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Manifest
Open-source LLM router with self-healing retries that also routes to Claude/ChatGPT subscriptions
0Visit Manifest
https://manifest.build/
About Manifest
Manifest is an open-source LLM router that sits between your agents and whichever providers you use, under an MIT licence with roughly 7.4k GitHub stars. Its distinguishing feature is Autofix: rather than only routing and logging, it retries, reroutes and repairs broken provider calls before the failure ever reaches your agent. That targets a specific and under-served failure mode — agent harnesses tend to handle a 500 or a rate-limit badly, aborting a multi-step run because one upstream call blipped, and the resulting partial work is often unrecoverable. Manifest's second unusual capability is that it routes to subscription providers, not just pay-per-token APIs: Claude, ChatGPT and Gemini consumer or team subscriptions can be used as inference backends alongside metered API keys, local models and custom providers. For anyone already paying for a coding-agent subscription, that removes a duplicate inference bill. Observability — usage, reliability and cost tracking — is in early access. The deployment story is the reason the free tier is genuinely useful rather than a funnel: self-hosting with Docker under the MIT licence has no request cap at all, and the free hosted Cloud tier allows 10,000 routed requests a month with unlimited agents, all providers and no restrictions, seven-day dashboard retention, Autofix, budget alerts and Discord support.
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Key Features
Manifest Pros & Cons
✅ Pros
- +Self-hosted MIT deployment has no request ceiling, so the free path is permanent
- +Subscription-provider routing avoids paying twice for inference you already have
- +Autofix addresses a failure mode most gateways only log
⚠️ Cons
- −Observability is still early access rather than generally available
- −Cloud free tier caps at 10,000 routed requests per month
- −Pro is explicitly single-project and not suited to teams
Tags
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