Your AI tools finally shareone project memory.
Connect Claude Code, Cursor, and other MCP-compatible AI tools to MeMesh and they all read and write the same project memory: each project workspace keeps its knowledge isolated, so you can switch tools or start a new conversation without losing context — and without mixing unrelated projects.
MeMesh is now in Alpha release
Access is currently limited while we learn from early feedback. If you want to try it, request Alpha version access first.
Why teams use it
Memory follows the project, not the conversation
Each project gets its own workspace
Story bibles, posting schedules, website notes, source docs, agents, and teammates stay attached to the project they belong to.
Roadmap and agent progress are visible
See what agents are doing, what is blocked, what needs approval, and what changed in the project.
Knowledge can come from the tools you already use
MeMesh brings approved Google Drive, Obsidian, and local MeMesh sources into the selected project workspace knowledge graph through read-only connector paths. Bidirectional edits and deletion propagation are not shipped.
Get started in 3 simple steps
You do not need to learn a complex system first. Set up one project workspace, try one real task, and see if the flow works for you.
Create your account
Start with your own account and one project workspace so you can try things safely before inviting others.
Connect the AI tools you already use
Use the MCP setup to connect Claude Code, Cursor, or your provider, so every tool reads and writes the same project memory.
Start work and review results
Give AI a task, follow the progress, and approve important results before moving on.
Why it feels clearer
More than chat: it keeps AI work organized
MeMesh keeps each project workspace's progress, memory, roles, and review in one place so the work is easier to understand.
No shared login, no confusion about who changed what
Each person uses their own account. Team work starts when people join the same project workspace.
Every project has its own boundary
You can keep story bibles, posting queues, websites, source docs, and memory scoped to the right project.
Team work lives in the project workspace
The team can see the same roadmap, tasks, approvals, assigned agents, and next steps.
You can always look back at what happened
Results and decisions stay attached to the work, so follow-up is easier.
Why teams can trust the workflow
Review important output before it is used
Put a human check in front of sensitive or important results.
See where each task stands
Know what is running, what is waiting, and what needs help.
Keep a record of decisions
You can look back at what happened and why a result was accepted.
Break bigger work into trackable steps
Larger tasks are easier to follow when they are split into smaller parts.
Invite teammates with the right access
Share the work without sharing one login or giving everyone the same permissions.
Connect your own AI tools
Bring the providers, agents, or runtimes your team already trusts.
Already have your own agents or AI tools?
Bring them into the selected project workspace, test the real flow, and decide later how far you want to roll it out.
Currently in Alpha release
Start by checking whether this solves the right problem
If you want AI work to feel less chaotic, easier to review, and easier to run with a team, this section helps you decide whether MeMesh matches that need.
Start by seeing whether the product matches the way you actually work. If it does, request Alpha version access.
- Built for people trying to reduce AI workflow confusion
- Important output can be reviewed before it is used
- Teams can follow the same work in one place
- Request Alpha version access if the fit looks real
If this sounds like your problem, request access.
If you want clearer AI work, safer result review, and less team coordination drift, tell us about your workflow and we will follow up.