--- title: "agent-protocol vs memU" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-nevamind-ai-memu" tools: ["agi-inc-agent-protocol", "nevamind-ai-memu"] --- # agent-protocol vs memU *GraphCanon updated Oct 8, 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 memU if memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 189 forks, and 50 open issues, last pushed Apr 8, 2025. [memU](https://memu.pro) has 14k stars, 1.1k forks, and 120 open issues, last pushed Sep 14, 2026. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [memU's repository](https://github.com/NevaMind-AI/memU). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [memU](/tools/nevamind-ai-memu.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | Personal memory for agents with fast retrieval and self-evolving skills | | Stars | 1,458 | 14,420 | | Forks | 189 | 1,071 | | Open issues | 50 | 120 | | 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. | memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [memU](/tools/nevamind-ai-memu.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 547d | 5d | | Open issues (now) | 50 | 120 | | Stars delta | +4 (30d) | +358 (30d) | | Open issues delta | +1 (30d) | +26 (30d) | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/nevamind-ai-memu/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: memU - **Adopt for:** memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. ## Choose when ### Choose agent-protocol if… - License: agent-protocol is MIT, memU is Other. - 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 memU if… - License: memU is Other, agent-protocol is MIT. - Tags unique to memU: agent-memory, claude-skills, harness, loop-engineering. - Use memU when your project requires fast access to stored agent actions and memories which can adapt over time without needing human intervention. ## 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 memU - Avoid using memU if your application mandates proprietary memory systems that are tightly integrated with specific agent architectures not supported by memU. - memU is unsuitable for projects where the customizability and control over skill evolution are limited or require extensive manual adjustments, as this tool emphasizes self-evolving features. ## Common questions ### What is the difference between agent-protocol and memU? agent-protocol: Common interface for AI agents. memU: Personal memory for agents with fast retrieval and self-evolving skills. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-protocol over memU? Choose agent-protocol over memU when License: agent-protocol is MIT, memU is Other; 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 memU over agent-protocol? Choose memU over agent-protocol when License: memU is Other, agent-protocol is MIT; Tags unique to memU: agent-memory, claude-skills, harness, loop-engineering; Use memU when your project requires fast access to stored agent actions and memories which can adapt over time without needing human intervention. ### 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 memU? Avoid using memU if your application mandates proprietary memory systems that are tightly integrated with specific agent architectures not supported by memU. memU is unsuitable for projects where the customizability and control over skill evolution are limited or require extensive manual adjustments, as this tool emphasizes self-evolving features. ### Is agent-protocol or memU more popular on GitHub? memU has more GitHub stars (14,420 vs 1,458). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and memU open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, memU: Other). ### Where can I find alternatives to agent-protocol or memU? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [memU alternatives](/tools/nevamind-ai-memu/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/alternatives.md), [memU markdown twin](/tools/nevamind-ai-memu/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-nevamind-ai-memu.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or memU? agent-protocol: Dormant. memU: 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 memU? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [memU trust report](/tools/nevamind-ai-memu/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/_