--- title: "Kiln vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kiln-ai-kiln-vs-thedotmack-claude-mem" tools: ["kiln-ai-kiln", "thedotmack-claude-mem"] --- # Kiln vs claude-mem *GraphCanon updated Jul 12, 2026* ## Verdict Pick Kiln if kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes; pick claude-mem if claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. [Kiln](https://kiln.tech) reports 5.0k GitHub stars, 375 forks, and 63 open issues, last pushed Jul 11, 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 [Kiln's repository](https://github.com/Kiln-AI/Kiln) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [Kiln](/tools/kiln-ai-kiln.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | Build, Evaluate, and Optimize AI Systems | Persistent Context Across Sessions for Every Agent | | Stars | 4,960 | 86,816 | | Forks | 375 | 7,500 | | Open issues | 63 | 252 | | Language | Python | JavaScript | | Adopt for | Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes. | claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. | | Persona | - | - | | Runtime | - | - | | License | Other | 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, Data & Retrieval, Evaluation & Observability, Model Training | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Kiln](/tools/kiln-ai-kiln.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 63 | 252 | | Owner type | Organization | User | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/kiln-ai-kiln/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) | ## Decision facts: Kiln - **Adopt for:** Kiln is a versatile AI systems development toolkit that excels in comprehensive evaluation frameworks for agents, RAG components, and fine-tuning processes. ## 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 Kiln if… - Kiln is primarily Python; claude-mem is JavaScript. - License: Kiln is Other, claude-mem is Apache-2.0. - Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation. - Also covers Data & Retrieval, Evaluation & Observability, Model Training. - When you need extensive tools for evaluating custom AI agents ### Choose claude-mem if… - claude-mem is primarily JavaScript; Kiln is Python. - License: claude-mem is Apache-2.0, Kiln is Other. - 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. - Also covers Inference & Serving. - When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ## When NOT to use Kiln - If your project strictly requires a lightweight tool without comprehensive dataset management options - Avoid if you do not require advanced synthetic data generation capabilities ## 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 Kiln and claude-mem? Kiln: Build, Evaluate, and Optimize AI Systems. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose Kiln over claude-mem? Choose Kiln over claude-mem when Kiln is primarily Python; claude-mem is JavaScript; License: Kiln is Other, claude-mem is Apache-2.0; Tags unique to Kiln: ai, chain-of-thought, collaboration, dataset-generation; Also covers Data & Retrieval, Evaluation & Observability, Model Training; When you need extensive tools for evaluating custom AI agents. ### When should I choose claude-mem over Kiln? Choose claude-mem over Kiln when claude-mem is primarily JavaScript; Kiln is Python; License: claude-mem is Apache-2.0, Kiln is Other; 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; Also covers Inference & Serving; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ### When should I avoid Kiln? If your project strictly requires a lightweight tool without comprehensive dataset management options Avoid if you do not require advanced synthetic data generation capabilities ### 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 Kiln or claude-mem more popular on GitHub? claude-mem has more GitHub stars (86,816 vs 4,960). Stars measure visibility, not whether either tool fits your constraints. ### Are Kiln and claude-mem open source? Yes - both are open-source projects on GitHub (Kiln: Other, claude-mem: Apache-2.0). ### Where can I find alternatives to Kiln or claude-mem? GraphCanon lists graph-backed alternatives at [Kiln alternatives](/tools/kiln-ai-kiln/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([Kiln markdown twin](/tools/kiln-ai-kiln/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/kiln-ai-kiln-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, Kiln or claude-mem? Kiln: 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 Kiln and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Kiln trust report](/tools/kiln-ai-kiln/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kiln-ai-kiln`](/api/graphcanon/graph?tool=kiln-ai-kiln) - 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/_