Memoars vs Spanly

Memoars is a user-owned, encrypted memory layer that carries approved context across AI assistants while keeping you in control of what is learned, changed, and forgotten.

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you...

About Memoars

Memoars is a user-owned, encrypted memory layer that carries approved context across AI assistants while keeping you in control of what is learned, changed, and forgotten. Only encrypted memory content is written to your bucket. Memory content is ciphertext, while organization, workspace, identity, grant, version, usage, transcript, and proposal metadata may be visible to the coordinator. On an opt-in run, the dreamer will review this lifecycle and propose what to keep, update or merge. Running memoars against your own bucket is free and complete: one agent, one machine, fully encrypted.

About Spanly

Observability for Model Context Protocol (MCP) servers. Built for SaaS engineering teams shipping MCP in production, alongside the Datadog, Sentry, or New Relic you already run. That's how it can tell you a tool name is why agents pick the wrong tool, or a schema is why they pass bad arguments, not just that p95 moved. Health monitors connect to your MCP servers on a schedule, list their tools, prompts and resources, and alert your channels when a server goes down.