BeeAI is a web-based platform empowering businesses and individuals to build and manage AI agents without writing code. It supports ingesting documents like PDFs and CSVs, integrating with APIs and tools, managing agent memory, and deploying agents as chat widgets or via API. With analytics dashboards and role-based access, you can monitor performance, iterate on workflows, and scale your AI solutions seamlessly.

mini-agi is designed to simplify the creation of autonomous AI agents by providing a minimal, modular framework. Built in Python, it leverages OpenAI’s language models to interpret high-level goals, decompose them into sub-tasks, and orchestrate tool calls such as HTTP requests, file operations, or custom actions. The framework includes memory storage to track agent state and results, a planner module for task decomposition with cost-based heuristics, and an executor module that sequentially invokes tools. With configuration files, users can inject custom tools, define prompt templates, and adjust planning depth. mini-agi’s lightweight architecture makes it ideal for prototyping AI agents that perform research queries, automate workflows, or generate code autonomously.

AChat.dev is a developer-centric platform that allows users to create, test and deploy AI chat agents with advanced capabilities. It supports persistent conversation memory so agents remember past interactions, dynamic function calls to external APIs for real-time data retrieval, and role-based multi-agent collaboration. Built on Python and Node.js SDKs, it includes templating for quick setup, plugin architecture for extensibility, and monitoring dashboards to track agent performance. AChat.dev ensures GDPR-compliant data handling and can scale across cloud and on-premise environments.