--- title: "uncloud vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/psviderski-uncloud-vs-thedotmack-claude-mem" tools: ["psviderski-uncloud", "thedotmack-claude-mem"] --- # uncloud vs claude-mem *GraphCanon updated Jul 15, 2026* ## Verdict Pick uncloud when uncloud is primarily Go; claude-mem is JavaScript; pick claude-mem when claude-mem is primarily JavaScript; uncloud is Go. [uncloud](https://uncloud.run) reports 5.3k GitHub stars, 167 forks, and 84 open issues, last pushed Jul 14, 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 [uncloud's repository](https://github.com/psviderski/uncloud) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [uncloud](/tools/psviderski-uncloud.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. Bridging the gap between Docker and Kubernetes ✨ | Persistent Context Across Sessions for Every Agent | | Stars | 5,349 | 86,816 | | Forks | 167 | 7,500 | | Open issues | 84 | 252 | | Language | Go | JavaScript | | Adopt for | - | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | 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, Computer Vision, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [uncloud](/tools/psviderski-uncloud.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Open issues (now) | 84 | 252 | | Full report | [trust report](/tools/psviderski-uncloud/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 uncloud if… - uncloud is primarily Go; claude-mem is JavaScript. - Tags unique to uncloud: containers, deployment, devops, docker. - Also covers Computer Vision. - uncloud ships Docker support for self-hosted deployment. ### Choose claude-mem if… - claude-mem is primarily JavaScript; uncloud is Go. - 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: ai-agents, ai-memory, chromadb, claude. - When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ## When NOT to use uncloud - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - 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 uncloud and claude-mem? uncloud: A lightweight tool for deploying and managing containerised applications across a network of Docker hosts. Bridging the gap between Docker and Kubernetes ✨. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose uncloud over claude-mem? Choose uncloud over claude-mem when uncloud is primarily Go; claude-mem is JavaScript; Tags unique to uncloud: containers, deployment, devops, docker; Also covers Computer Vision; uncloud ships Docker support for self-hosted deployment. ### When should I choose claude-mem over uncloud? Choose claude-mem over uncloud when claude-mem is primarily JavaScript; uncloud is Go; 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: ai-agents, ai-memory, chromadb, claude; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ### When should I avoid uncloud? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. 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 uncloud or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,816 vs 5,349). Stars measure visibility, not whether either tool fits your constraints. ### Are uncloud and claude-mem open source? Yes - both are open-source projects on GitHub (uncloud: Apache-2.0, claude-mem: Apache-2.0). ### Where can I find alternatives to uncloud or claude-mem? GraphCanon lists graph-backed alternatives at [uncloud alternatives](/tools/psviderski-uncloud/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([uncloud markdown twin](/tools/psviderski-uncloud/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/psviderski-uncloud-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, uncloud or claude-mem? uncloud: 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 uncloud and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [uncloud trust report](/tools/psviderski-uncloud/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=psviderski-uncloud`](/api/graphcanon/graph?tool=psviderski-uncloud) - 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/_