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

Awesome OpenClaw Use Cases is a community-curated repository that collects practical, real-world OpenClaw workflows and examples. It’s intended to help users and developers discover how people use OpenClaw to make life easier, providing inspiration and patterns that can be copied, adapted, and extended into new skills and automations. The repo acts as a living catalog of use cases rather than a standalone tool, enabling faster onboarding and idea discovery for building with OpenClaw.

Awesome OpenClaw Use Cases

awesome-openclaw-use-cases

Community list of real OpenClaw use cases and workflows to copy, adapt, and extend for personal and developer productivity.

memU is an open-source memory infrastructure for LLM applications and AI agents, designed for long-running, always-on assistants that need persistent, evolving memory. It organizes memories like a file system (categories as folders, memory items as files, cross-links as symlinks) and supports proactive behavior such as capturing user intent, predicting next steps, and injecting relevant memory into the agent’s context. memU aims to reduce token spend for continuous agents by caching insights and avoiding redundant LLM calls, and it includes companion components like a backend service (memU-server) and a web UI (memU-ui). In addition to the open-source framework, memU offers hosted APIs (Memory API / Response API) with usage-based pricing and a “start free” path.

memU

memu

Open-source agentic memory framework for 24/7 proactive AI agents with file-system memory, intention prediction, and lower token costs.

New API is an open-source LLM gateway and AI interface management system that aggregates multiple AI providers behind a unified, OpenAI-compatible API. It supports format conversion (OpenAI/Claude/Gemini-style), model and channel management, weighted routing and failover, rate limiting and quotas, token-based access control, and API call auditing. The platform includes dashboards for usage and cost analytics, and exposes management and model APIs (chat, completions, embeddings, rerank, moderation, images, audio, and video) to simplify building applications that rely on multiple model vendors.

New API

new-api

Open-source LLM gateway that unifies OpenAI/Claude/Gemini-style APIs with routing, quotas, billing, auditing, and usage analytics.

Bright Data Web MCP is an open-source Model Context Protocol (MCP) server that connects AI assistants to the live public web with built-in unblocking to avoid CAPTCHAs and rate limits. It provides tools for real-time web search, page fetching and scraping (including via Bright Data’s web unlocker), and optional browser automation for navigating and interacting with dynamic sites. It supports a free “Rapid” tier (limited toolset and monthly request allowance) and paid usage-based modes that unlock additional tool groups such as browser control and broader web data tooling. It can be used via Bright Data’s hosted MCP endpoint or run locally via an npm package.

Bright Data Web MCP

bright-data-web-mcp

MCP server that gives AI agents reliable web search, scraping, and browser automation with 5,000 free monthly requests.

Agent S is an open-source framework for building and running “computer use” GUI agents that can autonomously operate a computer through an Agent-Computer Interface. It’s designed to let an LLM plan and execute multi-step tasks by observing the screen and taking actions (e.g., clicking, typing, navigating) on supported platforms (Linux, macOS, Windows). The project provides a CLI to run the agent, supports multiple model providers (including OpenAI, Anthropic, Gemini, OpenRouter, and vLLM), and recommends pairing a main LLM with a separate grounding model for UI understanding. Agent S also includes evaluation assets and reports results on established computer-use benchmarks such as OSWorld.

Agent S

agent-s

Open-source GUI agent framework that lets an LLM use your computer like a human via an Agent-Computer Interface.

Desktop Commander MCP is an open-source Model Context Protocol (MCP) server that gives AI clients controlled access to your local development environment. It enables running terminal commands with streaming output and interactive process/session management, plus full filesystem operations like reading/writing files, creating directories, and recursive search. It includes diff-based “surgical” edits and pattern-based replacements, powered by ripgrep for fast repo-wide search. The tool also adds native Excel support (read/write/edit/search) and PDF tooling (extract text, create PDFs from markdown, and modify PDFs), along with comprehensive audit logging of tool calls for traceability.

Desktop Commander MCP

desktop-commander-mcp

MCP server that lets AI run terminal commands, manage processes, and search/edit files (diff-based) with Excel/PDF support and audit logs.

FLAMEHAVEN FileSearch is an open-source, self-hosted RAG document search engine you can run locally (Docker or Python). It supports multi-format ingestion (PDF, DOCX, TXT, MD) and provides keyword, semantic, and hybrid search modes (with typo correction). Results include source attribution, and the API includes production features like API-key authentication with permissions, rate limiting, audit logging, batch search, and an admin dashboard. It integrates with Google Gemini (via GEMINI_API_KEY) and supports a lightweight local store plus optional components such as Redis caching and Postgres/pgvector for higher-performance deployments.

FLAMEHAVEN FileSearch

flamehaven-filesearch

Self-hosted RAG file search engine (FastAPI) with keyword/semantic/hybrid modes, citations, API keys, and Docker quickstart.

Gobii is a platform for creating “digital workers” (always-on browser agents) that can perform repetitive web-based tasks automatically. You can create custom workers or spawn pretrained ones, run them on schedules, and connect them to workflows through triggers and APIs. For developers, Gobii provides a cloud browser automation stack (persistent agents/sessions, webhooks, and integrations) and also supports self-hosting through its open-source codebase for teams that want more control over infrastructure and data residency.

Gobii

gobii

Always-on browser workers that automate web tasks via schedules, triggers, and API—run in the cloud or self-host open source.

Together Open Data Scientist is an open-source AI data analysis agent built around the ReAct (Reasoning + Acting) pattern. It automates common end-to-end data science workflows: loading and exploring datasets, running EDA, engineering features, training baseline models, creating plots, and writing a structured report. The agent can execute Python code either locally (via Docker/internal execution) or in the cloud using Together Code Interpreter (TCI), and it supports uploading a data directory for analysis. It’s positioned as experimental software—outputs should be reviewed and validated—making it most useful for exploration, learning, and fast first-pass analysis rather than unattended production analytics.

Together Open Data Scientist

together-open-data-scientist

Open-source data scientist agent that runs Python (locally or in the cloud) to explore datasets, build models, and generate detailed analysis reports using the ReAct framework.

Kilo Code is an open-source AI coding assistant designed to run inside VS Code, JetBrains IDEs, and web-based editors. Built as a full coding agent, it can plan features, generate new code from natural language, refactor and debug existing projects, run terminal commands, and even automate the browser with user approval. Kilo Code combines ideas from tools like Cline and Roo into a unified workflow with dedicated modes such as Architect, Coder, and Debugger. It connects to 400+ frontier and open models through OpenRouter and similar providers, offers optional hosted credits so developers can start without managing their own API keys, and supports an MCP-style server marketplace for extending the agent with custom tools. This makes it a flexible choice for individual developers and teams who want powerful AI assistance while keeping configuration transparent and community-driven.

Kilo Code

kilo-code

Open-source AI coding assistant for VS Code and JetBrains that plans, writes, and debugs code with multi-model support.

ComfyUI is a free, open-source, node-based platform for generative AI. Creators assemble visual workflows to produce images, video, 3D, and audio, extend functionality with custom nodes, and run everything locally for speed, control, and cost savings. The Comfy Org ecosystem includes a desktop app, a registry for custom nodes, continuous-integration testing, and an announced Comfy Cloud beta to run workflows in the browser without setup.

ComfyUI (Comfy.org)

comfyui-comfy-org

Open-source, node-based generative AI platform to build image, video, 3D, and audio workflows locally or in the cloud.

Wan2.2 is an open-weights family of large-scale video generative models released by the Wan-Video team as the successor to Wan2.1. It introduces expanded training data and architecture upgrades, offering multiple variants for text-to-video, image-to-video, video-to-video, and even speech-to-video generation. The models produce cinematic, higher-resolution clips with stronger temporal consistency and motion control, and are available under an Apache-2.0 license with runnable repos and Hugging Face checkpoints.

Wan2.2

wan2-2

Open-source video generation model family (5B/14B) for text/image/video-to-video, delivering 1080p clips with improved motion and control.

Open-Source AI Agents for "Research" Industry