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AgentPond is a lightweight trace backend and CLI for AI applications. It keeps raw traces in object storage you control and syncs them into a local DuckDB cache for fast analysis by developers and coding agents. Use it with Firebase Storage, Amazon S3, Google Cloud Storage, Vercel Blob, or custom infrastructure. Firebase and Vercel include automated setup; other deployments use the manual setup path.
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AgentPond is a lightweight trace backend and CLI for AI applications. It keeps raw traces in object storage you control and syncs them into a local DuckDB cache for fast analysis by developers and coding agents. Use it with Firebase Storage, Supabase Storage, Amazon S3, Google Cloud Storage, Vercel Blob, or custom infrastructure. Firebase, Supabase, and Vercel include automated setup; other deployments use the manual setup path.
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## How it works
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Start with the [Manual deployment setup](./docs/getting-started/manual-setup.md) to choose a write path, configure object storage, instrument the application, and sync its traces into AgentPond.
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For Firebase and Vercel, AgentPond also provides automated quick starts:
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For Firebase, Supabase, and Vercel, AgentPond also provides automated quick starts:
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});
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if(projects.length>1){
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thrownewCliError(
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`Multiple AgentPond platforms were detected: ${projects.map(({ provider })=>provider.displayName).join(", ")}. Remove the unrelated project marker or select one with npx agentpond init --platform <platform>.`,
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`Multiple AgentPond platforms were detected: ${projects.map(({ provider })=>provider.displayName).join(", ")}. Pass --platform <platform> to select one for this command.`,
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