OpenMemory and Corivo both respond to the same problem: AI tools forget too much. The difference is where the product sits.
OpenMemory is a memory layer that AI tools can use. Corivo is the local agent that watches your work and acts from that context.
TL;DR
- OpenMemory is strongest when the job is sharing memory across AI tools or agents.
- Corivo is strongest when the job is knowing the work in front of you and doing something with it.
Memory is part of Corivo, but Corivo is not only memory. It also has screen context, tool connections, and an executable local agent.
What OpenMemory does well
OpenMemory focuses on memory as a shared layer:
- Persist facts and preferences across AI tools.
- Give agents access to remembered context.
- Make memory more portable than a single chatbot's private memory.
That matters because a lot of AI memory today is trapped inside one vendor's surface.
What Corivo does
Corivo starts from the work itself:
- Reads the active app through macOS accessibility APIs, with no screenshots.
- Connects to the tools where work happens: Notion, Slack, Gmail, Calendar, GitHub, GitLab, Linear, Google Docs, Sentry, Intercom, Mem, Feishu, and more.
- Keeps context local-first on your Mac.
- Executes commands through Corivo's own agent.
Side by side
| OpenMemory | Corivo | |
|---|---|---|
| Core job | Shared AI memory layer | Mac-native local agent |
| Context source | Memories written or synced into the layer | Active screen + connected tools + local history |
| Screen context | Not the core product | Yes — accessibility APIs, no screenshots |
| Action surface | Depends on the tool using it | Corivo executes commands directly |
| Best fit | Portable memory for AI tools | Ambient context and action for daily work |
When each one wins
Use OpenMemory if your main need is a memory layer that multiple AI tools can reference.
Use Corivo if your main need is an agent that already knows what you are working on and can act without forcing you to paste the context.