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Kira LOCAL-FIRST
Solved challenges

Hard live-stream problems we already had to solve

Kira was shaped by real streaming problems: noisy chats, delayed speech, local hardware limits, long sessions, and the need to stay useful without taking control away from the host.

Multiple AI workloads on one streamer PC

Challenge

Running a local co-host is not one button and magic. The stream may need a local LLM, custom voice output, and a listening/transcription path while OBS, the game, and overlays are also active.

Live example

Game + OBS + Kira voice + LiveAudio listening on the same machine.

Result

OpenCohost coordinates the pieces and makes the tradeoff visible: quality, speed, VRAM, and stream load stay under the host's control.

Agenda Mode with live context

Challenge

A co-host needs rhythm. If Kira only reads a fixed script, she feels dead. If she reacts to everything, she becomes noise. The challenge was keeping her focused while still letting the stream influence the conversation.

Live example

Kira can continue a planned topic, notice the room changing, and adapt the angle without stealing control from the streamer.

Result

We shaped Agenda Mode around a reactive event loop: the host sets direction, Kira keeps flow, and chat context can bend the conversation without taking over.

Co-host silence recovery

Challenge

In earlier versions, some combinations of co-host mode and live chat could leave Kira quiet. That is one of the worst failures for a stream assistant: the audience sees nothing, the host gets no help, and the moment dies.

Live example

A stream with active chat and an agenda running should not make Kira pause forever.

Result

We corrected the product flow so co-host behavior, chat reaction, and streamer control cooperate instead of blocking one another.

Chat context without overwhelming the model

Challenge

Injecting raw live chat into a local LLM is the fastest way to kill the experience. Streams are messy: spam, jokes, repeated lines, reaction waves, short messages, and sudden chat storms all arrive mixed together.

Live example

Instead of Kira repeating chat word-for-word, she understands the room's pressure and reacts like a co-host.

Result

OpenCohost shapes chat into usable context so Kira can respond to the stream atmosphere without mirroring the room or getting overwhelmed when chat gets chaotic.

Push-to-talk for real voice control

Challenge

When LiveAudio sends every transcription through WebSocket, Kira can react to too much. Without headphones, she may even hear herself through the microphone and answer in a loop. Also, speech transcription can arrive a little late.

Live example

Hold a key, speak naturally — even a long thought — then release and Kira receives the full spoken context.

Result

PTT makes listening intentional: it collects voice while active, sends the full context on release, and accepts a small late-transcription margin for more natural interaction.

Robustness under live pressure

Challenge

Live shows are not clean demos. Connections can hiccup, components can be busy, windows can stay open for hours, and inputs can arrive in unexpected ways. A streamer tool has to bend before it breaks.

Live example

If one part is delayed or unavailable, the whole show should not collapse around it.

Result

OpenCohost was hardened so problems degrade gracefully: Kira should remain useful even when the stream environment gets messy.

Long-session memory discipline

Challenge

A stream can run for hours. If every message, joke, transcript, and response is treated as equally important, the local model gets buried and Kira loses focus.

Live example

Kira should remember the useful direction of the show, not drag every old chat line forever.

Result

OpenCohost keeps continuity through compact context instead of endless memory, helping Kira stay coherent across long sessions.

Avatar and OBS presence

Challenge

Kira needed to feel present on stream, not hidden inside a textbox. The audience should understand when she is listening, thinking, or speaking without the host explaining it every time.

Live example

A viewer can glance at the stream and immediately read Kira's current presence.

Result

We connected visual presence with OBS-friendly behavior so Kira feels like part of the show, not just a background tool.

A UI for streamers, not technicians

Challenge

The first UI was too dense. It exposed too many controls at once and felt closer to a technical cockpit than a stream product. That makes people hesitate, even when the features are useful.

Live example

A host should quickly find voice, stream, co-host, music, and avatar controls without reading a manual first.

Result

We remodeled the interface around clearer tabs, calmer sections, explanations, and a stronger Kira-focused layout for non-technical users.

Music that behaves around Kira

Challenge

Background music can make the stream feel alive, but it can also fight the co-host. If music keeps stepping over Kira, the audience has to work harder to understand the moment.

Live example

Kira speaks, the stream stays readable, and music supports the atmosphere instead of competing with her.

Result

OpenCohost now handles music flow more gracefully so the show feels smoother when Kira enters the conversation.

LiveAudio as a separate listening bridge

Challenge

Voice listening is important enough to live as its own connected piece. LiveAudio detects when someone is actually speaking, transcribes voice locally, and passes clean context into OpenCohost.

Live example

Speech can become subtitles, transcripts, and usable context without making OpenCohost itself permanently listen by default.

Result

LiveAudio uses Silero VAD and OpenAI Whisper open-source transcription as a separate bridge for voice context, subtitles, and transcripts.