Gumloop vs Kilo AI
A detailed comparison to help you choose between Gumloop and Kilo AI.
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Verdict: Kilo AI wins
Kilo AI scores 4.2/5, edging out Gumloop at 3.6/5. Developers and engineering teams who want an open-source coding agent they can inspect and extend, with the freedom to switch between 500+ hosted models, their own API keys, or local models without changing tools.
Gumloop Build AI agents with no-code workflows and API integrations | Kilo AI Kilo.ai - AI coding agent | |
|---|---|---|
| Rating | 3.6 (1 review) | 4.2 (1 review) |
| Pricing Model | freemium | paid |
| Starting Price | Free tier available | Pricing varies |
| Best For | Teams that want non-engineers building AI-shaped automations — research, scraping, summarization — under centralized IT control and spend oversight. | Developers and engineering teams who want an open-source coding agent they can inspect and extend, with the freedom to switch between 500+ hosted models, their own API keys, or local models without changing tools. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | no codefree tier | — |
| Visit Gumloop → |
Gumloop
Pros
- + Fastest AI-flow building I tested: scrape-summarize-extract agent went up in ~40 minutes, with a model swap as a drop-down change
- + IT control features are real on Pro (agent-scoped connector policies, shared credentials, usage analytics) and org-wide on Enterprise
- + Unlimited agents, seats, and teams on Pro from $37/mo — no per-seat tax, unlike most rivals (gumloop.com/pricing)
- + Hosted scraping node handled a JS-heavy site my plain HTTP attempt failed on
- + Well funded for its age: $17M Series A (Nexus) and a $50M Series B, with named customers like Shopify and Instacart
Cons
- - No free plan — 14-day trial only — and the 8% orchestration fee on top of credits makes heavy usage hard to predict
- - Credit costs vary by node and model; my scrape-heavy flow cost roughly triple the targeted version before I tuned it
- - Shallow for engineers: no code steps with real package access, no self-hosting (Enterprise VPC only), thin connector breadth versus Zapier/Make
- - Agent memory is flow-scoped — persistent cross-run context is early despite the self-improving-agent marketing
- - Pro concurrency caps (5 workflow runs, 25 agent chats) queued my bulk jobs; throughput is not the strong suit yet
Kilo AI
Pros
- + Model inference is billed at the providers' exact list prices with zero markup; the only surcharge is a 5% fee on card credit purchases (kilo.ai/pricing, checked October 2026)
- + Agent, extension, and CLI are MIT-licensed and fully readable on GitHub — 27,380 stars, 3,178 forks, TypeScript, built in the open (api.github.com/repos/Kilo-Org/kilocode)
- + Covers every surface I want: VS Code (1.66M Marketplace installs), JetBrains, CLI, cloud agents billed per second, PR code review, plus a beta desktop app and iOS companion
- + Request inspector shows context-window consumption and the full outgoing prompt per request — in my 12-file refactor session this made context degradation debuggable instead of mysterious
- + Bring-your-own-keys and local models (Ollama, LM Studio) mean the free platform plan is genuinely usable without paying Kilo anything for inference
Cons
- - Costs split across four ledgers — platform plan, inference, optional Kilo Pass subscription, and per-second cloud compute — which makes month-end reconciliation harder than competitors' single invoice
- - VS Code Marketplace rating is 3.89/5 from 217 reviews despite 1.66M installs, and the repo carries 534 open issues; the polish level trails the feature breadth
- - Release cadence borders on churn: multiple builds of 7.8.17 were pushed on a single day (23 October 2026), and the orchestrator agent is already deprecated
- - No built-in review agent inside the editor or CLI — code review is a separate cloud product at $0.33/hour (kilo.ai/docs)
- - Marketing contradicts itself on Auto Model ('smart model routing' versus 'Kilo does not have an auto model') and on developer counts (3M in Anaconda's release versus 5M+ on kilo.ai/cloud)
Frequently Asked Questions
Which is better, Gumloop or Kilo AI?▼
Kilo AI scores higher at 4.2/5 vs 3.6/5 for Gumloop, making it the better-rated option in our comparison.
What is the difference between Gumloop and Kilo AI?▼
Gumloop: Gumloop is a no-code builder for AI agents and automations, where teams connect models and apps on a visual canvas. It is aimed at companies that want non-engineers to build automations under IT control. Kilo AI: Kilo is an open-source AI coding agent for VS Code, JetBrains, the terminal and the cloud, with access to a wide range of models and your own API keys.
Is Gumloop or Kilo AI more affordable?▼
Gumloop starts at €0/mo, Kilo AI starts at €0/mo. Check the comparison table above for current pricing.
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