AI Agents for a Data Scientist / ML — Page 16
CocoIndex
An incremental data framework that keeps context stores for AI applications fresh by recomputing only changed data.
K-Dense BYOK
A local research workspace where Kady executes scientific analysis, evidence review, and report generation from plain-language requests.
Kun Workspace
A shared desktop and terminal workspace for taking local project tasks through reviewable, testable delivery.
Ref MCP
Search and read technical documentation for coding agents with less irrelevant context.
Screenpipe
Record your screen 24/7 locally and turn real work into searchable memory for your AI agents.
Agent Skills for Context Engineering
A comprehensive open collection of skills for context engineering, multi-agent architectures, and production agent systems.
Gas Town — Multi-Agent Workspace Manager
Orchestrate multiple AI coding agents with persistent work tracking via git, scaling to 20-30 agents across Claude Code, GitHub Copilot, and more.
NVIDIA Agent Skills
Official NVIDIA-verified skills for coding agents to run Physical AI, robotics, simulation, CUDA, and RAG workflows end-to-end.
Expo Skills – Official AI Agent Skills for Expo
Official AI agent skills from the Expo team for building, deploying, upgrading, and debugging Expo apps.
Claude Code Academic Workflow Template
A ready-to-fork Claude Code template for academics using LaTeX/Beamer + R, with multi-agent review, quality gates, adversarial QA, and replication protocols.
Agentica — AI Function Calling Framework
Turn TypeScript classes, Swagger/OpenAPI documents, or MCP servers into powerful AI agents without writing JSON Schema by hand.
Keploy API Testing & Mock Platform
Auto-generate API tests and mocks from real user traffic with zero code changes — faster than unit tests.
Forge: Reliability Layer for Self-Hosted LLM Tool Calling
A Python framework that adds guardrails to self-hosted LLM tool calling, boosting multi-step agentic workflow success rates.
Deep Code CLI
A terminal AI coding assistant optimized for deepseek-v4, with deep thinking, reasoning effort control, Agent Skills, and MCP support.
Agentic Coding Flywheel Setup (ACFS)
One command to transform a fresh Ubuntu VPS into a full multi-agent AI development environment in about 30 minutes.
NeMo Data Designer
Generate high-quality synthetic data from scratch or from your own seed data.
Thunderbolt
The AI you control: choose your models, own your data, and eliminate vendor lock-in.
RepoBrain – Repo Intelligence Engine
Give your repo a brain: ChatGPT for your codebase, works across Claude Code, Cursor, Codex, Windsurf, and more.
Paseo
One interface to orchestrate multiple coding agents (Claude Code, Codex, Copilot, OpenCode, Pi) from desktop and mobile.
BrowserSkill
Let AI agents use your real, logged-in browser without interrupting your work.
Tongyi DeepResearch
An open model and inference system for long-horizon web research, evidence gathering, and research question answering.
Claude Context — Semantic Code Search MCP for AI Coding Agents
Make your entire codebase the context for any coding agent with semantic code search.
Email Agents From Scratch
Build an email assistant with triage, approval checkpoints, evaluation, and persistent memory.
AI-DLC Workflows
One harness-neutral core, native across major AI coding agents, turning AI agents into verifiable, self-correcting engineering workflows.