--- title: "mengram vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/alibaizhanov-mengram-vs-framerslab-agentos" tools: ["alibaizhanov-mengram", "framerslab-agentos"] --- # mengram vs agentos *GraphCanon updated Aug 23, 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 agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [mengram](https://mengram.io) reports 184 GitHub stars, 27 forks, and 27 open issues, last pushed Jul 30, 2026. [agentos](https://docs.agentos.sh) has 617 stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [mengram's repository](https://github.com/alibaizhanov/mengram) and [agentos's repository](https://github.com/framerslab/agentos). | | [mengram](/tools/alibaizhanov-mengram.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Semantic, episodic, and procedural memory for AI agents, like human记忆被切断了，请稍后尝试重新生成。 | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 184 | 617 | | Forks | 27 | 92 | | Open issues | 27 | 10 | | Language | Python | TypeScript | | 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. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Apache-2.0 | | Categories | AI Agents, Evaluation & Observability | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [mengram](/tools/alibaizhanov-mengram.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 3d | 15d | | Open issues (now) | 27 | 10 | | Stars delta | Unknown | +16 (30d) | | Open issues delta | Unknown | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/alibaizhanov-mengram/trust.md) | [trust report](/tools/framerslab-agentos/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: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose mengram if… - mengram is primarily Python; agentos is TypeScript. - 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 agentos if… - agentos is primarily TypeScript; mengram is Python. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ## 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between mengram and agentos? mengram: Semantic, episodic, and procedural memory for AI agents, like human记忆被切断了，请稍后尝试重新生成。. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose mengram over agentos? Choose mengram over agentos when mengram is primarily Python; agentos is TypeScript; 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 agentos over mengram? Choose agentos over mengram when agentos is primarily TypeScript; mengram is Python; Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents. ### 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is mengram or agentos more popular on GitHub? agentos has more GitHub stars (617 vs 184). Stars measure visibility, not whether either tool fits your constraints. ### Are mengram and agentos open source? Yes - both are open-source projects on GitHub (mengram: Apache-2.0, agentos: Apache-2.0). ### Where can I find alternatives to mengram or agentos? GraphCanon lists graph-backed alternatives at [mengram alternatives](/tools/alibaizhanov-mengram/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([mengram markdown twin](/tools/alibaizhanov-mengram/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/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-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, mengram or agentos? mengram: Very active. agentos: 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 agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [mengram trust report](/tools/alibaizhanov-mengram/trust); [agentos trust report](/tools/framerslab-agentos/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/_