AI Agents for a Data Scientist / ML — Page 49
veRL Agent Training
Multi-turn reinforcement learning training for long-horizon LLM and vision-language agents.
AgentDock
Build AI agents with configurable determinism, balancing creativity and reliability.
ToolUniverse: Democratizing AI Scientists
Build AI scientist systems from any LLM, integrating 1000+ scientific tools.
Learn Harness Engineering
A project-based course for building the environment, state management, verification, and control mechanisms that make AI coding agents work reliably.
AI Dev Tools Zoomcamp: AI-Native Software Engineering
A free, hands-on course on using AI developer tools to build, test, deploy, extend, and audit software without losing engineering discipline.
Agent Scripts — Shared Agent Instructions & Skills
Shared agent rules, reusable skills, and lightweight helpers for Codex and Claude Code.
DataHaven Decentralized Storage Network
AI-first decentralized storage secured by EigenLayer, offering verifiable storage for training data, models, and Web3 applications.
LangChain & LangGraph Agent Course
Build search, RAG, code-execution, and reflective agents through hands-on Python projects.
Agent Squad
Route each conversation turn to the right specialized agent while preserving context across the exchange.
AgentFlow
Train an in-system planner with Flow-GRPO for more reliable multi-tool, long-horizon reasoning.
ADK Go
A code-first Go toolkit for building, evaluating, orchestrating, and deploying sophisticated AI-agent workflows.
Hephaestus
A development framework where agents discover, create, and coordinate the work as they go.
RecursiveMAS
A recursive latent-state framework for training and evaluating collaborating role-specific models.
Agent Network Protocol (ANP)
An open protocol for agent communication, defining identity, discovery, negotiation, and secure messaging for the Agentic Web.
Tutti — Real-time shared workspace for people and agents
A real-time shared workspace for your AI agents, where context, files, apps, and tasks stay connected—so agents build in tune, not in silos.
Code2Video: Code-Centric Educational Video Generator
Generate high-quality educational videos from knowledge points using executable code as the medium.
MemoryOS: A Memory Operating System for Personalized AI Agents
A hierarchically structured memory operating system for personalized AI agents, delivering coherent, context-aware interactions with large gains on the LoCoMo benchmark.
Strands Agents
A Python and TypeScript SDK for building and controlling production AI agent harnesses end to end.
DemoGPT AgentHub
Generate Streamlit apps from prompts and compose Python agents with tools and RAG.
agentUniverse
Build domain-aware multi-agent applications with configurable collaboration patterns.
MiroFish Offline
Simulate document-driven public reaction and social dynamics entirely on local infrastructure.
Obsidian Skills
Teach your agent to work with Obsidian Markdown, Bases, JSON Canvas, and CLI.
Claude Code Tips & Workflows
40+ practical tips for Claude Code, from basics to advanced, including a custom status line and containerized self-running demos.
Functionary: Conversational LLM for Controlled Tool Use
Functionary is a language model that can interpret and execute functions/plugins, deciding when to call tools and understanding their results.