AI Agents for a Researcher — Page 2
Cube Core
A governed semantic layer for consistent analytics across BI, embedded applications, and AI agents.
Mnemosyne
Zero-cloud AI memory layer, SQLite-backed, single pure-Python dependency, works with any agent framework.
txtai: All-in-One AI Framework
All-in-one AI framework for semantic search, LLM orchestration, and language model workflows.
Telegram Search
Effortlessly export, back up, and fuzzy search your Telegram chat history, with vector semantic search and AI summaries.
Lumibot Trading Framework
Build, backtest, and run Python trading strategies with deterministic rules or AI trading teams.
Nocturne Memory: Long-Term Memory Server for MCP Agents
Give your AI persistent, cross-session memory with rollback and visual audit — a drop-in replacement for OpenClaw.
Dolt: Git for Data
A SQL database that you can fork, clone, branch, merge, push, and pull just like a Git repository.
DB-GPT: Open-Source Agentic AI Data Assistant
Connect your data, let AI write SQL and code autonomously, execute in sandboxes, and turn analysis into reports, insights, and action.
Video Use
Turn raw footage into a graded, subtitled, quality-checked edit through a coding agent.
WrenAI GenBI
Give AI agents governed business context to produce SQL, charts, and deployable dashboards.
Kedro
A toolbox for production-ready data science, enabling reproducible, maintainable, and modular pipelines.
Teable - AI Spreadsheet for Business
Turn your data into AI workflows and custom apps that 100% fit your business, with the simplicity of a spreadsheet and the power of PostgreSQL.
MiroFlow Research Agent
A multi-step research framework for complex questions, file analysis, and future-event prediction.
GPT Researcher
Deep-research agent for turning web and local sources into cited reports.
AutoResearchClaw
Turns a research topic into experiments, verified citations, and paper-ready LaTeX deliverables.
Deep Researcher Agent
An autonomous operations loop for planning, running, monitoring, and iterating deep-learning experiments on GPUs.
TradingAgents for A-Shares
A multi-agent investment-research framework tailored to China’s A-share market rules and data.
A-Share Full-Stack Data Toolkit
10-layer architecture, 47 data endpoints, 15 data sources, zero-auth — one skill file integrates A-share market, research, capital flow and more.
PyOD 3: Agentic Anomaly Detection Library
A comprehensive Python library for anomaly detection across tabular, time series, graph, text, image, and audio data, with 60+ detectors and agentic workflows.
Open Science Workbench
Local-first, model-agnostic AI research workbench for reproducible scientific discovery.
Airbyte
Move data between sources, warehouses, lakes, and AI applications through a catalog of 600+ connectors.
AutoResearch
Let coding agents autonomously improve nanochat training on a single NVIDIA GPU.
GenoMAS
A code-driven multi-agent framework for automated gene expression analysis workflows.
Scientific Agent Skills
Turn any AI agent into an AI Scientist: 159 ready-to-use skills and 100+ scientific databases covering biology, chemistry, medicine, and drug discovery.