Launching today

pumaDB
a small hosted memory layer for AI agents
127 followers
a small hosted memory layer for AI agents
127 followers
Most AI agent workflows lose useful context between sessions, tools, and chats. The usual fixes are either too manual, like copying notes into docs, or too heavy, like setting up a database, vector store, or custom RAG stack. pumaDB gives agents a simple shared place to save and reuse notes, facts, preferences, project context, transcripts, task state, and other useful memory. No database setup, vector DB, or infrastructure to manage





pumaDB
The transcripts example resonates. I've got the same problem with a different domain. Iterative LLM workflows where each session starts cold means re-feeding context that should persist.
For "what would agents remember automatically": the thing I'd actually pay for is automatic capture of failed attempts and why they failed. Most memory tools focus on remembering successful artifacts. The harder and more valuable thing is remembering the dead ends so the agent doesn't try the same broken approach next session.
MCP-first feels right for the dev audience. Curious if you're planning to expose the memory as a queryable index later or keeping it strictly key/notes.
I have seen teams, including my own, avoid memory because setting up a database or vector store feels too heavy for early workflows. How do you decide what should be saved as memory and what should stay out? Can developers inspect and clean up memory when an agent saves something wrong or outdated?
Nice launch. The memory Iād trust most is not just facts, but attempts: what the agent tried, why it failed, and which tool or write it was allowed to use next.
If a memory is wrong or stale, does pumaDB show who or what wrote it and let builders expire or correct it?
I really like the pitch for this. I too have run into this problem, and not everyone has the time, energy, and willpower to research all of the different skills and scaffolding and harness options to make your own ideal memory layer. Speeding up that whole process, to me, is a very empowering thing to give to people.