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MegaCapybara 1.12
What's new
- Faster prompt reading. About 8-9% faster: 8 prompts of ~11K tokens at once 7.4K -> 8.1K tokens/s, a
145K-token prompt 5.2K -> 5.6K tokens/s (small model, RTX 5090). - Faster generation in long conversations. Each speculative round is 4-9% faster from 8K to 240K tokens of
context (up to 20% with long drafts); short conversations are unchanged. - Agents keep their cache while they wait. A conversation counts as finished only after 20 minutes without a turn,
and one whose last tool call runs in the background (as Claude Code's Bash withrun_in_background) stays open, so
an agent waiting for its tests comes back without reading its whole context again. - The shared context is about 3% smaller than in 1.08 (larger buffers for reading prompts).
The "Source code" files GitHub attaches to this release hold only the README and the docs; the engine's source code will be released soon.