--- title: "agentos vs memU" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/framerslab-agentos-vs-nevamind-ai-memu" tools: ["framerslab-agentos", "nevamind-ai-memu"] --- # agentos vs memU *GraphCanon updated Aug 26, 2026* ## Verdict Pick agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript; pick memU if memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. [agentos](https://docs.agentos.sh) reports 617 GitHub stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. [memU](https://memu.pro) has 14k stars, 1.1k forks, and 116 open issues, last pushed Aug 21, 2026. Figures are from public GitHub metadata via [agentos's repository](https://github.com/framerslab/agentos) and [memU's repository](https://github.com/NevaMind-AI/memU). | | [agentos](/tools/framerslab-agentos.md) | [memU](/tools/nevamind-ai-memu.md) | | --- | --- | --- | | Tagline | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | Personal memory for agents with fast retrieval and self-evolving skills | | Stars | 617 | 14,347 | | Forks | 92 | 1,062 | | Open issues | 10 | 116 | | Language | TypeScript | Python | | Adopt for | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentos](/tools/framerslab-agentos.md) | [memU](/tools/nevamind-ai-memu.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 15d | 4d | | Open issues (now) | 10 | 116 | | Stars delta | +16 (30d) | +285 (30d) | | Open issues delta | +1 (30d) | +22 (30d) | | Full report | [trust report](/tools/framerslab-agentos/trust.md) | [trust report](/tools/nevamind-ai-memu/trust.md) | ## Decision facts: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Decision facts: memU - **Adopt for:** memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. ## Choose when ### Choose agentos if… - agentos is primarily TypeScript; memU is Python. - License: agentos is Apache-2.0, memU is Other. - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents ### Choose memU if… - memU is primarily Python; agentos is TypeScript. - License: memU is Other, agentos is Apache-2.0. - 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## 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 agentos and memU? agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. 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 agentos over memU? Choose agentos over memU when agentos is primarily TypeScript; memU is Python; License: agentos is Apache-2.0, memU is Other; 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 choose memU over agentos? Choose memU over agentos when memU is primarily Python; agentos is TypeScript; License: memU is Other, agentos is Apache-2.0; 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### 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 agentos or memU more popular on GitHub? memU has more GitHub stars (14,347 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are agentos and memU open source? Yes - both are open-source projects on GitHub (agentos: Apache-2.0, memU: Other). ### Where can I find alternatives to agentos or memU? GraphCanon lists graph-backed alternatives at [agentos alternatives](/tools/framerslab-agentos/alternatives) and [memU alternatives](/tools/nevamind-ai-memu/alternatives) ([agentos markdown twin](/tools/framerslab-agentos/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/framerslab-agentos-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, agentos or memU? agentos: Active. 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 agentos and memU? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentos trust report](/tools/framerslab-agentos/trust); [memU trust report](/tools/nevamind-ai-memu/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=framerslab-agentos`](/api/graphcanon/graph?tool=framerslab-agentos) - 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/_