--- title: "incognide vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/npc-worldwide-incognide-vs-thedotmack-claude-mem" tools: ["npc-worldwide-incognide", "thedotmack-claude-mem"] --- # incognide vs claude-mem *GraphCanon updated Jul 11, 2026* ## Verdict Pick incognide when incognide is primarily TypeScript; claude-mem is JavaScript; pick claude-mem when claude-mem is primarily JavaScript; incognide is TypeScript. [incognide](https://enpisi.com/incognide.html) reports 454 GitHub stars, 46 forks, and 16 open issues, last pushed Jul 9, 2026. [claude-mem](https://claude-mem.ai) has 87k stars, 7.5k forks, and 252 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [incognide's repository](https://github.com/NPC-Worldwide/incognide) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [incognide](/tools/npc-worldwide-incognide.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | Explore the unknown, build the future, own your data. | Persistent Context Across Sessions for Every Agent | | Stars | 454 | 86,816 | | Forks | 46 | 7,500 | | Open issues | 16 | 252 | | Language | TypeScript | JavaScript | | Adopt for | - | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. | | Persona | - | - | | Runtime | - | - | | License | MIT | Claude-Mem is distributed under the Apache License 2.0, allowing it to be freely used in a variety of development and production environments while maintaining clear licensing terms. | | Categories | AI Agents, LLM Frameworks, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [incognide](/tools/npc-worldwide-incognide.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Days since push | 2d | 1d | | Open issues (now) | 16 | 252 | | Owner type | Organization | User | | Full report | [trust report](/tools/npc-worldwide-incognide/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) | ## Decision facts: claude-mem - **Requirements:** Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported. - **Adopt for:** claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. - **License detail:** Claude-Mem is distributed under the Apache License 2.0, allowing it to be freely used in a variety of development and production environments while maintaining clear licensing terms. ## Choose when ### Choose incognide if… - incognide is primarily TypeScript; claude-mem is JavaScript. - License: incognide is MIT, claude-mem is Apache-2.0. - Tags unique to incognide: llms, ide, agents, ai. - Also covers LLM Frameworks. ### Choose claude-mem if… - claude-mem is primarily JavaScript; incognide is TypeScript. - License: claude-mem is Apache-2.0, incognide is MIT. - Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported.. - Tags unique to claude-mem: chromadb, ai-memory, claude, long-term-memory. - When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ## When NOT to use incognide - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ## When NOT to use claude-mem - When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate. - If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow. ## Common questions ### What is the difference between incognide and claude-mem? incognide: Explore the unknown, build the future, own your data.. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose incognide over claude-mem? Choose incognide over claude-mem when incognide is primarily TypeScript; claude-mem is JavaScript; License: incognide is MIT, claude-mem is Apache-2.0; Tags unique to incognide: llms, ide, agents, ai; Also covers LLM Frameworks. ### When should I choose claude-mem over incognide? Choose claude-mem over incognide when claude-mem is primarily JavaScript; incognide is TypeScript; License: claude-mem is Apache-2.0, incognide is MIT; Requirements: Requires Node.js v20.0.0 or higher.; Must have the latest version of Claude Code with plugin support.; Auto-installs Bun (JavaScript runtime and process manager) if not already present.; Requires uv (Python package for vector search), auto-installation supported.; Tags unique to claude-mem: chromadb, ai-memory, claude, long-term-memory; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ### When should I avoid incognide? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. ### When should I avoid claude-mem? When working in environments where Node.js v20.0.0 or higher cannot be installed, as claude-mem requires this version to operate. If your specific AI agent or tool does not integrate with the supported frameworks listed (e.g., Claude Code, OpenClaw), making context persistence ineffective for your workflow. ### Is incognide or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,816 vs 454). Stars measure visibility, not whether either tool fits your constraints. ### Are incognide and claude-mem open source? Yes - both are open-source projects on GitHub (incognide: MIT, claude-mem: Apache-2.0). ### Where can I find alternatives to incognide or claude-mem? GraphCanon lists graph-backed alternatives at [incognide alternatives](/tools/npc-worldwide-incognide/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([incognide markdown twin](/tools/npc-worldwide-incognide/alternatives.md), [claude-mem markdown twin](/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 [this comparison](/compare/npc-worldwide-incognide-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, incognide or claude-mem? incognide: 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 incognide and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [incognide trust report](/tools/npc-worldwide-incognide/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=npc-worldwide-incognide`](/api/graphcanon/graph?tool=npc-worldwide-incognide) - 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/_