--- title: "mengram vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaizhanov-mengram-vs-sindresorhus-awesome" tools: ["alibaizhanov-mengram", "sindresorhus-awesome"] --- # mengram vs awesome *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 awesome if a curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. [mengram](https://mengram.io) reports 183 GitHub stars, 26 forks, and 20 open issues, last pushed Jun 17, 2026. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [mengram's repository](https://github.com/alibaizhanov/mengram) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [mengram](/tools/alibaizhanov-mengram.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | Human-like memory for AI agents — semantic, episodic & procedural. | 😎 Awesome lists about all kinds of interesting topics | | Stars | 183 | 484,026 | | Forks | 26 | 35,799 | | Open issues | 20 | 92 | | Language | Python | - | | 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. | A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | AI Agents, Evaluation & Observability | Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mengram](/tools/alibaizhanov-mengram.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Days since push | 24d | 11d | | Open issues (now) | 20 | 92 | | Security scan | 23 low (23 low) | No lockfile | | Full report | [trust report](/tools/alibaizhanov-mengram/trust.md) | [trust report](/tools/sindresorhus-awesome/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: awesome - **Adopt for:** A curated collection of resources on a variety of technological topics, emphasizing hardware and robotics. ## Choose when ### Choose mengram if… - License: mengram is Apache-2.0, awesome is CC0-1.0. - Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture. - Also covers AI Agents, 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 awesome if… - License: awesome is CC0-1.0, mengram is Apache-2.0. - Tags unique to awesome: awesome, awesome-list, lists, resources. - Also covers Developer Tools. - When you need well-organized access to diverse technical subjects from IoT to robotics ## 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 awesome - If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources - In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ## Common questions ### What is the difference between mengram and awesome? mengram: Human-like memory for AI agents — semantic, episodic & procedural.. awesome: 😎 Awesome lists about all kinds of interesting topics. See the comparison table for live GitHub stats and shared categories. ### When should I choose mengram over awesome? Choose mengram over awesome when License: mengram is Apache-2.0, awesome is CC0-1.0; Tags unique to mengram: agent-memory, ai-agents, ai-memory, cognitive-architecture; Also covers AI Agents, 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 awesome over mengram? Choose awesome over mengram when License: awesome is CC0-1.0, mengram is Apache-2.0; Tags unique to awesome: awesome, awesome-list, lists, resources; Also covers Developer Tools; When you need well-organized access to diverse technical subjects from IoT to robotics. ### 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 awesome? If seeking specific coding frameworks or libraries for software development rather than hardware-focused resources In scenarios requiring real-time interactive support or forums, as the content is static lists without active discussion ### Is mengram or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 183). Stars measure visibility, not whether either tool fits your constraints. ### Are mengram and awesome open source? Yes - both are open-source projects on GitHub (mengram: Apache-2.0, awesome: CC0-1.0). ### Where can I find alternatives to mengram or awesome? GraphCanon lists graph-backed alternatives at [mengram alternatives](/tools/alibaizhanov-mengram/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([mengram markdown twin](/tools/alibaizhanov-mengram/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mengram or awesome? mengram: Active. awesome: 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 awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mengram trust report](/tools/alibaizhanov-mengram/trust); [awesome trust report](/tools/sindresorhus-awesome/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/_