OpenCode vs Kilo Code: Which One to Choose
you live in the terminal, want the upstream project itself, and manage your own provider keys.
you want the same agent inside VS Code or JetBrains, 500+ models through one Kilo account, plus a cloud agent and automated PR reviews.
Facts side by side
| opencode | Kilo Code — The Open-Source All-in-One Coding Agent | |
|---|---|---|
| Positioning | The open source coding agent for your terminal | Build, ship, and iterate faster with AI in VS Code, JetBrains, or the CLI. 500+ models, zero markup. |
| Source review | 47/100 · Major gaps 20 releases since the review — the score may be stale | 55/100 · Major gaps 8 releases since the review — the score may be stale |
| Delivery | CLI · Desktop app | IDE extension · CLI · Hosted service |
| Cost | Free software; you pay for model usage | Free tier plus a paid hosted plan |
| Setup effort | Low · running in minutes | Low · running in minutes |
| Full support on | — | — |
| License | MIT | MIT |
| Language | TypeScript | TypeScript |
| Stars | ★ 218k+674.4/day over 7 days | ★ 28k+11.7/day over 7 days |
| Updated | today | today |
| Latest stable release | v1.19.3 · 2026-10-16 | jetbrains/v7.1.11 · 2026-10-16 |
Source review (FARS), dimension by dimension
| opencode | Kilo Code — The Open-Source All-in-One Coding Agent | |
|---|---|---|
| Trust / 29 |
8
Why points were lostEvidence: AGENTS.md describes a permission system (plan agent denies file edits by default, bash commands require confirmation), but lacks specific permission configuration details; SECURITY.md explicitly states no sandbox, permission system is a UX feature, not security isolation. User confirmation is mentioned for plan agent, but not detailed for all scenarios. Data flow transparency is detailed in CONTEXT.md (e.g., Session History, Context Source), but external data flow is not specified. Sensitive data handling is not explicitly mentioned. Dependency security: package.json has patchedDependencies and trustedDependencies, but no vulnerability scanning or audit evidence. External effects: SECURITY.md mentions server mode requires password, but not detailed. Rollback is not mentioned. Source attribution: README and CONTRIBUTING provide maintainer info, but publisher is unverified. Deductions: incomplete permission system description, user confirmation only partial, data flow transparency lacks external flow, sensitive data handling not explicit, dependency security lacks audit evidence, external effects limited, rollback missing, source attribution limited by unverified publisher. |
14
Why points were lostEvidence shows: permission system exists but explicitly not a sandbox, only UX; --auto disables all prompts; SECURITY.md defines threat model but lacks data flow transparency; dependencies have overrides and patches but no vulnerability scan evidence; external effects include terminal and browser control but no rollback; source attribution via LICENSE and README fork statement. Deductions: permission system not security isolation, data flow not transparent, sensitive data handling not explicit, rollback missing. |
| Reliability / 14 |
6
Why points were lostEvidence: AGENTS.md and CONTEXT.md are internally consistent, with clear terminology and rules. Dependency availability: package.json lists many dependencies, but no availability guarantees or mirrors. Failure messages: CONTEXT.md describes error handling (e.g., SessionNotFoundError), but no user-friendly failure message examples. Deductions: dependency availability lacks guarantees, failure messages limited. |
8
Why points were lostEvidence shows: package structure clear, tests exist but not executed; dependencies pinned with overrides and patches; failure messages not evident in source. Deductions: static review cannot verify tests, failure messages not provided. |
| Adaptability / 18 |
12
Why points were lostEvidence: README in multiple languages provides installation and usage instructions, covering various platforms and package managers, broad audience. Capability boundaries are clearly described in AGENTS.md and CONTEXT.md (e.g., build vs plan agent permissions). Trigger precision: AGENTS.md provides specific commands and rules (e.g., branch naming, commit format). Environment fit: README provides multiple installation methods, CONTEXT.md describes PTY environment. Deductions: capability boundaries not covering all scenarios, trigger precision may be imprecise for some rules. |
10
Why points were lostEvidence shows: multi-platform (VS Code, JetBrains, CLI), multiple agents and custom agents; capability boundaries listed in README; trigger precision not explicit; environment fit with install instructions. Deductions: trigger precision not explicit. |
| Convention / 18 |
11
Why points were lostEvidence: Information architecture is clear, AGENTS.md, CONTEXT.md, CONTRIBUTING.md have distinct roles. Install notes are detailed in README, covering multiple platforms. Naming stability: AGENTS.md specifies branch and commit naming conventions. Examples and FAQ provided in README and CONTRIBUTING. Known limitations explicitly stated in SECURITY.md (e.g., no sandbox). License is MIT, clear. Versioning changelog not provided, but package.json has version info. Maintenance responsibility is clear in CONTRIBUTING. Deductions: versioning changelog missing, maintenance responsibility clear but publisher unverified. |
11
Why points were lostEvidence shows: README structure clear, install notes detailed, naming stable, FAQ and known limitations (SECURITY.md), MIT license, version exists but no changelog, maintenance responsibility via CONTRIBUTING and RELEASING. Deductions: no changelog. |
| Effectiveness / 13 |
7
Why points were lostEvidence: Output usability: README provides clear installation and usage examples, CONTEXT.md defines terminology for understanding. Marginal value: as open-source coding agent, provides various features (e.g., agents, SDK). Cost-benefit: no performance or resource consumption data. Deductions: cost-benefit lacks data support. |
9
Why points were lostEvidence shows: high output usability (multi-platform), high marginal value (500+ models), good cost-benefit (zero markup). Deductions: static review cannot verify actual effectiveness. |
| Verifiability / 8 |
3
Why points were lostEvidence: Claim traceability: claims in README and CONTEXT.md are documented, but no test or verification evidence. Cross-source corroboration: multilingual READMEs are consistent, but no external verification. Fact-inference separation: documentation distinguishes description and design intent, but not explicitly labeled. Deductions: lack of test evidence, limited cross-source corroboration, fact-inference separation not explicit. |
3
Why points were lostEvidence shows: README claims partially supported (e.g., fork), but lack independent verification; tests exist but not executed; facts and inferences not clearly separated. Deductions: lack independent verification, facts and inferences not separated. |
Key differences
- Relationship: Kilo's README states that Kilo CLI is a fork of OpenCode, enhanced to work within the Kilo platform. [1]
- Surfaces: Kilo Code spans a VS Code extension, JetBrains plugin, CLI, a cloud agent (app.kilo.ai/cloud) and PR code reviews; OpenCode offers its terminal UI and a desktop app (beta). [1][2]
- Models: Kilo gives an account access to 500+ models, switchable mid-task; OpenCode connects 75+ providers via the AI SDK and Models.dev, plus local models. [1][2]
Who it is not for
- Teams needing long-term maintenance guarantees
- Users who want a GUI-only, no-terminal workflow
- Teams that need fully offline use or data that never leaves the machine
- Users unwilling to create an account or send code to a cloud service
- Teams needing a mature toolchain with complete documentation