--- title: "mengram vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaizhanov-mengram-vs-mintplex-labs-anything-llm" tools: ["alibaizhanov-mengram", "mintplex-labs-anything-llm"] --- # mengram vs anything-llm *GraphCanon updated Jul 12, 2026* ## Verdict Pick mengram if mengram offers memory functionalities tailored for AI agents, including semantic, episodic, and procedural capabilities with integrations into platforms like LangChain, CrewAI, and OpenClaw; pick anything-llm if self-hosted AI agent experience with robust deployment scripts across multiple environments. [mengram](https://mengram.io) reports 183 GitHub stars, 26 forks, and 20 open issues, last pushed Jun 17, 2026. [anything-llm](https://anythingllm.com) has 63k stars, 6.9k forks, and 320 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [mengram's repository](https://github.com/alibaizhanov/mengram) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [mengram](/tools/alibaizhanov-mengram.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | Human-like memory for AI agents — semantic, episodic & procedural. | Self-hosted agent experience with deployment scripts for multiple environments | | Stars | 183 | 63,100 | | Forks | 26 | 6,907 | | Open issues | 20 | 320 | | Language | Python | JavaScript | | Adopt for | Mengram offers memory functionalities tailored for AI agents, including semantic, episodic, and procedural capabilities with integrations into platforms like LangChain, CrewAI, and OpenClaw. | Self-hosted AI agent experience with robust deployment scripts across multiple environments. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Evaluation & Observability | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mengram](/tools/alibaizhanov-mengram.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 24d | 0d | | Open issues (now) | 20 | 320 | | Owner type | User | Organization | | Security scan | 23 low (23 low) | No lockfile | | Full report | [trust report](/tools/alibaizhanov-mengram/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## Decision facts: mengram - **Adopt for:** Mengram offers memory functionalities tailored for AI agents, including semantic, episodic, and procedural capabilities with integrations into platforms like LangChain, CrewAI, and OpenClaw. ## Decision facts: anything-llm - **Adopt for:** Self-hosted AI agent experience with robust deployment scripts across multiple environments. ## Choose when ### Choose mengram if… - mengram is primarily Python; anything-llm is JavaScript. - License: mengram is Apache-2.0, anything-llm is MIT. - Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture. - Also covers Evaluation & Observability. - mengram ships Docker support for self-hosted deployment. - Use Mengram if your project requires a comprehensive suite of human-like memory capabilities (semantic, episodic, procedural) for AI agents. ### Choose anything-llm if… - anything-llm is primarily JavaScript; mengram is Python. - License: anything-llm is MIT, mengram is Apache-2.0. - Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm. - Also covers Inference & Serving. - When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ## When NOT to use mengram - Avoid Mengram if your project focuses solely on a specific type of memory (e.g., only semantic) and requires more specialized functionality not provided by Mengram. - Mengram might be less appealing if direct terminal access is preferred over the provided one-prompt setup method, which some users might deem as more complex or cumbersome. ## 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. ## Common questions ### What is the difference between mengram and anything-llm? mengram: Human-like memory for AI agents — semantic, episodic & procedural.. anything-llm: Self-hosted agent experience with deployment scripts for multiple environments. See the comparison table for live GitHub stats and shared categories. ### When should I choose mengram over anything-llm? Choose mengram over anything-llm when mengram is primarily Python; anything-llm is JavaScript; License: mengram is Apache-2.0, anything-llm is MIT; Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture; Also covers Evaluation & Observability; mengram ships Docker support for self-hosted deployment; Use Mengram if your project requires a comprehensive suite of human-like memory capabilities (semantic, episodic, procedural) for AI agents. ### When should I choose anything-llm over mengram? Choose anything-llm over mengram when anything-llm is primarily JavaScript; mengram is Python; License: anything-llm is MIT, mengram is Apache-2.0; Tags unique to anything-llm: agent-computer, agent-harness, agentic-ai, llm; Also covers Inference & Serving; When you need flexibility in deploying your AI agents on various cloud platforms like AWS, GCP, Digital Ocean, and more. ### When should I avoid mengram? Avoid Mengram if your project focuses solely on a specific type of memory (e.g., only semantic) and requires more specialized functionality not provided by Mengram. Mengram might be less appealing if direct terminal access is preferred over the provided one-prompt setup method, which some users might deem as more complex or cumbersome. ### 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. ### Is mengram or anything-llm more popular on GitHub? anything-llm has more GitHub stars (63,100 vs 183). Stars measure visibility, not whether either tool fits your constraints. ### Are mengram and anything-llm open source? Yes - both are open-source projects on GitHub (mengram: Apache-2.0, anything-llm: MIT). ### Where can I find alternatives to mengram or anything-llm? GraphCanon lists graph-backed alternatives at [mengram alternatives](/tools/alibaizhanov-mengram/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([mengram markdown twin](/tools/alibaizhanov-mengram/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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/alibaizhanov-mengram-vs-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mengram or anything-llm? mengram: Active. anything-llm: 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 mengram and anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mengram trust report](/tools/alibaizhanov-mengram/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=alibaizhanov-mengram`](/api/graphcanon/graph?tool=alibaizhanov-mengram) - 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/_