--- title: "memU vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/nevamind-ai-memu-vs-reworkd-agentgpt" tools: ["nevamind-ai-memu", "reworkd-agentgpt"] --- # memU vs AgentGPT *GraphCanon updated Sep 20, 2026* ## Verdict Pick memU if memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs; pick AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects. [memU](https://memu.pro) reports 14k GitHub stars, 1.1k forks, and 120 open issues, last pushed Sep 14, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [memU's repository](https://github.com/NevaMind-AI/memU) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [memU](/tools/nevamind-ai-memu.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | Personal memory for agents with fast retrieval and self-evolving skills | Assembler for autonomous AI Agents | | Stars | 14,420 | 36,297 | | Forks | 1,071 | 9,262 | | Open issues | 120 | 219 | | Language | Python | TypeScript | | Adopt for | memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. | AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects | | Persona | - | - | | Runtime | - | - | | License | Other | GPL-3.0 | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [memU](/tools/nevamind-ai-memu.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 5d | 497d | | Archived on GitHub | No | Yes | | Open issues (now) | 120 | 219 | | Stars delta | +358 (30d) | -7 (30d) | | Open issues delta | +26 (30d) | 0 (30d) | | Full report | [trust report](/tools/nevamind-ai-memu/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: memU - **Adopt for:** memU offers fast memory retrieval and self-evolving skills for AI agents at lower operational costs. ## Decision facts: AgentGPT - **Adopt for:** AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects ## Choose when ### Choose memU if… - memU is primarily Python; AgentGPT is TypeScript. - License: memU is Other, AgentGPT is GPL-3.0. - 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. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; memU is Python. - License: AgentGPT is GPL-3.0, memU is Other. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - Also covers Developer Tools. - AgentGPT ships Docker support for self-hosted deployment. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## 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. ## When NOT to use AgentGPT - Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box - Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ## Common questions ### What is the difference between memU and AgentGPT? memU: Personal memory for agents with fast retrieval and self-evolving skills. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose memU over AgentGPT? Choose memU over AgentGPT when memU is primarily Python; AgentGPT is TypeScript; License: memU is Other, AgentGPT is GPL-3.0; 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 choose AgentGPT over memU? Choose AgentGPT over memU when AgentGPT is primarily TypeScript; memU is Python; License: AgentGPT is GPL-3.0, memU is Other; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; AgentGPT ships Docker support for self-hosted deployment; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### 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. ### When should I avoid AgentGPT? Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ### Is memU or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,297 vs 14,420). Stars measure visibility, not whether either tool fits your constraints. ### Are memU and AgentGPT open source? Yes - both are open-source projects on GitHub (memU: Other, AgentGPT: GPL-3.0). ### Where can I find alternatives to memU or AgentGPT? GraphCanon lists graph-backed alternatives at [memU alternatives](/tools/nevamind-ai-memu/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([memU markdown twin](/tools/nevamind-ai-memu/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/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/nevamind-ai-memu-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, memU or AgentGPT? memU: Very active. AgentGPT: Archived. 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 memU and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [memU trust report](/tools/nevamind-ai-memu/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=nevamind-ai-memu`](/api/graphcanon/graph?tool=nevamind-ai-memu) - 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/_