Kilo AI vs Flowise
A detailed comparison to help you choose between Kilo AI and Flowise.
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Verdict: Kilo AI wins
Kilo AI scores 4.2/5, edging out Flowise at 4.0/5. 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.
Kilo AI Kilo.ai - AI coding agent | Flowise Visual LLM app builder with drag and drop | |
|---|---|---|
| Rating | 4.2 (1 review) | 4.0 (1 review) |
| Pricing Model | paid | freemium |
| Starting Price | Pricing varies | Free tier available |
| Best For | 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. | Developers and technical teams who want visual control over LLM pipelines and are happy to self-host or manage their own production runtime. |
| Free Tier | ||
| API Access | ||
| Team Features | ||
| Open Source | ||
| Tags | — | open sourceno code |
| Visit Flowise → |
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)
Flowise
Pros
- + Node canvas gives LangChain-level control over retrieval, agents, and tools without writing code — my retrieval agent took one sitting
- + Self-host path is real: npm or Docker, minutes to localhost:3000, Apache 2.0 core license
- + Human-in-the-loop review nodes make the agents-propose-humans-release pattern easy to wire
- + Wide model and vector-store support (100+ LLMs, embeddings, vector DBs per the vendor) keeps you off proprietary lock-in
- + Evaluations, metrics, and run observability are built into the builder rather than bolted on
Cons
- - Node picker presumes you understand embeddings, chains, and retrieval strategies — beginners are lost quickly
- - Production self-host means doing your own persistence, secrets, queue/workers, and uptime — time not visible in the free price
- - Enterprise identity and permission features live under a commercial license inside the same repo
- - Cloud free tier (100 predictions/month) is too small to judge real performance
- - Fast-moving node surface and uneven community templates mean upgrades can break flows
Frequently Asked Questions
Which is better, Kilo AI or Flowise?▼
Kilo AI scores higher at 4.2/5 vs 4.0/5 for Flowise, making it the better-rated option in our comparison.
What is the difference between Kilo AI and Flowise?▼
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. Flowise: Flowise is an open-source visual builder for LLM applications and agents, wiring models, tools and data sources together on a canvas.
Is Kilo AI or Flowise more affordable?▼
Kilo AI starts at €0/mo, Flowise starts at €0/mo. Check the comparison table above for current pricing.
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