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Agentic Flow is a platform for creating, managing, and executing AI workflows.

A standalone workflow spun off from [Agently](https://github.com/Maplemx/Agently), featuring minimal third-party dependencies (e.g., json5).

Enterprise-Grade Workflow Orchestration for Python

Run a prompt through a LangChain (system + human) chain over Gemini on Vertex AI; optional LangSmith tracing.

AI-driven UI/UX automation & testing. Drives any software through its real UI (web, desktop, or pixels) — no target-app API required.

A chat plugin for Agent TestTest

Closed-loop automated ML experiment engine driven by Claude Code (editor) and Google Antigravity CLI (evaluator), with git-based state decisions, persistent agent sessions, context-rotation memory, an AST code graph and a temporal experiment knowledge graph.

Data science and LLM work from a notebook, without writing much code. The LLM writes the query and the words; a deterministic engine computes the answer.

AI-driven security audits — full-repo or diff/PR-scoped — for Claude Code, Gemini CLI, Cursor, and GitHub Copilot. Profiles the repo, designs tailored investigation lenses, runs them, verifies every finding, adversarially reviews high-impact ones. Install

Scaffold platforms, services, and AI agent wiring (Cursor/Claude) for YJ architecture repos.

Agent-oriented finite-element workflow tools built on DOLFINx/PETSc.

git diff for your agent's context window — a context-window debugger for LLM agents

git time-travel for any AI coding agent — undo a bad Codex/Claude/aider session in one command.

The dotagents CLI: install and manage a portable ~/.agents config for AI coding agents

The code for the book 'An Illustrated Guide to AI Agents'

A easy way to create structured AI agents

The context engine for AI coding agents - reduce tokens by 50-70%

Local-first multi-agent coding session archive tooling — discover, export, and baseline your AI coding sessions

Multi-agent code audit for Claude Code in which no finding reaches your code unverified

Functional coverage and constrained-random verification for AI agents.