An MCP server that gives AI agents portable persistent memory across Claude Code, Cursor, and any MCP-compatible runtime without per-tool integration
AI agents lose all memory and preferences when a session ends, and the tools that do offer memory (Mem0, Zep, Letta, LangMem) each require their own SDK integration, so memory does not follow you across runtimes. This MCP server installs once and surfaces as a standard tool call that any MCP-compatible agent can read and write against, with no per-runtime wiring. Monetized as a hosted managed tier above an open core, where the premium layer provides larger memory stores, encryption at rest, team sharing, and redaction controls.
Demand Breakdown
Social Proof 2 sources
Gap Assessment
5 tools exist (Mem0, Zep, Letta, LangMem, Cognee) but gaps remain: Requires per-SDK integration for each agent runtime. No native MCP server. A developer using Claude Code AND Cursor AND a custom agent needs three separate integration setups. Memory does not roam across runtimes via a single tool-call interface.; No MCP-native interface. SDK-first architecture ties you to one agent framework at a time. Cross-runtime portability requires custom glue per target..
Features8 agent-ready prompts
Competitive LandscapeFREE
| Product | Does | Missing |
|---|---|---|
| Mem0 | Hosted and open-source memory layer with multi-signal retrieval fusion. 48,000+ GitHub stars. $24M Series A (October 2025, Basis Set Ventures). Python and JS SDKs. | Requires per-SDK integration for each agent runtime. No native MCP server. A developer using Claude Code AND Cursor AND a custom agent needs three separate integration setups. Memory does not roam across runtimes via a single tool-call interface. |
| Zep | Temporal knowledge graph engine (Graphiti) for long-term agent memory. Leads LongMemEval benchmarks. Strong on factual accuracy for structured recall. | No MCP-native interface. SDK-first architecture ties you to one agent framework at a time. Cross-runtime portability requires custom glue per target. |
| Letta | OS-inspired agent memory architecture (evolved from MemGPT). Agents manage their own memory allocation like RAM and disk. | Heavy architecture commitment. Not a drop-in layer you bolt onto an existing Claude Code or Cursor workflow. Requires building inside the Letta runtime. |
| LangMem | LangChain-native memory SDK tightly integrated into the LangChain/LangGraph ecosystem. Handles episodic, semantic, and procedural memory. | LangChain-only by design. Zero portability to Claude Code hooks or Cursor agent context without wrapping the entire agent in LangChain first. |
| Cognee | Research-oriented memory layer focused on the LLM-graph interface and knowledge graph construction from unstructured data. | No MCP server. No zero-config runtime hooks for coding agents. Still early adoption with limited runtime adapters outside Python research workflows. |
Leads158BUILDER
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