--- title: "ECC vs magic" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-dtyq-magic" tools: ["affaan-m-ecc", "dtyq-magic"] --- # ECC vs magic *GraphCanon updated Sep 20, 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 magic if magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging. [ECC](https://ecc.tools) reports 261k GitHub stars, 39k forks, and 227 open issues, last pushed Sep 17, 2026. [magic](https://www.magicrew.ai/) has 5.0k stars, 561 forks, and 17 open issues, last pushed Aug 12, 2026. Figures are from public GitHub metadata via [ECC's repository](https://github.com/affaan-m/ECC) and [magic's repository](https://github.com/dtyq/magic). | | [ECC](/tools/affaan-m-ecc.md) | [magic](/tools/dtyq-magic.md) | | --- | --- | --- | | Tagline | Agent harness performance optimization system for AI agents and LLMs | All-in-one AI productivity platform | | Stars | 261,432 | 5,027 | | Forks | 39,132 | 561 | | Open issues | 227 | 17 | | Language | JavaScript | TypeScript | | 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. | Magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging. | | Persona | - | - | | Runtime | - | - | | License | ECC is available under the MIT license, ensuring it remains free for open-source projects. However, for private repositories, ECC Pro offers a paid GitHub App service. | Magic Open Source License based on Apache 2.0 with additional restrictions, ensuring modifications are open but retaining copyrights and disclaimers as per the license. | | Categories | AI Agents, Developer Tools, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [magic](/tools/dtyq-magic.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 33d | | Open issues (now) | 227 | 17 | | Stars delta | +21k (30d) | +48 (30d) | | Open issues delta | +105 (30d) | +3 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/dtyq-magic/trust.md) | ## Decision facts: ECC - **Pricing:** freemium - ECC is free for open-source projects, but private repositories require a paid subscription starting at $19 per seat per month. - **Requirements:** ECC requires a JavaScript environment 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. - **License detail:** ECC is available under the MIT license, ensuring it remains free for open-source projects. However, for private repositories, ECC Pro offers a paid GitHub App service. ## Decision facts: magic - **Requirements:** Requires Docker - **Adopt for:** Magic is an open-source suite combining AI agents with workflow management and collaboration tools like instant messaging. - **License detail:** Magic Open Source License based on Apache 2.0 with additional restrictions, ensuring modifications are open but retaining copyrights and disclaimers as per the license. ## Choose when ### Choose ECC if… - ECC is primarily JavaScript; magic is TypeScript. - License: ECC is MIT, magic is Other. - Pricing: ECC is free for open-source projects, but private repositories require a paid subscription starting at $19 per seat per month.. - Requirements: ECC requires a JavaScript environment and can be installed via guided setup or native plugin commands.. - Tags unique to ECC: ai-agents, anthropic, claude, claude-code. - 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 magic if… - magic is primarily TypeScript; ECC is JavaScript. - License: magic is Other, ECC is MIT. - Requirements: Requires Docker. - Tags unique to magic: agent, agi, ai, gpt. - When a diverse set of functionalities under one platform is required for managing workflows, automating tasks, and enabling seamless communication among team members. ## When NOT to use ECC - Avoid ECC if your project does not require the specific features it offers, such as skills, instincts, memory, security, and research-first development, and if you are looking for a more generalized L ## When NOT to use magic - When focused exclusively on a specialized aspect of AI development like model training, as Magic offers an all-in-one solution which might add unnecessary complexity. - For users requiring immediate Windows OS compatibility without waiting for upcoming support releases, given that Windows is not currently supported in self-hosted setups. ## Common questions ### What is the difference between ECC and magic? ECC: Agent harness performance optimization system for AI agents and LLMs. magic: All-in-one AI productivity platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over magic? Choose ECC over magic when ECC is primarily JavaScript; magic is TypeScript; License: ECC is MIT, magic is Other; Pricing: ECC is free for open-source projects, but private repositories require a paid subscription starting at $19 per seat per month.; Requirements: ECC requires a JavaScript environment and can be installed via guided setup or native plugin commands.; Tags unique to ECC: ai-agents, anthropic, claude, claude-code; 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 magic over ECC? Choose magic over ECC when magic is primarily TypeScript; ECC is JavaScript; License: magic is Other, ECC is MIT; Requirements: Requires Docker; Tags unique to magic: agent, agi, ai, gpt; When a diverse set of functionalities under one platform is required for managing workflows, automating tasks, and enabling seamless communication among team members. ### When should I avoid ECC? Avoid ECC if your project does not require the specific features it offers, such as skills, instincts, memory, security, and research-first development, and if you are looking for a more generalized L ### When should I avoid magic? When focused exclusively on a specialized aspect of AI development like model training, as Magic offers an all-in-one solution which might add unnecessary complexity. For users requiring immediate Windows OS compatibility without waiting for upcoming support releases, given that Windows is not currently supported in self-hosted setups. ### Is ECC or magic more popular on GitHub? ECC has more GitHub stars (261,432 vs 5,027). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and magic open source? Yes - both are open-source projects on GitHub (ECC: MIT, magic: Other). ### Where can I find alternatives to ECC or magic? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [magic alternatives](/tools/dtyq-magic/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/alternatives.md), [magic markdown twin](/tools/dtyq-magic/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-dtyq-magic.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or magic? ECC: Very active. magic: Steady. 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 magic? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [magic trust report](/tools/dtyq-magic/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/_