AI Agent Index
ByHeather MacAvelia·Independently reviewed·Published Mar 27, 2026·Updated Aug 17, 2026
Independently verified against live vendor data on Jul 27, 2026.

Open-source AI coding agent for VS Code, JetBrains, CLI, Cloud, and Slack with parallel agents and 500+ models. 3M+ users. Free tier, with optional Kilo Pass inference from $19/mo.

How we scored it

Autonomy

4/5

Integrations

5/5

Pricing clarity

4/5

Evidence

4/5

Setup

5/5

The facts

Kilo Code is an open-source AI coding agent that runs inside VS Code, JetBrains IDEs (IntelliJ, PyCharm, WebStorm), as a CLI, in the cloud, and via Slack. Started as a fork of Roo Code and built by Kilo-Org on $8M in seed funding, Kilo was acquired by Anaconda in July 2026 and continues as an open-source product for individuals, teams, and organizations. It has 26.9k GitHub stars and 3M+ users processing over 40 trillion tokens. Trusted by developers at Meta, Amazon, Airbnb, PayPal, Square, and Red Hat. The product rebranded from kilocode.ai to kilo.ai in 2026 and won Product Hunt's #1 Open Source Product of the Month. The agent operates across five built-in modes: Architect for system planning, Code for implementation, Debug for diagnosis, Ask for safe codebase exploration, and Orchestrator for multi-step task management with parallel subagent delegation across separate git worktrees. Cloud Agents support headless background execution. A dedicated Security Agent and Code Reviewer extend the platform beyond code generation into security analysis and pull request review. Integration depth spans the full developer workflow: VS Code, JetBrains (IntelliJ, PyCharm, WebStorm), CLI, Cloud Agents, and Slack for team-based task assignment. The platform supports 500+ models via BYOK through OpenRouter, Anthropic, OpenAI, Google Gemini, and any compatible API endpoint with no markup. MCP server integration enables custom tool connections. Gateway and Gastown provide additional infrastructure surfaces. KiloClaw offers managed OpenClaw deployments for teams wanting hosted agent orchestration. Kilo separates pricing into three independent parts: the platform plan, AI inference, and cloud compute. The platform plan is free and open source forever for individuals under an MIT license. Teams is $15 per user each month for centralized billing, usage analytics, and shared agent management, and Enterprise is custom-priced for SSO, SCIM, audit logs, and SLAs. AI inference runs free through BYOK or local models at no subscription, pay-as-you-go through the Kilo Gateway at exact provider rates with no markup, or on an optional Kilo Pass subscription from $19 per month. Kilo Pass costs the same in either billing cycle and only the credit allowance moves, with an annual commitment earning 50 percent bonus credits against up to 40 percent month to month. Kilo states that from September 1, 2026 at the earliest it will add a 5 percent processing fee on card purchases of credits and begin billing for awake cloud compute time. That fee is stated not to apply to Teams and Enterprise seats, or to payment by invoice, wire, or ACH. KiloClaw managed OpenClaw deployments are a separate product at $55 per month month-to-month or $51 per month on a six-month commit, with AI inference billed separately. Kilo maintains a SOC 2 Type I report through its Trust Center. Kilo Code is not the right fit for teams that need mature enterprise governance out of the box. GitHub Copilot and Cursor ($16/mo billed annually) provide more polished SSO, audit logging, and RBAC for procurement-heavy enterprise organizations. Tuning Memory Bank, MCP tools, and custom modes has a real learning curve that Cursor or Copilot do not require. Local model performance depends heavily on available hardware, which limits local-first deployments on standard developer machines. Current state Q3 2026: Kilo Code has grown to 26.9k GitHub stars and 3M+ users processing over 40 trillion tokens. The platform expanded from IDE and CLI to include Cloud Agents, Slack integration, Security Agent, Code Reviewer, Gateway, and Gastown. KiloClaw launched for managed OpenClaw deployments. The product won Product Hunt's #1 Open Source Product of the Month, and in July 2026 Anaconda acquired Kilo, integrating it as the agentic engineering layer of its AI development platform. Kilo routes work to third-party model providers, some of which may use prompts for training, and ships an organization-level code training opt-out alongside provider filtering by data policy. Fully local model operation is supported for sensitive codebases.

Pricing

freemium · $19/mo

View pricing ↗

Segment

both

Setup

easy

Verified

Jul 27, 2026

Transparency

Mostly Public

Contract

Monthly or Annual

Data training

Opt-out

Human in loop

Optional

Capabilities

code-generationagentic-codingautonomousidemulti-file-editingautocompleteterminal-agentbyokopen-source

Pros & Limitations

Editorial assessment

Pros

  • Open-source MIT-licensed and model-agnostic with 500+ models: connect any provider through BYOK with no markup, or use Kilo Pass managed inference from $19 per month. 26.9k GitHub stars and 3M+ users validate broad developer adoption.
  • Multi-mode architecture with parallel agents across 6+ surfaces: Architect, Code, Debug, Ask, and Orchestrator modes handle planning and execution as separate concerns with subagent delegation across concurrent git worktrees. Cloud Agents, Slack, and Code Reviewer extend beyond IDE-only workflows.
  • Trusted by developers at Meta, Amazon, Airbnb, PayPal, Square, and Red Hat with $8M seed funding and Product Hunt #1 Open Source Product of the Month award. Over 40 trillion tokens processed across the platform.

Limitations

  • Enterprise governance features (SSO, granular audit logs, RBAC) are less mature than GitHub Copilot or Cursor for procurement-heavy enterprise organizations that require formal security review before deployment.
  • Setup complexity for advanced features including Memory Bank, custom modes, and MCP tool configuration has a real learning curve compared to Copilot or Cursor which require near-zero configuration for basic agentic coding.
  • Local model performance depends heavily on available hardware: expect uneven results without sufficient GPU compute for larger open-source LLMs, which limits local-first deployments on standard developer machines.
  • Code sent through Kilo Gateway can reach model providers that use prompts for training: an organization-level code training opt-out and a provider data-policy filter are available, but the setting that hides prompt-training models is disabled by default.
  • Review sentiment splits sharply by corpus: its rating on the VS Code Marketplace, by far the largest independent review base, sits well below its G2 and Product Hunt scores, which rest on much smaller samples.

Technical Details

Deployment
cloudclidesktopide
Model architectureModel-agnostic, supports 500+ models including Claude 4.6 Sonnet/Opus, GPT-5, and Gemini 3.1 Pro via OpenRouter or Kilo Gateway
Avg setup timeUnder 5 minutes (install VS Code or JetBrains extension from marketplace, configure BYOK API key or sign up for Kilo Pass, first agent task)
Autonomous ratePermissive by default. Kilo documents that most tools default to allow out of the box, with reading .env files and reaching outside the workspace the notable exceptions that prompt. Orchestrator mode delegates to parallel subagents across concurrent git worktrees with inline diff review, and Cloud Agents run headless in the background. Permissions are configurable per agent to allow, ask, or deny.
Integrations
VS CodeIntelliJPyCharmWebStormCLICloud AgentsSlackGitHubOpenRouterAnthropic ClaudeOpenAIGoogle GeminiMCPKiloClawOpenClawGateway

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Rating

4.3/ 5

Editorial score

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Recognition

Listed 2026
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Industries

DevToolsB2BStartupsEnterpriseOpen Source

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