What is Streamient?
The platform supports structured notes, persistent AI memories, URL bookmarks with extracted content, stored email threads, project context, and knowledge-graph relationships. Users can inspect, edit, connect, search, and export the information rather than relying on an opaque AI memory system. Notes are maintained as plain Markdown and can be synchronized through Git.
Streamient connects this shared memory to AI clients through the Model Context Protocol (MCP). Claude, Cursor, ChatGPT, Windsurf, Zed, VS Code, and other compatible MCP clients can read from and write to Streamient records according to user permissions. The platform currently exposes 44 MCP tools.
The product also includes a browser extension for capturing URLs and notes while browsing, mobile applications for iOS and Android in public beta, semantic search, AI chat, bidirectional Git synchronization, and self-hosting. Developers can additionally use the REST API to manage projects, notes, memories, URLs, emails, graph links, and knowledge search.
A key positioning point is that Streamient is intended for teams rather than being merely a developer-facing memory API. The company explicitly describes it as a visible shared memory workspace where people can inspect and correct what AI knows.
Streamient Features
Open-source platform with fully inspectable and editable memory storage, enabling teams to see, fix, and trust their AI context rather than relying on opaque systems
Broad MCP integration supporting Claude, Cursor, ChatGPT, Windsurf, Zed, and VS Code, allowing multiple AI clients to read from and write to shared team memory
Versatile data aggregation combining structured notes, persistent AI memories, URL bookmarks with extracted content, stored emails, Git context, and knowledge-graph relationships in one searchable workspace
Git-synchronized Markdown notes enabling version control and collaboration workflows for documentation and knowledge management
Freemium pricing model starting at $0.00 with subscription options, accessible at streamient.com/pricing
Streamient Pricing
Check the official vendor site for volume discounts, regional tiers, and enterprise terms.
Streamient Pros and Cons
✓ Key Strengths (Pros)
- • Open-source platform with fully inspectable and editable memory storage, enabling teams to see, fix, and trust their AI context rather than relying on opaque systems
- • Broad MCP integration supporting Claude, Cursor, ChatGPT, Windsurf, Zed, and VS Code, allowing multiple AI clients to read from and write to shared team memory
- • Versatile data aggregation combining structured notes, persistent AI memories, URL bookmarks with extracted content, stored emails, Git context, and knowledge-graph relationships in one searchable workspace
- • Git-synchronized Markdown notes enabling version control and collaboration workflows for documentation and knowledge management
- • Freemium pricing model starting at $0.00 with subscription options, accessible at streamient.com/pricing
⚠ Considerations & Limitations (Cons)
- • No customer reviews or ratings available (review count: 0, average rating: null), limiting third-party validation of product performance and user satisfaction
- • As a relatively new or emerging product in the knowledge management space, team adoption and market traction are not yet established or proven
- • Open-source nature means self-hosting responsibility falls on users, requiring technical resources for deployment, maintenance, and security management
- • Specific enterprise security certifications, compliance standards (SOC 2, GDPR, HIPAA), and advanced admin controls are not mentioned in available product documentation
- • The platform currently exposes only 44 MCP tools, which may limit advanced automation or complex workflow requirements