flow logo
flow
★ 27
vs
omk logo
omk
★ 148

flow vs omk

flow: Aixle Flow provides a team-level control plane for AI coding agents, addressing challenges like visibility, cost tracking, and consistent setup when multiple team members use agents. It offers a Kanban board, DAG workflow engine, and container-isolated execution to make AI agents usable by teams without opening a terminal.; omk: OMK, or Open Multi-Agent Kit, provides a provider-neutral coding-agent CLI and a multi-agent control plane. It aims to scope work, route appropriate agents, and verify every release for reliable engineering outcomes.

01

TL;DR

flow logo
flowMulti-Agent · ★ 27

Managing and orchestrating AI coding agent tasks across a development team.

omk logo
omkMulti-Agent · ★ 148

Orchestrating complex coding tasks and multi-step software development projects using collaborative AI agents.

02

Side-by-Side Comparison

Field
flow logoflow
omk logoomk
Category
Multi-Agent
Multi-Agent
Stars
★ 27
★ 148
License
Apache-2.0
MIT
Install Command
git clone https://github.com/AixleHQ/flow.git && cd flow && cp .env.example .env.development && make setup
npm install -g open-multi-agent-kit --ignore-scripts
Updated
1d ago
1d ago
Open Source
Yes
Yes
Tags
AI Agent Management, Workflow Orchestration, Containerization
Multi-Agent, Coding Agent, Orchestration
03

Features

flow logoflow
01Kanban board with column-workflow bindings to trigger agent runs.
02DAG workflow engine supporting retries, approval gates, and parallel steps.
03Container-isolated execution for various AI coding agents (e.g., Claude Code, Cursor CLI).
04Per-session cost tracking for agent runs, displaying tokens and cents.
05Leverages Temporal for durable, long-running agent execution.
omk logoomk
01Multi-agent execution with bounded DAGs and owned paths to prevent conflicts and manage resources.
02Verifiable outcomes using acceptance predicates backed by fresh command evidence, ensuring task completion is genuinely confirmed.
03Provider-neutral LLM integration allowing flexible routing to various models like Codex, Claude, Grok, and local providers.
04Durable goals and session recovery from checkpointed states, enabling resilience and replayability for interrupted workflows.
05OS-level sandboxing for local bash operations, restricting writes to owned paths and disabling network access by default for enhanced security.
04

Use Cases

flow logoflow
↳Managing and orchestrating AI coding agent tasks across a development team.
↳Tracking the activities, costs, and outputs of AI agents for team visibility and auditing.
↳Standardizing the setup and consistent usage of AI agents within a team.
↳Automating complex coding workflows by linking Kanban board card movements to agent actions.
omk logoomk
↳Orchestrating complex coding tasks and multi-step software development projects using collaborative AI agents.
↳Ensuring code quality and correctness by automatically verifying agent-generated code against defined build, type, test, and audit gates.
↳Building resilient AI-driven workflows that can recover from failures and continue tasks from where they left off.
↳Managing costs and performance by dynamically routing tasks to different LLM providers based on efficiency or specific capabilities.
↳Securely executing untrusted agent code by running commands within isolated, sandboxed environments to mitigate security risks.
FAQ

FAQ

What is the difference between flow and omk?
Both flow and omk are in the Multi-Agent category. flow has 27 stars, while omk has 148 stars.
Which is better, flow or omk?
The best choice depends on your use case. Choose flow if Managing and orchestrating AI coding agent tasks across a development team., and omk if Orchestrating complex coding tasks and multi-step software development projects using collaborative AI agents..
Is flow free or open source?
Yes, flow is open source on GitHub (Apache-2.0).
Is omk free or open source?
Yes, omk is open source on GitHub (MIT).
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