DelphiMistralAI is an open-source Python toolkit that integrates the powerful Mistral-7B LLM with the Delphi moral reasoning model. It offers both a command-line interface and a RESTful API for delivering reasoned ethical judgments on user-supplied scenarios. Users can deploy the agent locally, customize judgment criteria, and inspect generated rationales for each moral decision. This tool aims to accelerate AI ethics research, educational demonstrations, and safe, explainable decision support systems.

Avalon-LLM is a Python-based multi-agent AI framework that allows users to orchestrate multiple LLM-driven agents in a coordinated environment. Each agent can be configured with specific tools—including web search, file operations, and custom APIs—to perform specialized tasks. The framework supports memory modules for storing conversation context and long-term knowledge, chain-of-thought reasoning to improve decision making, and built-in evaluation pipelines to benchmark agent performance. Avalon-LLM provides a modular plugin system, enabling developers to easily add or replace components such as model providers, toolkits, and memory stores. With simple configuration files and command-line interfaces, users can deploy, monitor, and extend autonomous AI workflows tailored to research, development, and production use cases.

Arcade is a developer-oriented framework that simplifies building AI agents by providing a cohesive SDK and command-line interface. Using familiar JS/TS syntax, you can define workflows that integrate large language model calls, external API endpoints, and custom logic. Arcade handles conversation memory, context batching, and error handling out of the box. With features like pluggable models, tool invocation, and a local testing playground, you can iterate quickly. Whether you're automating customer support, generating reports, or orchestrating complex data pipelines, Arcade streamlines the process and provides deployment tools for production rollout.

CereBro offers a modular architecture for creating AI agents capable of self-directed task decomposition, persistent memory, and dynamic tool usage. It includes a Brain core managing thoughts, actions, and memory, supports custom plugins for external APIs, and provides a CLI interface for orchestration. Users can define agent goals, configure reasoning strategies, and integrate functions such as web search, file operations, or domain-specific tools to execute tasks end-to-end without manual intervention.