{"items":[{"id":"3caebf6c-3176-41e6-964d-37db21249dc5","type":"push","org":"subh05sus","repo":"cache-pot","title":"Major feature update: web dashboard, AOF persistence, and RESP protocol support","summary":"This significant release introduces a robust embedded web dashboard for real-time observability, including tools for browser, workbench, and profiling access. The backend now features AOF (Append Only File) persistence, a fully integrated RESP protocol parser, and expanded engine capabilities like SCAN, RENAME support, and advanced server introspection via commands like MONITOR and SLOWLOG. These enhancements dramatically improve the debuggability and data durability of the cache server. ![Big moves](https://enxegfybrygakxrhnabg.supabase.co/storage/v1/object/public/meme-images/cda26ceb-8589-4d44-b6b0-c6fbb437386d.jpg)","url":"https://nomit.dev/subh05sus/cache-pot/status/04920afb2da52a585d17591e8f7974bb4bd509991c1937cdb4b9d905cc3cb077","author":"subh05sus","contributors":["subh05sus"],"updated_at":"2026-07-06T13:47:44+00:00"},{"id":"40e626f3-908a-4f1a-a806-4667215330d2","type":"release","org":"subh05sus","repo":"cache-pot","title":"Welcome to the world, Cache-Pot: v0.1.0 is officially released! 🍜","summary":"Cache-Pot v0.1.0 is here, bringing a fast, single-binary Redis-compatible data store specifically designed for AI agents. This initial release includes support for core RESP2 commands, built-in vector search, a semantic cache to reduce LLM costs, and a native MCP server for agent tool integration. It is ready for your local AI experimentation and development workflows.\n\n![Success!](https://enxegfybrygakxrhnabg.supabase.co/storage/v1/object/public/meme-images/subh05sus/cache-pot/success/3ee04a1d-80bb-4db3-b555-c771d12f9413.png)","url":"https://nomit.dev/subh05sus/cache-pot/status/399a528db303c51ea01aa1f590abc92afbf538b1ea7d1010561fdfcf44a66741","author":"github-actions[bot]","contributors":["github-actions[bot]"],"updated_at":"2026-07-06T08:37:49+00:00"},{"id":"c07e8597-505c-4660-af34-75a9449b86df","type":"push","org":"subh05sus","repo":"cache-pot","title":"Initial release of Cache-Pot, an in-memory data store for AI agents","summary":"Cache-Pot is introduced as a fast, drop-in Redis-compatible data store specifically designed for AI applications. Beyond standard key-value storage, it includes native vector search, semantic caching to optimize LLM calls, and a built-in MCP server for AI agents to easily read, write, and search data. It aims to provide an accessible, lightweight alternative to standard Redis for AI-focused workflows.","url":"https://nomit.dev/subh05sus/cache-pot/status/f6799c775c3907198324652c683c7ffb9d51c73b5deab9f7d7007d1540959c06","author":"subh05sus","contributors":["subh05sus"],"updated_at":"2026-07-06T08:36:06+00:00"},{"id":"7c24cdc5-aeb2-40fd-a872-8d65f445f47e","type":"push","org":"subh05sus","repo":"cache-pot","title":"Initial release of Cache-Pot, an AI-focused in-memory data store","summary":"Cache-Pot is a new, fast in-memory data store designed specifically for AI agents and applications. It acts as a drop-in Redis replacement that adds built-in semantic caching, vector search capabilities, and a native Model Context Protocol (MCP) server for direct agent integration. It's built as a single, dependency-free Go binary for easy deployment.","url":"https://nomit.dev/subh05sus/cache-pot/status/8657b9d044e1e23d18cad1e496b0a323096bb0c4399427bb3e3a4446c870b3d9","author":"subh05sus","contributors":["subh05sus"],"updated_at":"2026-07-06T08:26:09+00:00"}],"pagination":{"offset":0,"limit":5,"has_more":false}}