Data Science & ML AI Agents
Compare the best open-source AI agents for data science & ML. Models, RAG pipelines, embeddings and datasets. Ranked by GitHub stars, with install commands, what each one can touch and scan reports where available.
Trulens
Evaluation and Tracking for LLM Experiments and AI Agents
Second Brain AI Assistant Course
Learn to build your Second Brain AI assistant with LLMs, agents, RAG, fine-tuning, LLMOps and AI systems techniques.
Datachain
The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure
Plexe
✨ Build a machine learning model from a prompt
Hcaptcha Challenger
🥂 Gracefully face hCaptcha challenge with multimodal large language model.
Future Agi
Open-source, end-to-end platform for evaluating, observing, and improving LLM and AI agent applications. Tracing · Evals · Simulations · Datasets · Gateway · Guardrails. Self-hostable. Apache 2.0.
Agentset
The open-source RAG platform: built-in citations, deep research, 22+ file formats, partitions, MCP server, and more.
Ante
Ghost in your shell. Ante is a self-contained agent harness with a highly optimized core. It works like Claude Code or Codex, with none of their dependencies or model constraints.
Langchainrb
Build LLM-powered applications in Ruby
Full Stack AI Agent Template
Full-stack AI app generator — FastAPI + Next.js with AI Agents, RAG, streaming, auth, and 20+ integrations out of the box.
ToolUniverse
Democratizing AI scientists with ToolUniverse
Rag From Scratch
Demystify RAG by building it from scratch. Local LLMs, no black boxes - real understanding of embeddings, vector search, retrieval, and context-augmented generation.
Aideml
AIDE: an LLM agent for machine learning engineering - the research Weco grew out of. Referenced in OpenAI MLE-bench.
PhoneClaw
PhoneClaw turns phones into local AI agent runtimes with on-device models, native mobile Skills, LiveLand, and optional Mac Gateway inference.
GroundingLMM
[CVPR 2024 🔥] Grounding Large Multimodal Model (GLaMM), the first-of-its-kind model capable of generating natural language responses that are seamlessly integrated with object segmentation masks.
AgileRL
The complete post-training stack for LLMs, plus RL for any problem. SFT, DPO and multi-turn agentic RL, with evolutionary hyperparameter optimization built in.
AI Bootcamp
Self-paced bootcamp on Generative AI. Tutorials on ML fundamentals, Ollama, LLMs, RAGs, LangChain, LangGraph, Fine-tuning, DSPy & AI Agents (CrewAI), (Using ChatGPT, gpt-oss, Claude, Qwen, Gemma, Llama, Gemini)
Spark X2 6
Spark-x2.6 open model series. Pushing the Limits of Agentic Capabilities in On-Device Models
Agentic Data Scientist
An end-to-end Data Scientist
C2C
[ICLR'26] The official code implementation for "Cache-to-Cache: Direct Semantic Communication Between Large Language Models"
Pilotfish
Multi-model orchestration layer for Claude Code — the frontier model plans, cheaper models execute, verification guards quality. One-prompt install.
Relax
An Asynchronous Reinforcement Learning Engine for Omni-Modal Post-Training at Scale
XLAM
xLAM: A Family of Large Action Models to Empower AI Agent Systems
TravelPlanner
[ICML'24 Spotlight] "TravelPlanner: A Benchmark for Real-World Planning with Language Agents"
List refreshed November 15, 2026. Data comes from public GitHub repositories.