OpenLLM
An AI token routing and scheduling middleware product that unifies a user's AI subscriptions, API keys, and local models into a callable token pool, supporting cross-tool invocation, quota relay, and remote session startup.
Timeline (last 90 days)
OpenLLM has 76 votes, ranks 13th and has 3 comments on Product Hunt.
OpenLLM's tagline is "Take your AI tokens anywhere".
OpenLLM offers a quota relay feature that automatically switches when one service reaches its limit, letting the session continue.
OpenLLM offers a remote session launch feature that lets you start a coding session from anywhere, with the actual computation running on a machine at home.
OpenLLM supports remote session launch, which involves reverse tunnel or relay server technology: the home machine actively connects to a public relay, and external requests are forwarded through the relay to the machine on the internal network.
OpenLLM's product description does not state whether the full context is preserved when switching.
OpenLLM is positioned between an "agent layer" and a "developer tool": it does not produce models but handles token routing and scheduling.
The challenges OpenLLM faces include that different models have different interface protocols, billing methods and context lengths, making seamless switching difficult to achieve.
All Facts (8)
OpenLLM has 76 votes, ranks 13th and has 3 comments on Product Hunt.
50%UnverifiedOpenLLM's tagline is "Take your AI tokens anywhere".
50%UnverifiedOpenLLM offers a quota relay feature that automatically switches when one service reaches its limit, letting the session continue.
50%UnverifiedOpenLLM offers a remote session launch feature that lets you start a coding session from anywhere, with the actual computation running on a machine at home.
50%UnverifiedOpenLLM supports remote session launch, which involves reverse tunnel or relay server technology: the home machine actively connects to a public relay, and external requests are forwarded through the relay to the machine on the internal network.
50%UnverifiedOpenLLM's product description does not state whether the full context is preserved when switching.
50%UnverifiedOpenLLM is positioned between an "agent layer" and a "developer tool": it does not produce models but handles token routing and scheduling.
50%UnverifiedThe challenges OpenLLM faces include that different models have different interface protocols, billing methods and context lengths, making seamless switching difficult to achieve.
50%