dynamic-workflows

TypeScript AI agent orchestration framework with dynamic workflows. Describe the goal, not the graph: a coordinator plans the task DAG at runtime and runs it on any LLM (Claude, ChatGPT, Gemini, DeepSeek, or local models).

AI-native agent harness for coding workflows by python: multi-model LLM orchestration, stateful sessions, tool governance, traceable delivery, and provider routing for GPT, Claude, DeepSeek, Qwen, Kimi, GLM, and MiniMax.

An open-source graph engineering runtime that keeps orchestration in TypeScript and delegates semantic work to replaceable Agent runtimes.

Claude Code–style dynamic workflows for Pi: code-mode subagents with real model routing, journaled resume, git-worktree isolation, cost accounting, an interactive /workflows TUI, an /ultracode standing opt-in, and deep research.

Run Claude Code dynamic workflows on a local Codex (GPT) backend, plus an interactive run viewer

Codex-first Ultracode skill for dynamic coding workflows

AI Agent Skills, Loops and Dynamic Workflows for Security Auditing, Pentesting and Research

Build stateful agent workflows with typed outputs, reusable tools, session forks, and ordinary TypeScript.

Dynamic Workflows for hermes

Open Dynamic Workflows: TypeScript CLI runtime for Claude Code-style dynamic workflows across Codex, Claude Code, Gemini, Qwen, Kimi, and custom coding-agent CLIs.

Orchestrate Claude, Codex, Pi & other ACP agents in dynamic, durable workflows — survive crashes, pause/resume, and retry, all in TypeScript.

AI agent engineering meets system design: Claude Code dynamic workflows, loop engineering (bounded evaluator-optimizer gates) and runnable workflow scripts, plus real-world architecture case studies (Uber, Netflix, Stripe) and 15 engineering-blog deep dives, as Mermaid and draw.io diagrams.

An abstraction library for building domain-specific intelligent agents based on Large Language Models (LLMs). LLMAgent provides a core architecture and behavior definitions that simplify the development of specialized agents by leveraging the AgentForge framework for dynamic workflow orchestration.

A community-curated collection of real-world Claude Code Dynamic Workflows — multi-agent orchestration scripts that install as slash commands, shared by the people running them in production.

Open-source dynamic multi-agent workflows for AI coding agents - the script-as-orchestrator engine behind Claude Code dynamic workflows & ultracode, for OpenCode, Codex, Antigravity & VS Code. Local-first, bring your own model (Anthropic/OpenAI/Ollama), MIT.

AgentForge is a powerful and flexible signal-driven workflow framework designed for building intelligent, dynamic, and adaptive systems.

Evolving agent harnesses: a research program on how far N orchestrated calls of a small model can rival a frontier model. We evolve the harness (structure + prompts) with reflective optimizers + a verified-acceptance gate.

Visualize Claude Code dynamic workflows from your terminal — a fan-out→barrier→reduce DAG, a gantt timeline, live concurrency, and a self-contained interactive HTML report. Zero runtime deps.

Open-Source implementation of Claude dynamic workflows in opencode.

A multi-agent equity-analysis Claude Code Dynamic Workflow — analysts → bull/bear debate → trader → risk → PM, with deterministic Markdown + HTML export. Research only, not financial advice.