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How BaseThread is different
There are great tools for giving one AI a memory. BaseThread is the only one that gives your whole team one shared context, across every AI tool they use.
The landscape
What people sometimes mistake us for
Four categories buyers run into when researching team AI context. Each one is real and good at what it does. Each one plays a different rung from us.
AI memory APIs and infrastructure
Mem0, Supermemory, Zep, Letta, Cognee
Developer infrastructure: APIs and SDKs engineers use to add per-user memory to their own apps. Mem0 ships as an open-source library with a managed service on top; Supermemory's pitch is benchmark-leading retrieval as a memory layer; Zep brings a temporal knowledge graph for agents; Letta and Cognee are open-source agent-memory frameworks.
Where we're different: BaseThread is a finished team product, not a primitive. You could even build something BaseThread-shaped on top of these. Different layer.
Developer context tooling
LangChain, LangSmith Context Hub
Prompt management, observability, and context engineering for developers building agents. LangSmith Context Hub is the closest in spirit to us, a central place for teams to store and version agent context, but it is human-authored file management for developers, version-controlled and manual, not AI-witnessed capture of how a team actually works.
Where we're different: Tooling to build and debug agents, scoped to the developer. BaseThread is the shared team context the whole company writes to and reads from.
Built-in AI memory
Claude, ChatGPT, Cursor
Personal memory inside a single tool. Claude remembers your chats on Team and Enterprise plans. ChatGPT has workspace memory plus shared Projects. Cursor reads .cursor/rules in your repo plus Memory Banks. Each one is good at what it does; each one is personal, single-tool, and either manual or chat-derived.
Where we're different: Powerful for one person inside one app. Doesn't cross tools, doesn't compound across your team.
AI knowledge tools
Notion AI and similar
A team wiki with an AI assistant on top. Good for the long tail of human-written docs, runbooks, and reference material, and the AI can answer questions across that corpus.
Where we're different: Humans write and maintain it, it lives in one app, and your other AI tools don't read or write it as they work. BaseThread is AI-witnessed and cross-tool.
In detail
BaseThread, dimension by dimension
Nine dimensions a team actually evaluates, with BaseThread first and each category next to it. Wide tables scroll horizontally on phones.
BaseThread
Team shared context
Built-in AI memory
Claude / ChatGPT / Cursor
Memory APIs
Mem0 / Supermemory
Developer context tooling
LangSmith Context Hub
Mem0, Supermemory, Zep, Letta and Cognee are excellent memory infrastructure. They're what a developer reaches for to add memory to an app. They're a different layer from a team product.
Honest take
When to use what
Different jobs, different tools. Pick the rung that matches the job in front of you.
Want to give your app a memory feature?
Use a memory API.
Want one AI assistant to remember your chats?
Built-in memory is great.
Want your whole team's AI tools on the same page automatically?
That's BaseThread.
What only BaseThread is, all at once
Team-shared. Cross-tool. AI-witnessed. Company-structured.
And with tasks, it coordinates the work, assign, accept, and track across tools, not just remembers it.
Team-shared
One context for the whole company, not a per-person profile.
Cross-tool
Works across Claude, ChatGPT, Cursor, any MCP client. Not locked to one vendor's app.
AI-witnessed
Each member's local AI logs activity, decisions, and tasks as work happens. No rules to write, no projects to set up.
Company-structured
Company → Products → Teams → Projects → Me, with RBAC, a context graph, and cloud harmonization pushed back to everyone.
Bring your whole team onto one shared context
BaseThread is in private beta. Request access and we'll get back to you within a couple of days.
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