--- title: "ECC vs OpenAGI" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-agiresearch-openagi" tools: ["affaan-m-ecc", "agiresearch-openagi"] --- # ECC vs OpenAGI *GraphCanon updated Jul 12, 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 OpenAGI if openAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. [ECC](https://ecc.tools) reports 228k GitHub stars, 35k forks, and 93 open issues, last pushed Jul 9, 2026. [OpenAGI](https://docs.aios.foundation) has 2.3k stars, 209 forks, and 9 open issues, last pushed Nov 28, 2024. Figures are from public GitHub metadata via [ECC's repository](https://github.com/affaan-m/ECC) and [OpenAGI's repository](https://github.com/agiresearch/OpenAGI). | | [ECC](/tools/affaan-m-ecc.md) | [OpenAGI](/tools/agiresearch-openagi.md) | | --- | --- | --- | | Tagline | The agent harness performance optimization system for AI agents | Agent creation package for building agents in AIOS | | Stars | 228,395 | 2,275 | | Forks | 35,037 | 209 | | Open issues | 93 | 9 | | Language | JavaScript | Python | | Adopt for | ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes. | OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT license allows freedom to use for any purpose with attribution. | | Categories | AI Agents, Developer Tools | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [OpenAGI](/tools/agiresearch-openagi.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Dormant (18%) | | Days since push | 2d | 589d | | Open issues (now) | 93 | 9 | | Owner type | User | Organization | | Security scan | No MCP manifest | 1 low (1 low) | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/agiresearch-openagi/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: OpenAGI - **Hosting:** self hosted - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. - **Pricing:** freemium - Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository. - **Adopt for:** OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. - **License detail:** MIT license allows freedom to use for any purpose with attribution. ## Choose when ### Choose ECC if… - ECC is primarily JavaScript; OpenAGI is Python. - ECC targets ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data. deployment. - 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. - Also covers Developer Tools. - 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 OpenAGI if… - OpenAGI is primarily Python; ECC is JavaScript. - OpenAGI targets OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. deployment. - Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.. - Tags unique to OpenAGI: agents, agiresearch, aios. - - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul ## 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 OpenAGI - - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ## Common questions ### What is the difference between ECC and OpenAGI? ECC: The agent harness performance optimization system for AI agents. OpenAGI: Agent creation package for building agents in AIOS. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over OpenAGI? Choose ECC over OpenAGI when ECC is primarily JavaScript; OpenAGI is Python; ECC targets ECC requires JavaScript environment and is open-source, licensed under MIT. Specific setup details are not provided within repository data. deployment; 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; Also covers Developer Tools; 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 OpenAGI over ECC? Choose OpenAGI over ECC when OpenAGI is primarily Python; ECC is JavaScript; OpenAGI targets OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure. deployment; Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.; Tags unique to OpenAGI: agents, agiresearch, aios; - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul. ### 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 OpenAGI? - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement ### Is ECC or OpenAGI more popular on GitHub? ECC has more GitHub stars (228,395 vs 2,275). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and OpenAGI open source? Yes - both are open-source projects on GitHub (ECC: MIT, OpenAGI: MIT). ### Where can I find alternatives to ECC or OpenAGI? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [OpenAGI alternatives](/tools/agiresearch-openagi/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/alternatives.md), [OpenAGI markdown twin](/tools/agiresearch-openagi/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-agiresearch-openagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or OpenAGI? ECC: Very active. OpenAGI: Dormant. 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 OpenAGI? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [OpenAGI trust report](/tools/agiresearch-openagi/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/_