memsprout
Shared team memory piped into Cursor, Claude Code and any MCP client
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memsprout.comAbout memsprout
memsprout is shared memory for a team's AI agents, delivered over MCP. The problem it names is specific: context does not cross people. Product's decisions never reach the developer's agent, the developer's gotchas never reach QA's, and each AI knows exactly one person's slice of the truth. Per-repo rules files are the usual workaround and they fail in two ways — three to five CLAUDE.md and .cursorrules files drift out of date the day after they are written, and they live in one repository rather than across the team. memsprout replaces that with a capture-once model: each person stores decisions, gotchas and domain context as they work, and agents write memories back through the same MCP tools, so the store grows from actual work rather than a wiki nobody maintains. Retrieval happens inside whatever agent is running — Claude Code, Cursor, GitHub Copilot, ChatGPT or any MCP client connects to the hosted endpoint at mcp.memsprout.com, and a `search_memories` call returns scoped results with attribution and recency, so an agent asked about an auth convention gets the answer a named colleague captured two days ago rather than inventing one. Memories are organised into Spaces for scoping, with version history, and sharing works across members. It is a straightforward fix for the most common failure mode in team agent use, which is everyone re-explaining the same three facts all day.
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Key Features
memsprout Pros & Cons
✅ Pros
- +Replaces drifting per-repo rules files with one live store
- +Agents write memories back, so the store maintains itself
- +Per-user pricing is modest next to the agent subscriptions it serves
⚠️ Cons
- −No free tier beyond the 14-day trial
- −Hosted only — team context lives on a third-party service
- −Value depends on teammates actually capturing context
Who Is memsprout Best For?
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