Concept
Context window
The amount of text an LLM can process in one turn. Modern: 200K-2M tokens.
Every LLM has a maximum context size — how much text it can read in one prompt. Today's leaders: Claude Sonnet (200K), Opus (200K-1M), Gemini (1M-2M), GPT-5 (varies).
Niyra manages context aggressively via skill JIT-loading, memory retrieval (only relevant memories), and conversation pruning.
Related
32+
Integrations
OAuth-first
5
Channels
Web, WhatsApp, Telegram, Discord, voice
100+
Native tools
Memory, voice, browser, automation
18
Skills
JIT-loaded per turn
Keep going
Channel
Niyra on WhatsApp
Voice notes, photos, PDFs. Same Niyra as web. Where you already are.
ReadFeature
She remembers
Vector memory across sessions. Tell her on Monday, she knows on Friday.
ReadSolutions
AI for founders
The AI that runs the boring half of your company while you build.
ReadPricing
Free trial, no card
2,000 credits to put Niyra through a real day. Pro at $9 intro.
ReadIntegrations
32 apps connected
Gmail, Calendar, Slack, Linear, GitHub, Notion. All via OAuth.
ReadDocs
5-minute quickstart
Sign up, connect Gmail, set a brief. Niyra running in 5 minutes.
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