Discover top Agentic AI solutions in the AI Agent Development Platforms category: Your comprehensive directory for free intelligent digital assistants and automation tools.

Agentic AI in "AI Agent Development Platforms" Category, free pricing

Mogoj AI is developing a unified and robust conversational agent platform designed to seamlessly integrate with users' workflows. The platform comprises several key components: 'Mitra,' a workspace facilitating collaboration between teams and agents for efficient task completion; 'Chetan,' an intuitive and composable framework for building scalable agents with customizable and decoupled architecture; 'Kriya,' a unified SDK and runtime for developing AI-ready applications, providing bundled functions and interfaces for real-world interactions; and 'Gyankosh,' a unified knowledge base with built-in retrieval-augmented generation (RAG) and vector store capabilities, allowing storage and querying of various documents, media, files, spreadsheets, and presentations. Mogoj AI aims to release the first stable build of this ecosystem in early 2026.

Mogoj AI

mogoj-ai

A comprehensive AI platform offering tools for building scalable conversational agents, AI-ready applications, and a unified knowledge base.

Nelima is an innovative AI platform designed to perform actions on behalf of users through natural language prompts. As a community-driven Large Action Model (LAM), it allows users to create and share custom actions, thereby expanding its capabilities collaboratively. Nelima can automate a wide range of tasks, such as sending emails, connecting applications via APIs, analyzing code, and scheduling appointments. By leveraging the collective contributions of its user base, Nelima continuously evolves, offering a versatile solution for workflow automation and task execution.

Nelima

nelima

A community-driven AI platform that executes tasks via natural language commands, enabling users to automate workflows and integrate custom actions.

FinRobot is an open-source AI agent platform developed by the AI4Finance Foundation, tailored for comprehensive financial analysis. It integrates multiple financially specialized AI agents, each utilizing Large Language Models (LLMs) to perform tasks such as market forecasting, financial document analysis, and trading strategy development. The platform is structured into four layers: Financial AI Agents, Financial LLM Algorithms, LLMOps and DataOps, and Multi-source LLM Foundation Models. This architecture enables FinRobot to provide advanced financial insights and decision-making support, democratizing access to sophisticated AI tools within the financial industry.

FinRobot

finrobot

An open-source AI agent platform designed to enhance financial analysis through specialized agents powered by Large Language Models (LLMs).

Project Oscar is an experimental open-source contributor agent architecture developed under the auspices of the Go project. It aims to enhance open-source software development by creating automated agents that assist in maintaining projects. These agents can handle tasks like processing incoming issues, matching questions to existing documentation, and interacting with contributors through natural language. The first prototype, Gaby ('Go AI bot'), operates within the Go issue tracker, providing relevant links and information to streamline project maintenance and reduce the workload on human maintainers.

Project Oscar

project-oscar

An open-source AI agent platform designed to assist in open-source project maintenance by automating tasks such as issue triage and documentation matching.

VisualAgents.ai offers a serverless, zero-install Progressive Web App that empowers users to create and implement AI agent workflows using low or no-code tools. Operating at the edge, it facilitates the development of powerful chatbots and agents to assist with critical tasks across various industries, including software, healthcare, manufacturing, business intelligence, scientific computing, and finance. The platform emphasizes privacy, dynamic code authoring, and seamless integration, providing a flexible solution for building reasoning applications that integrate with chat models like OpenAI's ChatGPT.

VisualAgents.ai

visualagents-ai

A serverless, zero-install platform enabling users to build and deploy AI agents with low or no-code tools, operating efficiently at the edge.

LM Studio is a user-friendly desktop application designed to facilitate the local execution of large language models (LLMs) on personal computers. Supporting macOS, Windows, and Linux, it allows users to download and run models such as Llama, Mistral, Phi, Gemma, and StarCoder directly on their devices without relying on cloud services. LM Studio offers a familiar chat interface for interacting with models and includes features like document chat, an OpenAI-compatible local server, and seamless integration with models from Hugging Face. By operating entirely offline, LM Studio ensures data privacy and security, making it an ideal solution for users seeking to leverage AI capabilities locally.

LM Studio

lm-studio

A cross-platform desktop application enabling users to discover, download, and run large language models (LLMs) locally on their devices.

E2B is an open-source infrastructure that enables developers to run AI-generated code within secure, isolated cloud sandboxes. Designed to support agentic and AI use cases, E2B offers a runtime environment where AI agents and applications can execute code safely. The platform provides SDKs in JavaScript and Python, allowing for seamless integration and control of sandboxes. E2B's sandboxes are lightweight virtual machines that start in under 200 milliseconds, offering a responsive environment for tasks such as AI data analysis, code generation evaluations, and running AI-generated applications. By facilitating secure and efficient code execution, E2B empowers developers to build and deploy AI solutions with confidence.

An open-source platform providing secure cloud sandboxes for executing AI-generated code, facilitating the development and deployment of AI agents and applications.

Ollama is a platform that allows users to run large language models (LLMs) directly on their local devices, providing access to models such as Llama 3.2, Phi 3, and Mistral. It supports macOS, Linux, and Windows, enabling users to download and run models without relying on cloud services. Ollama offers a command-line interface for precise control and supports third-party graphical user interfaces for a more visual experience. By running models locally, users maintain full data ownership, reduce latency, and avoid potential security risks associated with cloud storage.

Ollama

ollama

A platform enabling users to run large language models (LLMs) locally on their devices, offering access to models like Llama 3.2, Phi 3, and Mistral.

Langflow is an open-source, Python-based platform that provides a visual interface for creating applications utilizing large language models (LLMs). It offers a drag-and-drop environment where developers can design complex AI workflows by connecting various components such as prompts, language models, and data sources. Langflow supports integration with multiple LLMs and vector databases, facilitating the development of applications like chatbots, document analysis systems, and content generation tools. Its modular design promotes rapid experimentation and prototyping, making it accessible to both seasoned AI developers and newcomers.

Langflow

langflow

A visual framework for building applications powered by large language models (LLMs), enabling rapid prototyping and deployment.

Phala Network is a decentralized cloud computing platform that provides secure and verifiable computation services for Web3 applications. By leveraging Trusted Execution Environments (TEEs) and blockchain technology, Phala ensures data privacy and computational integrity. It enables developers to build decentralized applications (dApps) with enhanced security and scalability. Phala's AI-Agent Contract platform allows for the creation of autonomous AI agents operating within a decentralized framework, promoting unbiased decision-making and resilience. The platform supports integration with various blockchains and services, facilitating seamless data access and processing across multiple networks.

Phala Network

phala-network

A decentralized cloud computing platform offering confidential and verifiable computation for Web3 applications.

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