Smarter over time
GoodMem's auto-optimizer continuously fine-tunes on your data, so recall and relevance improve the more your agents use it.
Adding a memory layer makes your agents sharper over time, more grounded, and far cheaper to run.
GoodMem's auto-optimizer continuously fine-tunes on your data, so recall and relevance improve the more your agents use it.
Retrieve only the context that matters instead of stuffing full history into every prompt — cutting 10–40% of your token bill.
Read the benchmarkPersistent, auditable memory across sessions means your agents stop forgetting context and stop making things up.
Prototype fast, deploy anywhere. GoodMem keeps your retrieval pipeline consistent whether you run in the cloud, on-prem, or on local hardware.
From simple document Q&A to enterprise knowledge systems with semantic search and persistent context.
"Chat over PDFs and Office files with page-level visual grounding, then scale to organizational knowledge."
From basic conversational responses to intelligent agents with persistent memory and personalization.
"Begin with simple chat, evolve to contextual assistants that remember user preferences and history."
From simple task automation to complex multi-agent systems with shared memory and coordination.
"Start with single-step tasks, evolve to orchestrated agent teams with persistent context sharing."
The ability to swap providers, mix local and cloud infrastructure, and keep the retrieval pipeline consistent across all of them is genuinely impressive.
Two ways to run GoodMem — fully managed on GoodMem Cloud, with a built-in auto-optimizer that continuously fine-tunes your instance, or self-hosted on your own infrastructure. No lock-ins, no limits.