--- title: "ECC vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-reworkd-agentgpt" tools: ["affaan-m-ecc", "reworkd-agentgpt"] --- # ECC vs AgentGPT *GraphCanon updated Jul 11, 2026* ## Verdict Pick ECC if eCC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes; 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. [ECC](https://ecc.tools) reports 228k GitHub stars, 35k forks, and 93 open issues, last pushed Jul 9, 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 [ECC's repository](https://github.com/affaan-m/ECC) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [ECC](/tools/affaan-m-ecc.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | The agent harness performance optimization system for AI agents | Assembler for autonomous AI Agents | | Stars | 228,395 | 36,264 | | Forks | 35,037 | 9,303 | | Open issues | 93 | 219 | | Language | JavaScript | TypeScript | | Adopt for | ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes. | 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 | MIT | GPL-3.0 | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Archived (8%) | | Days since push | 2d | 438d | | Archived on GitHub | No | Yes | | Open issues (now) | 93 | 219 | | Owner type | User | Organization | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## Decision facts: ECC - **Hosting:** unknown - ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data. - **Pricing:** freemium - Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project. - **Adopt for:** ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes. ## 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 ECC if… - ECC is primarily JavaScript; AgentGPT is TypeScript. - License: ECC is MIT, AgentGPT is GPL-3.0. - ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data. - Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project.. - Tags unique to ECC: ai-agents, anthropic, claude, claude-code. - When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management. ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; ECC is JavaScript. - License: AgentGPT is GPL-3.0, ECC is MIT. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - 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 ECC - For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary. - In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC. ## 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 ECC and AgentGPT? ECC: The agent harness performance optimization system for AI agents. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over AgentGPT? Choose ECC over AgentGPT when ECC is primarily JavaScript; AgentGPT is TypeScript; License: ECC is MIT, AgentGPT is GPL-3.0; ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data; Pricing: Being open source with an MIT license, ECC itself is free to use, but additional features or support might incur costs outside of the core project.; Tags unique to ECC: ai-agents, anthropic, claude, claude-code; When you are specifically working with AI agents like Claude Code and Codex that require advanced performance tuning across multiple dimensions such as skills and memory management. ### When should I choose AgentGPT over ECC? Choose AgentGPT over ECC when AgentGPT is primarily TypeScript; ECC is JavaScript; License: AgentGPT is GPL-3.0, ECC is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; 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 ECC? For projects focusing solely on traditional software development workflows without AI components, ECC's specialized tools are not necessary. In scenarios where you're working with closed-source or proprietary AI systems that do not allow for the same levels of customization as open platforms like those optimized by ECC. ### 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 ECC or AgentGPT more popular on GitHub? ECC has more GitHub stars (228,395 vs 36,264). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and AgentGPT open source? Yes - both are open-source projects on GitHub (ECC: MIT, AgentGPT: GPL-3.0). ### Where can I find alternatives to ECC or AgentGPT? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/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/affaan-m-ecc-vs-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or AgentGPT? ECC: 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 ECC and AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=affaan-m-ecc`](/api/graphcanon/graph?tool=affaan-m-ecc) - 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/_