Kilocode
Open-source AI coding agent with 500+ models, zero markup, and multi-IDE support.
Kilo Code is a pragmatic, cost-conscious choice for developers who value model flexibility and open-source transparency. It shines for teams that want to bring their own keys or use open-weight models at zero markup. Cursor or Copilot may feel smoother for those wanting a guided, turnkey experience, but Kilo's control and pricing are hard to beat. The recent Anaconda acquisition (July 2026) could bring more resources, but the core value remains the same.
Verified 5d ago · liveness 77/100 · cite: rightaichoice.com/tools/kilocode
- Developers who want open-source AI coding with full model flexibility
- Engineering teams seeking agentic workflows with multi-IDE support
- Organizations that need transparent, markup-free AI inference
- Teams wanting to deploy always-on agents managed by platform
- Beginners who prefer a guided, no-code AI tool
- Users who need a fully hosted, turnkey AI assistant without CLI/IDE setup
- Teams that require offline-only operation without any cloud dependency
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Skip Kilo Code if you're a beginner who wants a guided, turnkey AI assistant without setting up CLI or managing API keys, or if you need offline-only operation without any cloud dependency.
Cloud compute for cloud agents is billed per second, starting at $0.60/hour, plus a $5 cloud minimum on some plans, which can add up if you run many agents.
Kilo's pricing is a win for individuals and small teams that want model flexibility without lock-in. Free platform access for individuals, Teams at $15/user/month, and BYOK means you can avoid AI inference markup entirely. Compared to Cursor (which bundles models at ~$20/mo) or GitHub Copilot ($10/mo), Kilo can be cheaper if you bring your own keys, but cloud compute and inference are separate, so heavy cloud usage can rival those costs.
In short
Kilocode — Open-source AI coding agent with 500+ models, zero markup, and multi-IDE support. Best for Developers who want open-source AI coding with full model flexibility, Engineering teams seeking agentic workflows with multi-IDE support, Organizations that need transparent, markup-free AI inference. Free to start; paid plans from $15/mo.
What people actually say about Kilocode — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
67 mentions across 5 sources (Hacker News, YouTube, Product Hunt, GitHub, Lemmy) · researched Jul 29, 2026.
- +Unmatched model choice: supports 500+ models across 60+ providers.
- +Open-source (MIT) with full code auditability and transparency.
- +Multi-mode agents (Code, Architect, Debug, Custom) for tailored workflows.
- +Zero markup on AI inference via Kilo Gateway pay-as-you-go.
- +Session handoff across IDE, CLI, and cloud for seamless context.
- −Background npm downloads raise security and trust concerns.
- −Foundational code traced to leaked Anthropic files, ethical concern.
- −JetBrains integration may lack full feature parity with VS Code.
- −Many open GitHub issues (702) may indicate slow bug resolution.
- −CLI user experience less mature than Claude Code for some.
- • AI inference costs separate from subscription; using premium models via API can add up
- • Claude Opus requires separate Anthropic subscription not included in Kilo Pass
Viability Score
How well maintained and how widely used is Kilocode? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: August 2026
How we score →Key Features
- AI agent modes: Code, Architect, Debug, Custom
- Auto Model routing (Efficient, Frontier, Free)
- Session-aware routing in Efficient tier
- Cloud agents for long-running tasks
- Automated code review on pull requests
- Session handoff across IDE, CLI, and cloud
- Voice prompting in the IDE
- JetBrains native extension (IntelliJ, PyCharm, WebStorm)
- Kilo Gateway unified API for 500+ models
- Kilo for Slack integration
- Mobile app for Android and iOS
- Local model support via Ollama and LM Studio
- Model & Provider Access Controls (Enterprise)
- Skills system for custom capabilities
- Auto top-ups for credits
About Kilocode
Kilo Code is an open-source AI coding agent that works across VS Code, JetBrains IDEs, CLI, and cloud. It gives you access to 500+ models from 60+ providers with zero AI inference markup, meaning you can use frontier models, open-weight options, or bring your own API keys without paying extra. The agent includes specialized modes—Code, Architect, Debug, and Custom—so you can switch contexts without switching tools. Auto Model routing (Efficient, Frontier, Free) selects the best model strategy per task to balance capability and cost, with session-aware routing in the Efficient tier for smarter spend. Beyond the IDE, Kilo Code offers cloud agents for long-running tasks in isolated worktrees, an automated code reviewer for pull requests, and session handoff so you can start in the IDE, continue in the CLI, and finish in the cloud. The Kilo Gateway provides a unified API to all those models, and Kilo for Slack brings AI agents into team conversations. Voice prompting is available in the IDE, plus a mobile app for Android and iOS. The entire codebase is MIT-licensed, so you can audit, fork, or self-host it. Pricing separates platform access, AI inference, and cloud compute. Individuals use the platform free; Teams cost $15/user/month with usage analytics and shared agent modes; Enterprise adds SSO, audit logs, and private gateway. AI inference is billed separately: bring your own keys (BYOK), pay-as-you-go via Kilo Gateway at exact provider rates, or subscribe to Kilo Pass (from $19/mo) for bonus credits. Cloud compute is usage-based, starting at $0.60/hour for Docker or small agents. In July 2026, Anaconda acquired Kilo Code, potentially bringing new integrations and resources.
Behind the Verdict
Kilo Code stands out for its open-source, model-agnostic approach. Unlike Cursor or GitHub Copilot, which lock you into their model stacks, Kilo lets you choose from 500+ models—including frontier models, open-weight options, and your own keys—without any markup. The Auto Model routing is a standout feature: it automatically selects the best model for each task based on your budget and complexity, with session-aware routing in the Efficient tier to optimize spend. The multi-IDE support (VS Code, JetBrains, CLI) and session handoff mean you can start a task in the IDE, continue in the CLI, and finish in the cloud without losing context. Cloud agents and the automated code reviewer add real value for teams. However, the learning curve is steeper than turnkey tools like Cursor—you need to be comfortable managing API keys and model selection. Pricing is transparent, but cloud compute and inference are charged separately, which can surprise casual users. The recent Anaconda acquisition (July 2026) could bring enterprise features and integrations, but it also raises questions about long-term open-source commitment.
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Real-world workflow fit
Concrete scenarios for the personas Kilocode actually fits — and what changes day-one when you adopt it.
Use Kilo Code in VS Code with free models to generate and refactor code, leveraging Auto Model routing.
Outcome: Get AI assistance without paying anything, with the flexibility to switch to premium models when needed.
Adopt Teams plan, set up shared BYOK and agent modes, and use usage analytics to track adoption.
Outcome: Centralized billing and governance, with AI adoption score to measure ROI across the team.
Deploy Kilo with SSO, audit logs, and model access controls to meet compliance requirements.
Outcome: Secure, governed AI coding environment with private gateway and SLAs.
Use Cases
- Code new features using an AI agent that understands your entire codebase.
- Plan complex features with Architect Mode before writing code.
- Debug fast by letting the agent read errors and trace issues.
- Run long-running cloud agents while you continue working locally.
- Automate code reviews on pull requests to catch bugs early.
- Deploy applications with one click from the IDE.
- Integrate AI into Slack for team collaboration.
Models Under the Hood
as of 2026-08-20
Limitations
- Kilo Code is an open-source AI coding agent that works with 500+ models across 60+ providers.
- Platform access is free for individuals, while Teams and Enterprise plans add collaboration, security, and governance features.
- AI inference is billed separately, with options for pay-as-you-go through Kilo Gateway, bring-your-own keys, or a Kilo Pass subscription.
- Cloud compute for cloud features is usage-based and charged separately.
as of 2026-08-19
Verification history
We have re-verified Kilocode 6 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Plans compared
For each published Kilocode tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free & Open Source
$0/mo
Ideal for
Individual developers who want free AI coding with any model, including BYOK and local models.
What this tier adds
Free entry point with no cost, but no team management or advanced governance.
Teams
$15/user/month
Ideal for
Startups and small teams needing collaboration, shared BYOK, and usage analytics at $15/user/month.
What this tier adds
Adds usage analytics, AI adoption score, shared agent modes, and centralized billing.
Enterprise
Custom
Ideal for
Large organizations with compliance needs, requiring SSO, audit logs, and model restrictions.
What this tier adds
Adds SSO, OIDC, SCIM, audit logs, SLA, model/provider access controls, and private gateway.
Kilo Pass (Starter)
$19/mo
Ideal for
Light users who want discounted AI inference credits with bonus credits and auto-routing.
What this tier adds
Monthly credit subscription with up to 50% bonus, ideal for regular but moderate use.
Kilo Pass (Pro)
$49/mo
Ideal for
Regular users who need more monthly credits and benefit from Auto Model to control costs.
What this tier adds
Higher credit allowance than Starter, with same bonus structure and routing.
Kilo Pass (Expert)
$199/mo
Ideal for
Power users or teams with heavy AI usage needing the largest credit allowance.
What this tier adds
Largest credit allowance, up to 50% bonus, and best per-credit value.
Where the pricing makes sense
The company stage and team size where Kilocode's pricing actually pencils out — and where peers do it cheaper.
Kilo's pricing is a win for individuals and small teams that want model flexibility without lock-in. Free platform access for individuals, Teams at $15/user/month, and BYOK means you can avoid AI inference markup entirely. Compared to Cursor (which bundles models at ~$20/mo) or GitHub Copilot ($10/mo), Kilo can be cheaper if you bring your own keys, but cloud compute and inference are separate, so heavy cloud usage can rival those costs.
Setup time & first value
How long it actually takes to get something useful out of Kilocode — broken out by persona, not the marketing-page minute.
Install the VS Code extension via command line in under a minute. For JetBrains, install from the marketplace. CLI install via npm takes a few minutes. First task can be run immediately after adding an API key or connecting to a free model. Cloud agents and code review may take additional setup, but basic coding works within 10 minutes.
Switching to or from Kilocode
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From Cursor: Export your rules and context, then set up Kilo in your IDE and map your keybindings; MCP support eases migration.
- ↗To Cursor: Export your rules and context, then set up Kilo in your IDE and map your keybindings; MCP support eases migration.
Integrations
Resources & Guides
Tutorials & Learning
Official links
Tools that pair well with Kilocode
Common stack mates teams adopt alongside Kilocode, with the specific reason each pairing earns its keep.
Poolside AI
Open-weight agentic coding models for regulated enterprises needing auditable on-prem AI
OpenHands
Open-source platform for autonomous cloud coding agents that fix bugs, review PRs, and automate workflows.
Continue
Open-source AI coding agent for VS Code and JetBrains, now frozen after Cursor acquisition.
Featured Head-to-Head Comparisons
Kilocode vs Voyage Ai
Voyage AI and Kilocode serve fundamentally different needs. Voyage AI is the clear choice for enterprise RAG pipelines requiring high-accuracy, domain-specific embeddings and rerankers with compliance (SOC 2, HIPAA). Kilocode is ideal for developers and engineering teams seeking an open-source AI coding agent that works across VS Code, JetBrains, CLI, and cloud, with flexible model access. Choose based on your primary task: retrieval versus coding.
Kilocode vs Spider Cloud
Choose Spider Cloud if your primary need is reliable, fast web data extraction for AI pipelines and RAG — its Rust engine, AI Studio, and Browser AI commands give it an edge for scraping at scale. Pick Kilocode if you're a developer who wants an open-source coding agent across VS Code, JetBrains, and CLI, with model flexibility and team workflow features. They solve different problems: one fetches external data, the other generates code.
Kilocode vs Temporal Ai
Temporal AI is for teams that need bulletproof reliability in AI agent orchestration and microservices workflows. Kilocode is for developers who want a flexible, open-source AI coding assistant across many IDEs with access to hundreds of models. Choose Temporal if your priority is resilience and state recovery; choose Kilocode if your focus is accelerating daily coding with model flexibility.
Alternatives to Kilocode
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