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Persistent cloud Chrome for AI agents, with saved logins, forks and live view

Self-hosted LLM gateway with virtual keys, budgets and usage tracking

About
Otari sits between your apps or agents and the model providers. It authenticates each request, resolves the provider credential, enforces the budget before dispatch and logs usage afterwards, with routing policies for failover and weighting between models. Provider calls go through Mozilla.ai's any-llm library. It runs standalone with Docker and your own database and keys, or you can connect a data plane to the hosted otari.ai platform. For coding agents there is a separate otari CLI (brew install mozilla-ai/tap/otari) with hooks and a Claude Code import, plus optional guardrails, web search, MCP and code execution. The dashboard shows spend by model, keys, members, budgets and a playground for comparing models. Repo: https://github.com/mozilla-ai/otari.
Features
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Seven tools that cut Claude Code, Codex and Cursor token usage by compressing shell output, searching code and fetching current docs, with honest caveats.
Six building blocks that turn a chat model into an agent that can work on its own: an inbox, memory, a safe place to run code, app access, background jobs and tracing.
I compare Langfuse and Braintrust for LLM tracing and evals: free tiers, paid plans, self-hosting, open source status and their MCP servers.


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