876130fc68
# PR Checklist - [x] Have you checked if it works normally in all models? *Ignore this if it doesn't use models.* - [x] Have you checked if it works normally in all web, local, and node hosted versions? If it doesn't, have you blocked it in those versions? - [x] Have you added type definitions? # Preview  # Description Implemented HypaV3, a variation of the HypaV2 memory. --- Key Changes: - Ratio-based token management instead of fixed token counts (memoryTokensRatio, extraSummarizationRatio) - Improved memory selection with adjustable ratios (recent/similar/random memory) - Similar memory selection now uses parent summaries instead of individual chunks - Selected memories are chronologically ordered - Control over summary units (maxChatsPerSummary) - Added orphaned memory preservation option (preserveOrphanedMemory) --- New Settings: - memoryTokensRatio: Ratio of memory prompt in max context size - extraSummarizationRatio: Extra margin ratio of max context size to keep more free space when summarizing begins - maxChatsPerSummary: Maximum chats per summary - similarMemoryRatio: Ratio for similarity-based memory selection - randomMemoryRatio: Ratio for random memory selection - enableSimilarityCorrection: Compare chunks with both raw and summarized version of last 3 chats for better similarity matching - preserveOrphanedMemory: Keep summaries even when original chats are deleted --- Summarization Conditions: - Start: When current tokens exceed max context size - End: When either: - Current tokens drop below maxContextTokens * (1 - memoryTokensRatio - extraSummarizationRatio) - Current tokens are within max context size and only minimum required messages (3) remain --- Memory Selection Process: - Recent: Newest summaries up to recentMemoryRatio (1 - similarMemoryRatio - randomMemoryRatio) - Random: Unused summaries selected randomly up to randomMemoryRatio - Similar: Unused summaries selected by similarity to last 3 messages - Each summary is split into chunks and compared with raw recent messages for similarity scoring - When similarity correction enabled, also compares with summarized version of recent messages - Parent summaries of the most similar chunks are selected - Unused token space from recent and random selections is added to similar memory's token limit --- Key Differences from HypaV2: - Flexible ratio-based memory management instead of absolute values - Selects parent summaries instead of individual chunks for similar memory - UI shows original chat's memos linked to each summary
RisuAI
RisuAI, or Risu for short, is a cross platform AI chatting software / web application with powerful features such as multiple API support, assets in the chat, regex functions and much more.
Screenshots
| Screenshot 1 | Screenshot 2 |
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Features
- Multiple API Supports: Supports OAI, Claude, Ooba, OpenRouter... and More!
- Emotion Images: Display the image of the current character, according to his/her expressions!
- Group Chats: Multiple characters in one chat.
- Plugins: Add your features and providers, and simply share.
- Regex Script: Modify model's output by regex, to make a custom GUI and others
- Powerful Translators: Automatically translate the input/output, so you can roleplay without knowing model's language.
- Lorebook: Also known as world infos or memory book, which can make character memorize more.
- Themes: Choose it from 3 themes, Classic, WaifuLike, WaifuCut.
- Powerful Prompting: Change the prompting order easily, Impersonate inside prompts, Use conditions, variables... and more!
- Customizable, Friendly UI: Great Accessibility and mobile friendly
- TTS: Use TTS to make the output text into voice.
- Additonal Assets: Embed your images, audios and videos to bot, and make it display at chat or background!
- And More!
You can get detailed information on https://github.com/kwaroran/RisuAI/wiki (Work in Progress)
Discord
Installation
- RisuAI Website (Recommended)
- Github Releases
Docker Installation
You can also run RisuAI using Docker. This method is particularly useful for web hosting.
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Clone the repository:
git clone https://github.com/kwaroran/RisuAI.git cd RisuAI -
Build and run the Docker container:
docker-compose up -d -
Access RisuAI at
http://localhost:6001in your web browser.