--- title: "agent-protocol vs mengram" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-alibaizhanov-mengram" tools: ["agi-inc-agent-protocol", "alibaizhanov-mengram"] --- # agent-protocol vs mengram *GraphCanon updated Aug 6, 2026* ## Verdict Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; 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. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 185 forks, and 50 open issues, last pushed Apr 8, 2025. [mengram](https://mengram.io) has 184 stars, 27 forks, and 27 open issues, last pushed Jul 30, 2026. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [mengram's repository](https://github.com/alibaizhanov/mengram). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [mengram](/tools/alibaizhanov-mengram.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | 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。 | | Stars | 1,458 | 184 | | Forks | 185 | 27 | | Open issues | 50 | 27 | | Language | Python | Python | | Adopt for | agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. | Mengram offers memory functionalities tailored for AI agents, including semantic, episodic, and procedural capabilities with integrations into platforms like LangChain, CrewAI, and OpenClaw. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [mengram](/tools/alibaizhanov-mengram.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 484d | 3d | | Open issues (now) | 50 | 27 | | Owner type | Organization | User | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/alibaizhanov-mengram/trust.md) | ## Decision facts: agent-protocol - **Adopt for:** agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. ## 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. ## Choose when ### Choose agent-protocol if… - License: agent-protocol is MIT, mengram is Apache-2.0. - Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt. - When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### Choose mengram if… - License: mengram is Apache-2.0, agent-protocol 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 NOT to use agent-protocol - If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. - When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ## 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. ## Common questions ### What is the difference between agent-protocol and mengram? agent-protocol: Common interface for AI agents. 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。. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-protocol over mengram? Choose agent-protocol over mengram when License: agent-protocol is MIT, mengram is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### When should I choose mengram over agent-protocol? Choose mengram over agent-protocol when License: mengram is Apache-2.0, agent-protocol 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 avoid agent-protocol? If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ### 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. ### Is agent-protocol or mengram more popular on GitHub? agent-protocol has more GitHub stars (1,458 vs 184). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and mengram open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, mengram: Apache-2.0). ### Where can I find alternatives to agent-protocol or mengram? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [mengram alternatives](/tools/alibaizhanov-mengram/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/alternatives.md), [mengram markdown twin](/tools/alibaizhanov-mengram/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/agi-inc-agent-protocol-vs-alibaizhanov-mengram.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or mengram? agent-protocol: Dormant. mengram: 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 agent-protocol and mengram? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [mengram trust report](/tools/alibaizhanov-mengram/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-inc-agent-protocol`](/api/graphcanon/graph?tool=agi-inc-agent-protocol) - 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/_