Sutra

$20/moStarting price

0Popularity

About Sutra

Sutra provides a shared, private context infrastructure that allows AI tools to store durable decisions, preferences, and project constraints in a single workspace. The tool enables connected agents to retrieve this context without restarting conversations or rebuilding context from scratch when switching between clients. Users can review, organize, and inspect stored memories, including their source and importance, through a dedicated dashboard. Sutra supports portable skills, which package reusable instructions and resources into immutable bundles that can be enabled or disabled across connected clients. The system emphasizes security and control by issuing scoped API keys, allowing independent revocation, and ensuring all context remains inspectable. Connections are established via MCP or API, with support varying by client capabilities. The tool is designed to maintain privacy by keeping context under user control and preventing accidental exposure of data.

Key features

Private context storage for decisions and preferences
Memory indexing and clustering
Portable skills with version control
Scoped API keys for access management
Dashboard for inspecting and reviewing context
MCP and API client connections
Immutable skill bundles with review workflow
Terminal-based CLI for quick setup

Use cases

Maintaining consistent project constraints across different AI agents
Storing and retrieving durable decisions without retelling context
Deploying reusable instructions and resources to multiple AI tools

Pros

Shared private context layer across multiple AI tools
Durable memory storage with inspectable sources and versions
Scoped API keys for granular access control
Portable skills with immutable, reviewable bundles
Dashboard for reviewing and organizing context

Cons

No free tier or pricing details provided
Team billing and collaboration features excluded
Limited to supported MCP and API connections
Agent-submitted drafts remain disabled by default

Frequently asked questions about Sutra

What is Sutra and what does it do?

Sutra is a shared, private context infrastructure that allows AI tools to store durable decisions, preferences, and project constraints in a single workspace. It enables connected agents to retrieve this context without restarting conversations or rebuilding context when switching between clients.

Who is Sutra designed for?

Sutra is designed for users who work with multiple AI tools and need to maintain consistent context across different clients or agents. It suits individuals or teams who want to avoid repeating information and ensure privacy and control over their data.

How does Sutra ensure privacy and control over stored context?

Sutra issues scoped API keys for each connection, allowing independent revocation and ensuring all context remains inspectable through a dedicated dashboard. Users can review, organize, and inspect stored memories, including their source and importance.

What are portable skills in Sutra and how do they work?

Portable skills are immutable bundles that package reusable instructions and resources for an agent. Users can upload, review, and enable or disable these skills across connected clients without altering the original bundle or exposing it accidentally.

How do I get started with Sutra?

Users can start by creating a private workspace and installing the Sutra CLI. The CLI allows connecting supported clients like Claude Code or OpenCode with a single command, enabling shared context without manual configuration.

What connection methods does Sutra support?

Sutra supports connections via MCP or its API, depending on the capabilities of the AI tools being used. Client support varies based on the connection methods each AI product exposes.