BlazorMemory 1.0 launches: a .NET memory library for AI chat in Blazor WASM
Developer Niels released BlazorMemory v1.0.0 this week after ten months of work, filling a gap left by the absence of any .NET-native memory library for AI chat assistants in Blazor WebAssembly. The library ships with four storage backends — including a fully browser-side IndexedDB option requiring no server — and supports four AI providers such as OpenAI, Anthropic, and Ollama. Key features include a drop-in UI component, a visual memory graph, Semantic Kernel integration, and multi-agent shared memory with namespace isolation. The project grew to 14 packages across incremental releases, with each small version shipped alongside a write-up that consistently drove more downloads than the releases alone. The author also documented key lessons learned, including the need for options objects over positional parameters, smarter memory consolidation prompting, and robust JSON parsing when working with local models like Ollama.
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