Discover AI agents built for Research: Comprehensive directory of solutions with open-source code verified by AI agency professionals focused on the Research sector.

Open-Source AI Agents for Research | AI Agent Store

Eidolon AI is an open-source platform designed to facilitate the development and deployment of AI agents within enterprise environments. It offers a pluggable Agent Software Development Kit (SDK) and a deployment server, allowing developers to create agent-based applications efficiently. The framework supports the integration of various Large Language Models (LLMs) and provides tools for building custom agent templates, managing agent-to-agent communication, and configuring built-in components. By leveraging Eidolon AI, organizations can streamline the creation of generative AI services, enhancing automation and operational efficiency.

Eidolon AI

eidolon-ai

An open-source framework enabling developers to rapidly build and deploy enterprise-grade AI agents as services.

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.

Teenage-AGI is an open-source Python project that enhances AI agents with memory retention and deliberative processing. Inspired by projects like BabyAGI and the research paper 'Generative Agents: Interactive Simulacra of Human Behavior,' it utilizes OpenAI's GPT-4 for language generation and Pinecone for vector-based memory storage. This architecture allows the agent to recall past interactions and 'think' before responding, leading to more coherent and contextually relevant conversations. Notably, the agent's memories persist across sessions, as they are stored in Pinecone's vector database.

Teenage-AGI

teenage-agi

An open-source AI agent that integrates memory and deliberation capabilities, enabling context-aware and thoughtful responses.

AIlice, developed by MyShell.ai, is an open-source, fully autonomous AI agent that functions as a 'text computer' with a Large Language Model (LLM) at its core. Inspired by JARVIS, AIlice is capable of executing a wide range of tasks, including thematic research, coding, system management, literature reviews, and complex hybrid operations. It dynamically creates an agent tree based on specific tasks, decomposing and executing them with high fault tolerance. AIlice supports both open-source models and commercial models like GPT-4, offering flexibility and extensibility for various applications.

AIlice

ailice

A fully autonomous, general-purpose AI agent designed to perform complex tasks through dynamic multi-agent collaboration.

Automata is an evolving, fully autonomous, self-programming artificial intelligence system that leverages large language models (LLMs) like GPT-4 and a vector database to document, search, and write code. Inspired by the concept that code functions as a form of memory, Automata aims to develop real-time capabilities, paving the way for the creation of artificial general intelligence (AGI). The platform facilitates the execution of tasks using the OpenAI engine, where autonomous agents interpret instructions, perform actions, and report outcomes. By integrating with the OpenAI API, Automata manages interactions with various tools to generate responses, thereby enhancing the efficiency and effectiveness of AI-driven coding and research.

Automata

automata

An open-source, self-programming AI system utilizing large language models to autonomously document, search, and write code, advancing towards artificial general intelligence.

GPT Researcher is an open-source platform designed to automate the research process by deploying AI agents capable of performing extensive online investigations. Utilizing large language models (LLMs) such as GPT-4, it generates research questions, employs crawler agents to gather information from over 20 web sources per task, and synthesizes the data into coherent reports. This approach addresses challenges related to misinformation, speed, determinism, and reliability by enabling parallelized agent work, resulting in stable performance and increased efficiency. GPT Researcher aims to empower individuals and organizations by providing accurate, unbiased, and factual information through AI-driven research.

GPT Researcher

gpt-researcher

An open-source autonomous agent that conducts comprehensive online research by scraping, filtering, and aggregating information from multiple web sources to generate detailed reports.

Devika AI is an advanced open-source AI software engineer designed to interpret complex human instructions, decompose them into actionable steps, perform relevant research, and produce code to achieve defined goals. Utilizing large language models such as Claude 3, GPT-4, GPT-3.5, and local LLMs via Ollama, Devika AI offers robust planning and reasoning capabilities. It serves as a competitive alternative to Devin by Cognition AI, aiming to democratize intelligent software development tools. Key features include contextual keyword extraction, seamless web browsing for information gathering, multilingual code generation, and a conversational interface for natural language interactions.

Devika AI

devika-ai

An open-source AI software engineer capable of understanding high-level human instructions, conducting research, and generating code to accomplish specified objectives.

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.

GenSphere is an open-source, Python-based declarative framework designed to simplify the development of applications utilizing Large Language Models (LLMs). By allowing developers to define workflows through simple YAML files, GenSphere breaks down applications into graphs where each node represents a function call, an LLM API call, or another graph. This structure provides low-level control, enhances portability, and fosters community collaboration by enabling the sharing and composition of reusable components. GenSphere aims to streamline the creation of complex LLM applications, making them more accessible and manageable.

GenSphere

gensphere

A declarative framework for building Large Language Model (LLM) applications, offering reusable and composable components.

Outlines is an open-source Python library designed to facilitate the development of structured prompts for large language models (LLMs). It enables developers to encapsulate prompt templates within 'template functions,' allowing for a clear separation between prompt logic and general program logic. This modular approach enhances code readability and maintainability, making it easier to build and manage complex prompts. Outlines supports the integration of various LLMs and provides tools for composing and executing prompts, streamlining the process of generating structured text outputs.

Outlines

outlines

A Python library that simplifies the creation and management of structured prompts for large language models.

Lagent is an open-source framework developed by InternLM that enables users to efficiently create agents powered by large language models (LLMs). Inspired by PyTorch's design philosophy, Lagent offers a clear and intuitive workflow, allowing users to focus on creating layers and defining message passing between them in a Pythonic manner. The framework supports various LLMs, including API-based models like GPT-3.5/4 and open-source models such as LLaMA 2 and InternLM. Lagent also provides typical tools to augment LLMs, facilitating the development of complex multi-agent applications.

Lagent

lagent

A lightweight open-source framework for building large language model (LLM)-based agents.

Open-Source AI Agents for "Research" Industry