--- title: "mempalace vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mempalace-mempalace-vs-thedotmack-claude-mem" tools: ["mempalace-mempalace", "thedotmack-claude-mem"] --- # mempalace vs claude-mem Neutral, constraint-first comparison with live GitHub stats. | | [mempalace](/tools/mempalace-mempalace.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | The best-benchmarked open-source AI memory system. And it's free. | Persistent Context Across Sessions for Every Agent | | Stars | 57,095 | 86,377 | | Forks | 7,376 | 7,473 | | Open issues | 596 | 235 | | Language | Python | JavaScript | | Adopt for | MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities. | Claude-Mem offers persistent context compression across sessions for multiple AI agents including Claude Code, OpenClaw, and Codex. It captures interactions during sessions, compresses the context using AI, and reintrodu | | Persona | - | - | | Runtime | - | - | | License | MIT | Claude-Mem is released under the Apache-2.0 license. | | Categories | Data & Retrieval, Vector Databases | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mempalace](/tools/mempalace-mempalace.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Open issues (now) | 596 | 235 | | Owner type | Organization | User | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/mempalace-mempalace/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) | **Typed relationship:** mempalace _(alternative)_ claude-mem Both MemPalace and claude-mem deal with persistent context for agents, differing in their approach to achieve this functionality. ## Decision facts: mempalace - **Adopt for:** MemPalace is a hierarchical, local-first AI memory system that stores verbatim conversation history and offers semantic search capabilities. ## Decision facts: claude-mem - **Pricing:** freemium - The software itself is free to use due to its open-source nature, but there may be costs associated with the infrastructure it runs on or optional advanced services. - **Adopt for:** Claude-Mem offers persistent context compression across sessions for multiple AI agents including Claude Code, OpenClaw, and Codex. It captures interactions during sessions, compresses the context using AI, and reintrodu - **License detail:** Claude-Mem is released under the Apache-2.0 license. ## Choose when ### Choose mempalace if… - mempalace is primarily Python; claude-mem is JavaScript. - License: mempalace is MIT, claude-mem is Apache-2.0. - Both MemPalace and claude-mem deal with persistent context for agents, differing in their approach to achieve this functionality. - Tags unique to mempalace: memory, llm, ai, python. - Also covers Vector Databases. - - You require local storage for conversation history and want to avoid cloud dependencies. ### Choose claude-mem if… - claude-mem is primarily JavaScript; mempalace is Python. - License: claude-mem is Apache-2.0, mempalace is MIT. - Pricing: The software itself is free to use due to its open-source nature, but there may be costs associated with the infrastructure it runs on or optional advanced services.. - Both MemPalace and claude-mem deal with persistent context for agents, differing in their approach to achieve this functionality. - Tags unique to claude-mem: embeddings, artificial-intelligence, ai-memory, long-term-memory. - Also covers AI Agents. - claude-mem ships an MCP server manifest. - - Use Claude-Mem when you need to maintain a consistent and detailed memory of interactions over time with agents such as Claude Code or OpenClaw. ## When NOT to use mempalace - - When requiring real-time collaboration across multiple devices, as MemPalace is focused on local storage. - - If your project strictly requires cloud-based solutions for ease of deployment and scalability. ## When NOT to use claude-mem - - Avoid using Claude-Mem if your application does not require persistent context storage between sessions or has a preference for manual control over interaction history management. - - Not recommended for users who are only interested in short-term interactions and do not need the feature of compressing session content for future sessions. ## Common questions ### What is the difference between mempalace and claude-mem? mempalace: The best-benchmarked open-source AI memory system. And it's free.. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose mempalace over claude-mem? Choose mempalace over claude-mem when mempalace is primarily Python; claude-mem is JavaScript; License: mempalace is MIT, claude-mem is Apache-2.0; Both MemPalace and claude-mem deal with persistent context for agents, differing in their approach to achieve this functionality; Tags unique to mempalace: memory, llm, ai, python; Also covers Vector Databases; - You require local storage for conversation history and want to avoid cloud dependencies. ### When should I choose claude-mem over mempalace? Choose claude-mem over mempalace when claude-mem is primarily JavaScript; mempalace is Python; License: claude-mem is Apache-2.0, mempalace is MIT; Pricing: The software itself is free to use due to its open-source nature, but there may be costs associated with the infrastructure it runs on or optional advanced services.; Both MemPalace and claude-mem deal with persistent context for agents, differing in their approach to achieve this functionality; Tags unique to claude-mem: embeddings, artificial-intelligence, ai-memory, long-term-memory; Also covers AI Agents; claude-mem ships an MCP server manifest; - Use Claude-Mem when you need to maintain a consistent and detailed memory of interactions over time with agents such as Claude Code or OpenClaw. ### When should I avoid mempalace? - When requiring real-time collaboration across multiple devices, as MemPalace is focused on local storage. - If your project strictly requires cloud-based solutions for ease of deployment and scalability. ### When should I avoid claude-mem? - Avoid using Claude-Mem if your application does not require persistent context storage between sessions or has a preference for manual control over interaction history management. - Not recommended for users who are only interested in short-term interactions and do not need the feature of compressing session content for future sessions. ### Is mempalace or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,377 vs 57,095). Stars measure visibility, not whether either tool fits your constraints. ### Are mempalace and claude-mem open source? Yes - both are open-source projects on GitHub (mempalace: MIT, claude-mem: Apache-2.0). ### Where can I find alternatives to mempalace or claude-mem? GraphCanon lists graph-backed alternatives at /tools/mempalace-mempalace/alternatives and /tools/thedotmack-claude-mem/alternatives (/tools/mempalace-mempalace/alternatives.md, /tools/thedotmack-claude-mem/alternatives.md), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at /compare/mempalace-mempalace-vs-thedotmack-claude-mem.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mempalace or claude-mem? mempalace: Very active. claude-mem: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for mempalace and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: mempalace: /tools/mempalace-mempalace/trust; claude-mem: /tools/thedotmack-claude-mem/trust. --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mempalace-mempalace`](/api/graphcanon/graph?tool=mempalace-mempalace) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_