Memory MCP vs Sequential Thinking MCP
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | Memory MCP | Sequential Thinking MCP |
|---|---|---|
| GitHub Stars | 82.7K | 82.7K |
| Contributors | 430 | 430 |
| Last Commit | Mar 29, 2026 | Mar 29, 2026 |
| Open Issues | 628 | 628 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | mcp-servers | mcp-servers |
| Trending | No | No |
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About Memory MCP
The official Anthropic memory MCP server gives AI assistants persistent, cross-session memory using a local knowledge graph stored as a JSON file. Claude can create entities (people, projects, concepts), record relations between them, and add observations over time — then recall that information in future sessions. Ideal for long-running projects where continuity matters: the assistant remembers your architecture decisions, team conventions, and in-progress work without you having to repeat context.
View full listingAbout Sequential Thinking MCP
Sequential Thinking MCP provides a structured scratchpad tool that encourages AI models to break hard problems into explicit, numbered reasoning steps before committing to an answer. Each thought can branch, revise, or hypothesize, and the final answer is only emitted after the chain is complete. This dramatically improves accuracy on multi-step coding tasks, architecture decisions, debugging sessions, and any problem that benefits from chain-of-thought decomposition — without burning extra context on unstructured rambling.
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