Are There Open-Source AI Agents for Workflow Automation? (2026)
Yes. As of Aug 5, 2026, out of 297 AI agents for Workflow and multi-agent automation in the KanonAgent index, 73 are judged open-source (every judgement requires a source quote); this page covers the top 12 by real traction.
Yes, twelve open-source agents match this need. Open-source status means full code access, no licensing fees, and self-hosting, but demands engineering effort for deployment and maintenance.
Updated 2026-08-05 · 12 products · live data from KanonAgent
1. lobehub63 upvotes
LobeHub organizes multiple AI agents into scheduled teams for 24/7 workflows as a fully open operator.
2. adk-python21.0k upvotes
adk-python lets developers code, test, and deploy complex agents end-to-end with Google's open toolkit.
3. Upsonic7.9k upvotes
Upsonic provides a Python framework for building autonomous agents that execute workflow tasks, fully open-source.
4. agents-cli2.3k upvotes
agents-cli turns coding assistants into experts for building and deploying agents on Google Cloud, open CLI.
5. langflow117 upvotes
langflow offers a visual open interface to build, test, and deploy AI agents and multi-step workflows.
6. OpenHarness40 upvotes
OpenHarness runs an open harness with a personal agent to orchestrate autonomous multi-agent workflows.
7. n8n-mcp30 upvotes
n8n-mcp lets AI assistants auto-generate and deploy n8n workflows via open MCP server integration.
8. sim20 upvotes
sim acts as an open orchestration layer to build, deploy, and manage AI agent workforces at scale.
9. gascity7 upvotes
gascity supplies an open SDK to orchestrate multiple coding agents into reusable automated workflows.
10. huginn4 upvotes
huginn creates open monitoring agents that act autonomously on your behalf for ongoing automation.
Preloop delivers an open control plane for visibility, governance, and cost control over agent workflows.
12. claude-mem89.7k upvotes
claude-mem offers an open platform to build, orchestrate, and scale multi-step AI agent systems.
How to choose
Prioritize agents whose stack matches your runtime (Python, visual, or CLI). Expect setup and maintenance overhead since open-source tools shift ops work to you. Check GitHub activity and community size to avoid abandoned projects; test integration with your existing tools early.
What the data says
Computed from our index over the 12 products on this page; judgement fields are left blank where we cannot read them (methodology).
AutonomyL3 × 1 · L2 × 7 (8/12 judged)
Pricing modelfree × 1 · subscription × 1 (2/12 judged)
Prerequisitesopen source × 12 · self-hostable × 7
Common integrationsSlack × 4 · MCP (Model Context Protocol) × 4 · Discord × 2
In the index since2026-07-08 — 2026-08-05
Ranked by real traction from our index — not editorial picks, and no paid placement. Every judgement field requires a source quote; where we cannot read it, we leave it blank. Full criteria, thresholds and known limits: methodology.
FAQ
Which require the least coding to start?
langflow and n8n-mcp offer visual or assistant-driven setup with minimal code.
Are any production-ready without extra infra?
adk-python, Upsonic, and Preloop include deployment and monitoring features out of the box.