If you use Cursor for coding, Claude Code for debugging, and local agents for automation, you almost certainly have a context problem.
Every tool acts like an isolated employee.
One assistant forgets what the other just learned.
The biggest bottleneck in multi-agent workflows right now isn’t reasoning.
It’s collective amnesia, combined with zero communication between agents.
@Memmy_ai just launched a smart fix for this: a local, cross-agent memory layer.
Instead of re-pasting your context everywhere, Memmy gives your stack a shared memory hub:
→ accumulate knowledge once, then use it across Cursor, Codex, and OpenClaw
→ automatically scan and import your existing agent history, so you don’t have to start from zero
→ keep your memory local, while model usage depends on your chosen provider or BYOK setup
And it isn’t just a memory plugin.
It’s a complete personal AI runtime with both MCP and a CLI.
Memmy officially launched on Product Hunt, and the team is giving early users experiencing context fragmentation a free trial with 2M GPT tokens.
Check it out and support the team with an upvote:
→ producthunt.com/products/mem…
Best part?
It’s also open-source for devs who want to build their own agents 🔥
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