Private preview · Now onboarding

Give every agentthe same memory.

Stop briefing every agent from scratch. ScientiaMesh gives Claude, ChatGPT, OpenClaw, and your own agents one persistent, source-linked memory.

See the memory flow
MCP-nativeScoped by meshEvery answer traceable
product.mesh
live
Memory graph
Context is connecting
24 nodes
OpenClawasked product.mesh
now

What did we decide about the landing page?

Lead with shared agent memory—and prove it with the product, not a wall of feature cards.

Launch brief Design decision2 sources
Connected onceClaudeChatGPTOpenClawCustom MCP
One memory layer
ClaudeChatGPTOpenClawCustom agents
via MCP · CLI · API
01The cold-start problem

Your agents are brilliant. Their memory is a mess.

Context lives in docs, tickets, voice notes, chat history, and your head. Every new run starts by reconstructing a world another agent already understood.

Without the mesh
  1. 01Rewrite the same project brief
  2. 02Copy context between assistants
  3. 03Trust answers without seeing the source
With ScientiaMesh
  1. 01Capture a decision once
  2. 02Query it from any connected agent
  3. 03Follow every answer back to evidence
02The memory loop

One fact in. Useful context everywhere.

ScientiaMesh turns the material you already create into governed memory your agents can actually use—without asking you to reorganize your life.

01Capture

Throw anything at it.

A voice note, project brief, pasted thought, link, or tool event becomes a source—not another orphaned file.

  • Text, files, voice, links, and events
  • Capture from CLI, web, mobile, or an agent
Capture streamproduct.mesh
Voice noteToday · 10:42
02:14

“The landing page should show the memory flow, not explain it six different ways.”

Launch brief.pdf12 pages · 4.8 MB
indexed
Research notesWeb capture · 8 sources
indexed
[email protected] building memory
02Connect

The mesh finds the shape.

Synapses extract entities, topics, and relationships while keeping lineage back to the original material.

  • Graph-native, source-linked memory
  • Scoped personal, work, and shared meshes
product.mesh
source-linked scoped
Relationship discoveredLanding page → proves → Agent memory
03Recall

Get the answer and the receipts.

Any connected assistant can retrieve the same governed context, with citations your team can inspect.

  • One memory across MCP-native agents
  • Evidence stays attached to every answer
Ask the mesh
ClaudeOpenClawChatGPT
E

What did we decide about the landing page—and why?

OpenClawUsing product.mesh
grounded

Lead with shared agent memory. The old page explained the category, but never showed the product. The new direction makes the capture → connect → recall loop visible above the fold.

[1]
[2]
Evidence
01
Landing review“The product never appears.”
02
Positioning decisionAgent builders are the initial wedge.
03Built for agent builders

A memory layer, not another assistant.

Keep your stack. ScientiaMesh slots underneath it through MCP, the CLI, and the API—then keeps every run grounded in the same evolving context.

MCP-native

Connect Claude, ChatGPT, OpenClaw, or your own runtime to the same memory contract.

Built for loops

Write decisions and execution output back so the next run starts smarter.

No stack rewrite

Use the API, CLI, or MCP server you already know and keep your current tools.

Terminal · example flow secure
$smesh capture text "Decision: lead with shared agent memory" --tag positioning
capture accepted product.mesh
↳ source linked 7c8a…4e1
$smesh ask "What did we decide about the landing page?"
smesh

“Lead with shared agent memory—and prove it with the product.”

[1][2]2 linked sources
01 / Portable

Agent-agnostic

Your memory should outlive whichever model or interface is fashionable this month.

02 / Verifiable

Source-aware

Useful recall includes the evidence—not just a confident sentence.

03 / Governed

Permissioned

Personal, work, and shared context stay inside explicit boundaries.

Private preview

Build agents that remember what matters.

Join the preview and help shape the memory layer for real agent workflows.

No spam. Just an invitation when your preview workspace is ready.