EXTRACT · CONSOLIDATE · CACHE
Pawwake
PAWWAKE · @GARAN0613
Add a layer of memory, conversation lines, and partitioned caching in front of any OpenAI compatible client.
Pawwake sits between the client and the model server, automatically retrieving and injecting relevant memories, and then extracting candidate content from new conversations. It manages both session summaries and cache partitions, reducing long-term chat costs.
Project address (can be copied to AI):https://github.com/garan0613/pawwake
PROJECT INTRO
Project introduction
Pawwake (formerly AI Memory Gateway) is an OpenAI compatible forwarding gateway. It provides three-layer memory of fragments, events, and core, and supports automatic extraction, AI sorting, manual merging, source withdrawal, and keyword + vector hybrid search.
The project also manages cross-platform conversation lines, history records, token statistics and A/B partition cache, and separates authentication for program API and Dashboard login. The client only needs to change the API address to access.
- Suitable for:People who use clients such as Kelivo, ChatBox, NextChat, etc. and want to obtain memory and cache optimization at the same time.
- Platform:Python Self-host + PostgreSQL; compatible with any OpenAI format client and model.
- Usage:First deploy a pure forwarding gateway, and then connect database, memory, vector search and partition cache as needed.
- License:AGPL-3.0。
COMMENTS & FEEDBACK
Comments and Feedback
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