The public launch should lead with shared private context, not generic AI productivity.
Product direction
via Claude Desktop
Private context infrastructure
Sutra is a shared, private context layer for your AI tools. Store durable decisions and preferences once, then carry them between compatible agents without starting over.
One mind. Every AI. Always under your control.
Memory index
Review the durable context available across connected clients.
The public launch should lead with shared private context, not generic AI productivity.
Product direction
via Claude Desktop
Keep implementation updates direct: outcome first, supporting detail second.
Working preferences
via ChatGPT
Context remains inspectable and under your control.
Tested across 22 agents
View allWhy Sutra
Carry stable preferences, project constraints, and decisions into the next conversation, even when the client changes.
Search memories, inspect their source, and organize context into clusters instead of trusting an invisible black box.
Use the same private context layer through supported MCP and API connections rather than maintaining separate AI profiles.
Real workflow
A connected agent writes the durable part. Sutra keeps it private and inspectable. Another connected agent can retrieve it when relevant.
Connected client
Remember that the launch leads with private shared context, and team billing stays out of scope.
Private context layer
Stores the durable decision in Product direction, with its source and importance visible in your workspace.
Another connected client
Picks up the same launch constraints without making you rebuild the context from scratch.
Sutra shares durable memories that connected agents write and read. It does not copy entire conversations between clients.
Portable skills
Skills package reusable instructions and supporting resources for an agent. Memories are different: they preserve the decisions, facts, and preferences that make the work yours.
Nothing becomes available by accident.
Every uploaded or edited version starts Disabled and remains immutable.
Research synthesis
Reviewed immutable version / v3
Skill bundle
One root SKILL.md, with optional private resources in the same reviewed bundle.
Humans upload in the dashboard. Connected agents can submit drafts, but agent-submitted versions stay Disabled.
Inspect SKILL.md and every resource. Uploads and edits create a new version instead of changing an existing one.
Choose the reviewed version agents may retrieve. Disable it again without deleting the skill or its history.
One enabled version, available across connected clients.
Claude, Copilot, OpenCode, and other MCP clients can retrieve the same approved SKILL.md and resources through Sutra.
Install the CLI
Connect Claude Code or OpenCode without hand-editing configuration. Sutra merges safely and installs the instructions each agent needs for the next session.
Open connection setupnpm install -g @shivnathtathe/sutra-clisutra connect claude-codesutra connect opencodeSecurity and control
Context is useful only when you can govern it. Sutra gives every connection an identity and gives you a workspace to review what remains.
Issue separate API keys for each agent or environment so access is not shared indiscriminately.
Turn off one key without disrupting the rest of your connected workspace.
Review memory content, source agent, cluster, tags, and activity from your own dashboard.
Compatible clients
Connect Sutra through MCP or its API. Client support depends on the connection methods each AI product exposes.
One private context layer