--- title: "anything-llm vs claude-mem" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/mintplex-labs-anything-llm-vs-thedotmack-claude-mem" tools: ["mintplex-labs-anything-llm", "thedotmack-claude-mem"] --- # anything-llm vs claude-mem *GraphCanon updated Aug 18, 2026* ## Verdict Pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments; pick claude-mem if claude-mem provides persistent context across sessions, leveraging AI to capture and compress agent activity. [anything-llm](https://anythingllm.com) reports 65k GitHub stars, 7.1k forks, and 319 open issues, last pushed Aug 13, 2026. [claude-mem](https://claude-mem.ai) has 91k stars, 8.0k forks, and 200 open issues, last pushed Aug 17, 2026. Figures are from public GitHub metadata via [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm) and [claude-mem's repository](https://github.com/thedotmack/claude-mem). | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Tagline | Self-hosted agent experience with deployment scripts for multiple environments | Persistent Context Across Sessions for Every Agent | | Stars | 64,716 | 91,018 | | Forks | 7,132 | 7,953 | | Open issues | 319 | 200 | | Language | JavaScript | JavaScript | | Adopt for | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | 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, Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [anything-llm](/tools/mintplex-labs-anything-llm.md) | [claude-mem](/tools/thedotmack-claude-mem.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 319 | 200 | | Stars delta | +1.4k (30d) | +3.3k (30d) | | Open issues delta | +2 (30d) | -116 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | [trust report](/tools/thedotmack-claude-mem/trust.md) | ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## 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 anything-llm if… - License: anything-llm is MIT, claude-mem is Apache-2.0. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### Choose claude-mem if… - License: claude-mem is Apache-2.0, anything-llm 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: ai-agents, ai-memory, chromadb, claude. - claude-mem ships Docker support for self-hosted deployment. - claude-mem ships an MCP server manifest. - When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ## When NOT to use anything-llm - Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. - Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ## 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 anything-llm and claude-mem? anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. claude-mem: Persistent Context Across Sessions for Every Agent. See the comparison table for live GitHub stats and shared categories. ### When should I choose anything-llm over claude-mem? Choose anything-llm over claude-mem when License: anything-llm is MIT, claude-mem is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I choose claude-mem over anything-llm? Choose claude-mem over anything-llm when License: claude-mem is Apache-2.0, anything-llm 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: ai-agents, ai-memory, chromadb, claude; claude-mem ships Docker support for self-hosted deployment; claude-mem ships an MCP server manifest; When you require seamless and persistent context continuity between different session interactions with Claude Code or other supported agents. ### When should I avoid anything-llm? Avoid if you require an agent without additional setup or prefer SaaS solutions over self-managed deployments. Not suitable for users who are looking for no-code alternatives as setting up AnythingLLM might necessitate some coding knowledge despite offering multiple scripts and methods. ### 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 anything-llm or claude-mem more popular on GitHub? claude-mem has more GitHub stars (91,018 vs 64,716). Stars measure visibility, not whether either tool fits your constraints. ### Are anything-llm and claude-mem open source? Yes - both are open-source projects on GitHub (anything-llm: MIT, claude-mem: Apache-2.0). ### Where can I find alternatives to anything-llm or claude-mem? GraphCanon lists graph-backed alternatives at [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) and [claude-mem alternatives](/tools/thedotmack-claude-mem/alternatives) ([anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/mintplex-labs-anything-llm-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, anything-llm or claude-mem? anything-llm: 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 anything-llm and claude-mem? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust); [claude-mem trust report](/tools/thedotmack-claude-mem/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=mintplex-labs-anything-llm`](/api/graphcanon/graph?tool=mintplex-labs-anything-llm) - 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/_