free-claude-code vs otari
Local coding-agent proxy compared with a self-hosted LLM gateway
free-claude-code routes coding agents and editor integrations through a local service for configuring cloud and local models. otari provides a self-hosted, OpenAI- and Anthropic-compatible gateway for applications, with controls for keys, budgets, routing, and usage. Both centralize access to multiple model providers, but serve different needs: coding-tool setup versus team and application access management.
free-claude-code: Connect Coding Agents to Multiple AI Models
Free Claude Code is a local proxy and admin interface for routing coding agents to cloud and local language models. It suits developers who want one place to configure providers, switch models, and connect multiple coding clients.
otari: Run an OpenAI-Compatible LLM Gateway
Otari is Mozilla AI’s self-hostable LLM gateway, using any-llm to route OpenAI- and Anthropic-compatible requests to providers through one endpoint. It adds virtual keys, budgets, routing policies, and usage tracking for teams operating their own AI stack.
| free-claude-code | otari | |
|---|---|---|
| Language | Python | Python |
| License | NOASSERTION | Apache-2.0 |
| Stars | 56.4k | 660 |
| Forks | 9k | 83 |
| Last analyzed | Oct 3, 2026 | Oct 19, 2026 |
Key differences
- free-claude-code focuses on connecting 11 listed coding agents and editor clients; otari focuses on a shared API endpoint for applications.
- free-claude-code offers a local Admin UI for provider setup and model selection, with coding-agent integrations; otari adds scoped virtual keys, budget checks, usage records, and routing policies.
- free-claude-code lists hosted, subscription, and local model providers; otari integrates with 40+ providers through any-llm.
- Both are written in Python, but free-claude-code lists its license as NOASSERTION while its README identifies AGPL-3.0-only; otari uses Apache-2.0.
- free-claude-code must be running locally for connected clients to use its models; otari can run standalone with its own database or connect a data plane to otari.ai.
- free-claude-code has 56.4k stars and 9k forks; otari has 503 stars and 59 forks.
Choose free-claude-code if you…
- want one local place to configure models and providers for multiple coding agents or editor clients.
- need to combine cloud, subscription, and local models, with fallback options for request failures.
- want optional Discord or Telegram access, or voice-note transcription for coding tasks.
Choose otari if you…
- need a shared OpenAI- and Anthropic-compatible endpoint for multiple applications.
- want scoped virtual keys, budget checks, and usage records for teams or workspaces.
- need configurable failover, weighted routing, or learned selection across providers.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.