Search Results for "python based intelligent agents"

...Originally built at Netflix and actively maintained by Orkes and the open-source community, Conductor simplifies complex workflow management by handling retries, failures, state persistence, and long-running process execution automatically. The platform enables developers to orchestrate AI agents, APIs, human approvals, and microservices using flexible JSON-based workflows with dynamic runtime execution. Conductor supports durable execution, deterministic orchestration, workflow replayability, and horizontal scalability, making it suitable for enterprise-grade applications and mission-critical automation. It offers polyglot worker support across languages such as Java, Python, JavaScript, Go, C#, Ruby, and Rust, allowing teams to integrate workflows into virtually any technology stack.

Semantic Assistants support users in content retrieval, analysis, and development, by offering context-sensitive NLP services directly integrated in standard desktop clients, like a word processor, and web information systems, like a wiki.

The aim of ALIVE is to develop new approaches to the engineering of flexible, adaptable distributed service-oriented systems based on the adaptation of social coordination and organisation mechanisms.

JAVA based tool for easy and realtime monitoring (RTM) of data streams or groups of data streams. This tool makes it easy to monitor inherent distributed or multi-threaded applications like e.g. agent systems, financial data, logistics, RFID Systems

The aim of the CONTRACT project is to provide new innovative solutions which specifically help bridge the gap between the new large-scale applications in DBEs and the need for sound software and business guarantees for such systems.

The aim of the project is to build multi-agent distributed system for modeling the Instant Payment Flow concept. The system allows to set-up business money-transfer transactions with continuous flow of money depending on goods flow

Application of neural network to predict the future of stock exchange, aerospace ( ufo trajectory ), sound, image, noise, scientific or medical data. You need , by example, 100 days of a numeric data and the number of days to predict (by example 7 days).

multi-agent approach to traffic control: -3D visualization -XML-input for traffic networks -simulation progress control -basic performance statistics -delegate MAS -BDI based vehicles -pluggable behavior modules -pluggable coordination modules