We’ve been building in this space too. The big pain we kept hitting is repeated context, messy memory, and bloated prompts.
RAG alone isn’t enough for agent workflows. You need:
- memory that evolves (e.g. “my daughter is 10 → now 12”)
- entity linking (“my daughter” = Emma = user_42)
- context deduping + summarization under token budgets
We ended up building Flumes, an API that turns unstructured user history into structured facts + human-readable summaries. Think memory + graph + packing, all wrapped in one.
If curious: https://www.flumes.ai
Would love to chat more if others are solving this differently.
alex-lund•5mo ago
RAG alone isn’t enough for agent workflows. You need: - memory that evolves (e.g. “my daughter is 10 → now 12”) - entity linking (“my daughter” = Emma = user_42) - context deduping + summarization under token budgets
We ended up building Flumes, an API that turns unstructured user history into structured facts + human-readable summaries. Think memory + graph + packing, all wrapped in one.
If curious: https://www.flumes.ai Would love to chat more if others are solving this differently.