Wise Agents offers a comprehensive, searchable catalog of AI agent frameworks and platforms. It features filtering by category, programming language, license type, and more to help users zero in on the right tool. Each agent entry includes a detailed profile, key capabilities, GitHub and documentation links, and community ratings. The site is regularly updated through community contributions, ensuring the latest agent releases and developments are always available in one centralized resource.

Java Action Interpolate is a specialized Java library designed to integrate with the LightJason multi-agent framework. It provides a suite of interpolation algorithms, including linear, polynomial, and spline methods, enabling agents to transition between states and actions fluidly. The module offers configurable interpolation parameters, hooks into the LightJason action lifecycle, and supports custom data types. By incorporating Java Action Interpolate, developers can eliminate jarring behavior jumps, enhance simulation fidelity, and simplify the implementation of smooth agent movements and decision-driven behaviors within distributed or simulation environments.

AgenticRAG provides a modular architecture for creating autonomous agents that leverage retrieval-augmented generation (RAG). It offers components to index documents in vector stores, retrieve relevant context, and feed it into LLMs to generate context-aware responses. Users can integrate external APIs and tools, configure memory stores to track conversation history, and define custom workflows to orchestrate multi-step decision-making processes. The framework supports popular vector databases like Pinecone and FAISS, and LLM providers such as OpenAI, allowing seamless switching or multi-model setups. With built-in abstractions for agent loops and tool management, AgenticRAG simplifies development of agents capable of tasks like document QA, automated research, and knowledge-driven automation, reducing boilerplate code and accelerating time to deployment.

Agentic Framework is a versatile, open-source framework designed to streamline the creation of autonomous AI agents that leverage large language models and MongoDB. It equips developers with modular components for managing agent memory, defining toolsets, orchestrating multi-step workflows, and templating prompts. The integrated MongoDB-backed memory store enables agents to maintain persistent context across sessions, while pluggable tool interfaces allow seamless interaction with external APIs and data sources. Built on Node.js, the framework includes logging, monitoring hooks, and deployment examples to rapidly prototype and scale intelligent agents. With customizable configuration, developers can tailor agents for tasks such as knowledge retrieval, automated customer support, data analysis, and process automation, reducing development overhead and accelerating time-to-production.

Blue Agent serves as a comprehensive toolkit for constructing AI-driven agents in Node.js. It enables developers to implement chain-of-thought prompting to improve reasoning, integrate external tools and APIs for enriched functionality, and maintain conversation memory for context retention. The framework features a planning engine that sequences tasks, an execution module to perform actions, and built-in logging to track agent decisions. Developers can define custom tool interfaces, orchestrate multi-step workflows, and leverage function calling to interact with services. Blue Agent's modular architecture allows seamless extension with plugins and supports debugging tools for observing agent behaviors, making it ideal for building advanced chatbots, autonomous assistants, and automated pipelines.