agentic-workflow

Imported as snapshot from GitHub: https://github.com/orra-dev/orra

A plan engine for dynamic planning and reliable execution of AI agent workflows.

Imported as snapshot from GitHub: https://github.com/run-llama/llama-agents

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

Imported as snapshot from GitHub: https://github.com/umputun/revdiff

TUI for reviewing diffs, files, and documents with inline annotations

Imported as snapshot from GitHub: https://github.com/qf-studio/pilot

#1 Terminal Benchmark 2.0 — AI that ships your tickets.

Imported as snapshot from GitHub: https://github.com/modu-ai/moai-adk

SPEC-First Agentic Development Kit for Claude Code — 24 AI agents + 52 skills with TDD/DDD quality gates, 16-language projects, 4-language docs. Go CLI, zero deps.

Imported as snapshot from GitHub: https://github.com/dagucloud/dagu

A local-first workflow engine built the way it should be: declarative, file-based, self-contained, air-gapped ready. One binary that scales from laptop to distributed cluster. Persistent Workflow Operator handles creating and debugging workflows.

Imported from GitHub: https://github.com/ag-ui-protocol/ag-ui

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.