Kilo Code vs Sourcegraph Cody
Compare Kilo Code and Sourcegraph Cody by workflow, pricing, privacy, model support, and best use cases.
Kilo Code
Choose Kilo Code when openness, model flexibility, BYOK/local options, and cross-surface agent workflows matter more than having one tightly controlled first-party editor experience.
Sourcegraph Cody
Sourcegraph Cody is strongest when paired with Sourcegraph Enterprise and large-scale code search. It is less suitable as a personal AI coding tool now that Cody Free and Cody Pro have been discontinued.
Key Differences
Workflow
Kilo Code positions itself as an open-source, multi-model coding agent that spans IDE extensions, CLI, cloud agents, and team governance.
Sourcegraph Cody is an enterprise AI coding assistant focused on codebase-aware chat, code edits, completions, and context retrieval across large multi-repository environments.
Pricing
open-source
enterprise
compare.fields.localModels
Yes
No
Feature Comparison
| Feature | Kilo Code | Sourcegraph Cody |
|---|---|---|
| Primary workflow | Kilo Code positions itself as an open-source, multi-model coding agent that spans IDE extensions, CLI, cloud agents, and team governance. | Sourcegraph Cody is an enterprise AI coding assistant focused on codebase-aware chat, code edits, completions, and context retrieval across large multi-repository environments. |
| Type | extension | extension |
| Editor base | VS Code | VS Code |
| Pricing model | open-source | enterprise |
| Starting price | $0 | $16000 |
| Free plan | Yes | No |
| Open source | Yes | Yes |
| Local models | Yes | No |
| BYOK | Yes | Yes |
| Platforms | VS Code, Open VSX-compatible editors, JetBrains IDEs, CLI, Cloud Agents, Slack | VS Code, JetBrains IDEs, Visual Studio, Sourcegraph Web, Cody CLI, GitHub, GitLab, Sourcegraph Cloud, Sourcegraph self-hosted |
| Models | Anthropic Claude, OpenAI GPT, Google Gemini, xAI Grok, MiniMax, Z.ai GLM, DeepSeek, Mistral AI, Moonshot AI Kimi, AWS Bedrock, Ollama, LM Studio, Atomic Chat, OpenRouter, OpenAI-compatible providers | Claude Opus 4.5, Gemini 3 Pro, GPT-5.1, OpenAI 4.1, OpenAI 4.1-mini, OpenAI 4.1-nano, OpenAI o3, OpenAI o4-mini, Google Gemini 2.5 Flash Preview, Google Gemini 2.5 Pro Preview, Claude 3.5 Sonnet, Amazon Bedrock, Azure OpenAI, Google Cloud Vertex AI |
| Enterprise features | Centralized billing, Usage analytics and reporting, AI adoption score, Shared agent modes, Shared BYOK, Team management, Data privacy controls, Model and provider restrictions, Shared Private Gateway BYOK, Audit logs, SSO, OIDC, and SCIM, SLA commitments, Dedicated support channels | Sourcegraph Enterprise support, Single-tenant cloud, Self-hosted deployment, Enterprise admin and security controls, SSO and RBAC through Sourcegraph platform, Context Filters, Cody Gateway, Enterprise model selection, Org-wide AI credit pooling, Sourcegraph Code Search integration, MCP Server access, GraphQL and REST APIs, CLI access, 24x5 support with upgrade options |
| Best for | Developers who want an open-source AI coding agent inside VS Code or JetBrains., Teams that want BYOK, shared modes, usage analytics, and centralized AI cost controls., Power users who switch between IDE and terminal workflows., Developers comparing Roo Code, Cline, Continue, Cursor, and Claude Code., Privacy-conscious workflows that can run capable local models. | Enterprise teams with large monorepos or multi-repository architectures, Organizations already using Sourcegraph Code Search and code intelligence, Developers who need AI answers grounded in remote repository context, Security-conscious teams that need context filtering and enterprise controls, Teams that want AI assistance inside existing IDEs rather than switching editors |
| Not best for | Users who only need lightweight autocomplete with minimal setup., Non-technical users looking for a no-code prompt-to-app builder., Teams that require a single fixed first-party model vendor., Developers without budget or hardware for higher-capability model usage. | Individual developers looking for a low-cost personal AI coding assistant, Teams that want a standalone AI-native editor, Users looking for a fully autonomous coding agent that takes issues end-to-end, Organizations that do not plan to deploy or buy Sourcegraph Enterprise, Developers who need local model execution as a primary feature |
Use Case Winners
Both Kilo Code and Sourcegraph Cody have comparable signals here.
Kilo Code supports local model workflows.
Sourcegraph Cody lists more team or enterprise controls.
Sourcegraph Cody has stronger frontend or web workflow signals.
Kilo Code supports more model/provider options or BYOK-style workflows.
Both Kilo Code and Sourcegraph Cody have comparable signals here.
Pricing Comparison
Kilo Code
- Free & Open Source$0 / forever
Core VS Code, JetBrains, and CLI coding agent; AI usage is billed separately or supplied via BYOK/local models.
- Teams$15/user / month
Adds centralized billing, usage analytics, shared modes, shared BYOK, team management, privacy controls, and priority support.
- EnterpriseCustom
Adds model/provider restrictions, private gateway BYOK, audit logs, SSO/OIDC/SCIM, SLA commitments, and dedicated support.
- Auto Free / BYOK / Local$0 / month
Use free routed models where available, bring provider keys, or run local models with Ollama, LM Studio, or Atomic Chat.
- Kilo Gateway$0 + usage / month
Pay-as-you-go hosted inference at provider rates with no AI inference markup.
Sourcegraph Cody
- Sourcegraph EnterpriseFrom $16K
Enterprise platform plan that includes credits for AI features and scales with team size.
- Cody EnterpriseContact sales
Enterprise-supported Cody access for Sourcegraph customers; Cody Free, Cody Pro, and Enterprise Starter Cody access were discontinued in 2025.
- Volume AI CreditsCustom
Additional volume credit buckets are available as add-ons for AI feature usage.
Privacy & Security
Kilo Code
Kilo Code can use local models through Ollama, LM Studio, and Atomic Chat for workflows where code and prompts stay on the local machine. Hosted Gateway, Cloud Agents, code review, and BYOK routing may send prompts, repository context, or outputs to Kilo infrastructure and/or the selected model provider, so sensitive repositories should be reviewed against provider terms, enterprise controls, and internal policy.
Sourcegraph Cody
Cody collects prompts and responses to provide the service, and Sourcegraph documentation says it does not use user data to train models. Sourcegraph AI Terms state that Sourcegraph and partner LLMs do not use customer code to train models, and partner LLMs use zero-retention handling for inputs, outputs, and candidate context when accessed through Sourcegraph Partner LLMs. Enterprise teams should review AI Terms, Context Filters, Cody Gateway, model routing, self-hosting, and codehost permissions before rollout.
Choose Kilo Code if...
- Developers who want an open-source AI coding agent inside VS Code or JetBrains.
- Teams that want BYOK, shared modes, usage analytics, and centralized AI cost controls.
- Power users who switch between IDE and terminal workflows.
- Developers comparing Roo Code, Cline, Continue, Cursor, and Claude Code.
- Privacy-conscious workflows that can run capable local models.
Choose Sourcegraph Cody if...
- Enterprise teams with large monorepos or multi-repository architectures
- Organizations already using Sourcegraph Code Search and code intelligence
- Developers who need AI answers grounded in remote repository context
- Security-conscious teams that need context filtering and enterprise controls
- Teams that want AI assistance inside existing IDEs rather than switching editors
Avoid Kilo Code if...
- Users who only need lightweight autocomplete with minimal setup.
- Non-technical users looking for a no-code prompt-to-app builder.
- Teams that require a single fixed first-party model vendor.
- Developers without budget or hardware for higher-capability model usage.
Avoid Sourcegraph Cody if...
- Individual developers looking for a low-cost personal AI coding assistant
- Teams that want a standalone AI-native editor
- Users looking for a fully autonomous coding agent that takes issues end-to-end
- Organizations that do not plan to deploy or buy Sourcegraph Enterprise
- Developers who need local model execution as a primary feature