--- title: "ECC vs aideml" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-wecoai-aideml" tools: ["affaan-m-ecc", "wecoai-aideml"] --- # ECC vs aideml *GraphCanon updated Sep 30, 2026* ## Verdict Pick ECC if eCC is an agent harness performance optimization system for AI agents and large language models, emphasizing skills, instincts, memory, security, and research-first development; pick aideml if aIDE is an LLM agent for machine learning engineering, designed for automated machine learning, autonomous agents, and self-improving AI, referenced in OpenAI MLE-bench. [ECC](https://ecc.tools) reports 261k GitHub stars, 39k forks, and 227 open issues, last pushed Sep 17, 2026. [aideml](https://weco.ai) has 1.5k stars, 227 forks, and 3 open issues, last pushed Sep 3, 2026. Figures are from public GitHub metadata via [ECC's repository](https://github.com/affaan-m/ECC) and [aideml's repository](https://github.com/WecoAI/aideml). | | [ECC](/tools/affaan-m-ecc.md) | [aideml](/tools/wecoai-aideml.md) | | --- | --- | --- | | Tagline | Agent harness performance optimization system for AI agents and LLMs | AIDE: an LLM agent for machine learning engineering | | Stars | 261,432 | 1,530 | | Forks | 39,132 | 227 | | Open issues | 227 | 3 | | Language | JavaScript | Python | | Adopt for | ECC is an agent harness performance optimization system for AI agents and large language models, emphasizing skills, instincts, memory, security, and research-first development. | AIDE is an LLM agent for machine learning engineering, designed for automated machine learning, autonomous agents, and self-improving AI, referenced in OpenAI MLE-bench. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools, LLM Frameworks | AI Agents, Developer Tools, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [aideml](/tools/wecoai-aideml.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 14d | | Open issues (now) | 227 | 3 | | Stars delta | +21k (30d) | +70 (30d) | | Open issues delta | +105 (30d) | +1 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/wecoai-aideml/trust.md) | ## Decision facts: ECC - **Pricing:** freemium - ECC offers a free GitHub App for open-source projects, while ECC Pro provides support for private repositories at a cost of $19 per seat per month. - **Requirements:** ECC is available as a JavaScript tool and can be installed via guided setup or native plugin commands. - **Adopt for:** ECC is an agent harness performance optimization system for AI agents and large language models, emphasizing skills, instincts, memory, security, and research-first development. ## Decision facts: aideml - **Requirements:** Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality. - **Adopt for:** AIDE is an LLM agent for machine learning engineering, designed for automated machine learning, autonomous agents, and self-improving AI, referenced in OpenAI MLE-bench. ## Choose when ### Choose ECC if… - ECC is primarily JavaScript; aideml is Python. - Pricing: ECC offers a free GitHub App for open-source projects, while ECC Pro provides support for private repositories at a cost of $19 per seat per month.. - Requirements: ECC is available as a JavaScript tool and can be installed via guided setup or native plugin commands.. - Tags unique to ECC: anthropic, claude, claude-code, developer-tools. - Also covers LLM Frameworks. - Use ECC when you need to optimize the performance of AI agents and large language models, particularly if you are working with platforms like Claude Code, Codex, Opencode, or Cursor. ### Choose aideml if… - aideml is primarily Python; ECC is JavaScript. - Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality.. - Tags unique to aideml: ai, automated-machine-learning, autonomous-agents, autoresearch. - Also covers Model Training. - aideml ships Docker support for self-hosted deployment. - When you need an LLM agent that focuses on automated machine learning and autonomous agents, as AIDE is specifically designed for these purposes. ## When NOT to use ECC - Avoid ECC if your project does not align with the specific platforms it supports, such as Claude Code, Codex, Opencode, or Cursor. - Do not use ECC if you are looking for a free solution for private repositories, as ECC Pro requires a subscription for private repo support. ## When NOT to use aideml - If your project does not require integration with OpenAI services, as AIDE's functionality is partly tied to OpenAI APIs. - When you are looking for a tool that does not focus on autonomous agents or self-improving AI, as AIDE is specialized in these areas and may not be as versatile in other aspects of machine learning. ## Common questions ### What is the difference between ECC and aideml? ECC: Agent harness performance optimization system for AI agents and LLMs. aideml: AIDE: an LLM agent for machine learning engineering. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over aideml? Choose ECC over aideml when ECC is primarily JavaScript; aideml is Python; Pricing: ECC offers a free GitHub App for open-source projects, while ECC Pro provides support for private repositories at a cost of $19 per seat per month.; Requirements: ECC is available as a JavaScript tool and can be installed via guided setup or native plugin commands.; Tags unique to ECC: anthropic, claude, claude-code, developer-tools; Also covers LLM Frameworks; Use ECC when you need to optimize the performance of AI agents and large language models, particularly if you are working with platforms like Claude Code, Codex, Opencode, or Cursor. ### When should I choose aideml over ECC? Choose aideml over ECC when aideml is primarily Python; ECC is JavaScript; Requirements: Min 4 GB RAM; Requires Docker; Requires Docker for deployment.; Needs an OpenAI API key for full functionality.; Tags unique to aideml: ai, automated-machine-learning, autonomous-agents, autoresearch; Also covers Model Training; aideml ships Docker support for self-hosted deployment; When you need an LLM agent that focuses on automated machine learning and autonomous agents, as AIDE is specifically designed for these purposes. ### When should I avoid ECC? Avoid ECC if your project does not align with the specific platforms it supports, such as Claude Code, Codex, Opencode, or Cursor. Do not use ECC if you are looking for a free solution for private repositories, as ECC Pro requires a subscription for private repo support. ### When should I avoid aideml? If your project does not require integration with OpenAI services, as AIDE's functionality is partly tied to OpenAI APIs. When you are looking for a tool that does not focus on autonomous agents or self-improving AI, as AIDE is specialized in these areas and may not be as versatile in other aspects of machine learning. ### Is ECC or aideml more popular on GitHub? ECC has more GitHub stars (261,432 vs 1,530). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and aideml open source? Yes - both are open-source projects on GitHub (ECC: MIT, aideml: MIT). ### Where can I find alternatives to ECC or aideml? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [aideml alternatives](/tools/wecoai-aideml/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/alternatives.md), [aideml markdown twin](/tools/wecoai-aideml/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-wecoai-aideml.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or aideml? ECC: Very active. aideml: 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 ECC and aideml? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [aideml trust report](/tools/wecoai-aideml/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/_