Bring the context back
Recall relevant project knowledge when a task needs it, instead of pasting an entire conversation into every prompt.
Built for the context that matters
New session.
Same understanding.
Your best project knowledge shouldn’t end with a chat. Memora is building portable memory that carries decisions, context, and lessons forward with your AI agents.
Early-stage product · Local-first foundation · Your project’s knowledge
project / memoryIllustrative example
“What did we decide about our API?”
Keep the boundary clear.
Route changes through the application layer. Keep transport code focused on input and output.
CaptureReviewRecall
One project. A familiar memory workflow.
CodexClaude CodeCursorCLI + MCP
Project guidance integrations in the Accuracy Memory foundation. MCP setup is explicit.
Keep the progress
Less starting over.
More building on what you know.
Decisions get buried in conversations. Tools change. New sessions begin without the lessons that made the last one useful.
Keep knowledge readable
The local-first foundation stores canonical memory as Markdown. Inspect it, version it, and carry reviewed knowledge with your project.
Give lessons a review step
Capture observations as candidates. Use evidence, proposed changes, and governed review before promoting updates to durable memory.
A loop that carries forward
Remember with intent.
Built on Accuracy Memory: a provider-neutral runtime with the same memory workflow through CLI and MCP.
- 1
Recall
Bring relevant, bounded context into the current task.
- 2
Capture
Save a useful observation with its supporting evidence.
- 3
Review
Inspect proposed updates before they become durable knowledge.
- 4
Carry forward
Use reviewed memory across future tasks and supported tools.
Made for real project work
The things you shouldn’t
have to explain twice.
Architecture decisions
Keep the reasoning behind boundaries and conventions available for the next implementation task.
Lessons from debugging
Turn a verified root cause into a reviewable lesson that can help with a similar issue later.
Context across tools
Keep reviewed project knowledge useful as you move between supported coding assistants.
Good questions
A little more context.
What is Memora?
Memora is an early-stage product building portable memory for AI agents. Its engineering foundation, Accuracy Memory, provides local-first canonical Markdown, retrieval, candidate capture, and governed memory updates through CLI and MCP.
Is this a hosted enterprise platform?
The current foundation is a local-first developer runtime. Shared enterprise memory is the longer-term direction. This website does not provide hosted workspaces, user accounts, or a self-service cloud product.
Does every observation become permanent memory?
No. Candidate capture and canonical memory are separate. Accuracy workflows produce proposals, with review and publication controls before proposed knowledge becomes canonical.
Does all processing stay on my machine?
Canonical memory is project-owned. Optional model-backed features can send authorized content to configured providers under runtime policy. Your host and provider settings matter. Read about the trust boundaries.
How can I try it or discuss a use case?
Contact us with your coding tools and the knowledge you want to preserve. We can discuss the current foundation and fit for your workflow. There is no public paid plan or checkout on this website.
Build on what came before
Your next session
deserves a head start.
Tell us what your agents keep forgetting.
Start a conversation