A no-code AI agent platform from UK-based Kode AI Limited. Rather than a tool where you ask a question and get an answer back, it aims to embed agents — each given a role and a goal — into business processes themselves. Place agents on a visual builder and connect them, and you get a workflow in which several agents divide the work between them. It works across major models including OpenAI, Claude, Gemini, and xAI, and its distinguishing feature is a meta-agent layer above the individual agents that assigns tasks to departmental agents. Kode is registered as a GOV.UK AI services supplier and holds Cyber Essentials certification.
Key Features
- No-code visual builder: Set an agent’s role, goal, and available tools on screen, and the workflow is done. No programming knowledge is required, and the company positions it as being able to deploy agents in minutes
- Multi-agent workflows: Instead of handing everything to a single agent, you combine small agents split by purpose. Agents are deployed in isolation from each other, so a change to one is less likely to ripple through the whole system
- Memory that updates in real time (Inflow context-aware memory): Rather than relying only on fixed material loaded up front, agent memory is updated as task data and user input evolve. That makes it easier to hold context when the situation shifts partway through a long procedure
- Routing via a meta-agent layer: An orchestration layer sitting above the individual agents assigns tasks and decides how the workflow flows, based on organisation-wide goals and accumulated memory. Cross-departmental processing can be handled from a single entry point
- Execution across tools: Beyond browsing, research, and summarising, agents can write back to existing tools — updating records, for instance. Real portions of day-to-day work can be delegated with minimal setup
- Human review and intervention: You can see step by step what each agent is doing and why. You can ask questions along the way and step in where needed, so you don’t have to jump straight to full automation
Pricing
| Plan | Monthly price | What’s included |
|---|---|---|
| Try | Free | 7-day trial. Limited agent requests, 500 credits |
| Pro | $25/mo | 1,500 credits per month. Add-on credits at $30 per 2,000 credits |
| Ultra | $200/mo | 15x the usage of Pro, priority access to new features (MCPs, new models, and more) |
| Team / Enterprise | Contact sales | Custom team pricing, admin controls, dedicated support |
Credits are consumed in common across the major models — OpenAI, Claude, Gemini, xAI, and others. Plans can be changed at any time, with billing differences prorated. Starting the trial does not require a credit card.
Pricing is current as of August 2026. Check the official site for the latest.
Pros & Cons
✅ Pros
- Because everything is no-code, a team without development resources can prototype and operate agents on its own
- You are not locked into one model vendor; OpenAI, Claude, Gemini, and xAI can be used for different purposes
- Agent activity is surfaced step by step, and the design assumes a person checks before things move on
- A free trial is available, and you can try it for real without a credit card
- Public-sector track record and certifications (GOV.UK registration, Cyber Essentials) make it easier to consider for organisations with strict procurement requirements
⚠️ Cons
- Credit-based pricing makes the actual monthly cost hard to predict, since it depends on how you use it
- The free tier is only a 7-day trial; there is no ongoing free plan
- It is a relatively new service, and case studies and non-English material are still scarce
- Public information on the specific list of external tool integrations is limited, so whether it connects to your existing systems needs checking case by case
- Designing multi-agent systems takes some getting used to. Even with no code involved, the work of deciding how to divide responsibilities remains
Comparison with Similar Services
| Criteria | Kode | n8n | Relevance AI | Lindy |
|---|---|---|---|---|
| Core idea | Composing agents with roles | Node-based workflow automation | Building an AI team of role-based agents | Automating a work assistant |
| No-code level | Primarily no-code | No-code plus code nodes | Primarily no-code | Primarily no-code |
| Multi-agent | Coordinated by a meta-agent layer | Branch and connect flows manually | Supported | Supported |
| Model choice | OpenAI/Claude/Gemini/xAI and more | Choose your own connections | Multiple models | Multiple models |
| Human involvement | Built around visible actions and review | Check via execution logs | Approval steps configurable | Approval steps configurable |
n8n, with its longer history as an automation tool, has the edge on breadth of integrations and freedom. Kode, by contrast, centres on “placing agents with roles” rather than “drawing a flow,” which suits areas where the shape of the work is not yet fully settled.
Who Is It For
- Staff who want to push automation forward within their own department, without waiting on IT or a development team
- Companies ready to move past one-off chat use and station AI inside a defined business workflow
- Mid-sized and larger organisations that want cross-departmental processing handled through a single point of entry
- Teams that would rather not fix on one model, choosing among OpenAI, Claude, Gemini, and others by purpose
- Sites that prefer a cautious rollout — widening automation in stages, with people checking along the way
Summary
Kode combines a no-code visual builder with a meta-agent layer to station AI agents inside business processes. Memory that updates in real time, plus a design that lets you follow each action as it happens, suits a “grow it while running it” style rather than build-and-forget. Because credit-based pricing means costs shift with usage, a sensible approach is to measure how many credits your own work actually consumes during the 7-day trial before deciding on Pro or above.