AI Agents for a Data Analyst — Page 2
optim-agent
LLM coding agents as your hyperparameter optimizer: they read your code, reason about parameter semantics, propose trials, and record measured objective results.
socai
A local research agent that actually reads social media: it drives your signed-in Chrome like a researcher would — searching, reading posts and comments, and returning structured results.
Vibe-Trading
A personal trading agent that connects market data, research workflows, and backtesting.
ktx — Context layer for data agents
A context layer that teaches agents to query your data warehouse accurately, with approved metrics and full business context.
Bright Data MCP
Search, scrape, extract, and automate the public web from MCP-compatible AI clients.
Relax Omni-Modal RL Engine
An asynchronous distributed reinforcement-learning engine for post-training text, vision, and audio models.
EDSL (Expected Parrot Domain-Specific Language)
A Python DSL for designing, running, and analyzing AI-powered surveys and experiments with large numbers of AI agents and LLMs, simulating social science and market research.
Academic Commercialization Assessment Agent
An evidence-constrained agent that assesses the commercialization potential of research topics: deterministic retrieval, a six-stage LLM workflow, and an auditable, cited scorecard.
Jupyter AI
Bring ACP-compatible AI agents into computational notebook workflows in JupyterLab.
Hiring Agent Resume Scorer
Turns resume PDFs, GitHub signals, and role-specific rubrics into evidence-backed scores.
CAMEL Multi-Agent Framework
A Python framework for multi-agent collaboration, simulation, and synthetic-data generation.
DBHub Database MCP Gateway
Connect MCP clients to multiple SQL databases without crowding their context windows.
XScientist
Turn one idea into a Git-like research history that is inspectable, reproducible, and reversible — evidence you can audit end to end.
Flint Chart Language
A semantic chart language that helps AI agents produce polished, editable visualizations across multiple backends.
Business Analytics Agent
Ask questions in plain language and receive SQL-backed charts and business insights.
Station Research Environment
Coordinate autonomous agents in a shared research environment to run scored experiments and build a scientific record.
Luxas Research Colleague
Turns a research question into a cited, illustrated, compiled LaTeX manuscript through a file-backed multi-agent workflow.
Vibe-Research: Personal AI Investment Research Dashboard
An open personal AI investment research agent for China A-shares (plus US/HK stocks) — aggregates market data and plugs into your own AI model for analysis.
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.
Potato Annotation Platform
A self-hosted workspace for multimodal annotation, agent evaluation, and qualitative research.
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.