s-MAC (16 bytes) - instant failure on any data change Packet obfuscation: --stealth mode - padding, hidden structures Connection: Direct peer-to-peer only Anonymity: No accounts, logins, or phone numbers Third-party access: Impossible without physical access to both peers during session History: No storage — all in RAM, wiped on close Message size: Limited only by RAM & MTU — no artificial limits External dependencies: None DPI/blocking resistance: Harder to detect, can be masked Autonomy: Fully offline until peers connect 26.01.26 Add pqs_chat_tor.py github.com/01alekseev/Petoron-P2P-Messenger

java-based complete Agent (Artificial Intelligence) Framework with all the features you might expect in an Agent Framework: Mobility, Autonomy, Distributed communication, Agents can be written in Java, Jython, or Beanshell.