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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.

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.
How is this list ranked?
By real traction from our index (upvotes / MRR / growth rate, whichever the product actually has) — not editorial picks, and we do not accept paid placement. Sources: ProductHunt, Hacker News, GitHub, HuggingFace, Reddit, TrustMRR.
What is the inclusion bar?
A page is published only when at least 5 real products qualify. Judgement fields (autonomy, prerequisites, cost, integrations) all require a source quote — where we cannot read it, we leave it blank rather than guess.
How often is this updated?
Collection runs continuously; this page was regenerated on 2026-08-05. Every number is verifiable through our public read-only API: https://kanonagent.com/data

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