--- title: "ECC vs SAM" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-syntheticautonomicmind-sam" tools: ["affaan-m-ecc", "syntheticautonomicmind-sam"] --- # ECC vs SAM *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 SAM if sAM is an AI assistant for macOS systems with Apple Silicon built in Swift and supports local LLM models, offering installation via Homebrew. [ECC](https://ecc.tools) reports 261k GitHub stars, 39k forks, and 227 open issues, last pushed Sep 17, 2026. [SAM](https://github.com/SyntheticAutonomicMind/SAM) has 130 stars, 6 forks, and 0 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [ECC's repository](https://github.com/affaan-m/ECC) and [SAM's repository](https://github.com/SyntheticAutonomicMind/SAM). | | [ECC](/tools/affaan-m-ecc.md) | [SAM](/tools/syntheticautonomicmind-sam.md) | | --- | --- | --- | | Tagline | Agent harness performance optimization system for AI agents and LLMs | An AI assistant for everyone | | Stars | 261,432 | 130 | | Forks | 39,132 | 6 | | Open issues | 227 | 0 | | Language | JavaScript | Swift | | 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. | SAM is an AI assistant for macOS systems with Apple Silicon built in Swift and supports local LLM models, offering installation via Homebrew. | | 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. | GPL-3.0 | | Categories | AI Agents, Developer Tools, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [SAM](/tools/syntheticautonomicmind-sam.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 227 | 0 | | Stars delta | +21k (30d) | 0 (30d) | | Open issues delta | +105 (30d) | 0 (30d) | | Owner type | User | Organization | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/syntheticautonomicmind-sam/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: SAM - **Requirements:** Min 4 GB RAM; For optimal use with local AI models, a system with 16GB+ RAM is recommended.; The system should be equipped with macOS 14.0 (Sonoma) or later. - **Adopt for:** SAM is an AI assistant for macOS systems with Apple Silicon built in Swift and supports local LLM models, offering installation via Homebrew. ## Choose when ### Choose ECC if… - ECC is primarily JavaScript; SAM is Swift. - License: ECC is MIT, SAM is GPL-3.0. - 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 Developer Tools. - 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 SAM if… - SAM is primarily Swift; ECC is JavaScript. - License: SAM is GPL-3.0, ECC is MIT. - Requirements: Min 4 GB RAM; For optimal use with local AI models, a system with 16GB+ RAM is recommended.; The system should be equipped with macOS 14.0 (Sonoma) or later.. - Tags unique to SAM: ai-assistants, apple-silicon, open-source. - You should use SAM when you are working on a macOS system equipped with Apple Silicon as it is optimized for such hardware. ## 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 SAM - Avoid using SAM if you are developing on an Intel-based Mac or any system running a different operating system as it is specifically designed for macOS and Apple Silicon. - Do not opt for SAM if your project requires low memory consumption, because supporting local AI models typically demands high RAM (16GB+) and significant disk space. ## Common questions ### What is the difference between ECC and SAM? ECC: Agent harness performance optimization system for AI agents and LLMs. SAM: An AI assistant for everyone. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over SAM? Choose ECC over SAM when ECC is primarily JavaScript; SAM is Swift; License: ECC is MIT, SAM is GPL-3.0; 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 Developer Tools; 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 SAM over ECC? Choose SAM over ECC when SAM is primarily Swift; ECC is JavaScript; License: SAM is GPL-3.0, ECC is MIT; Requirements: Min 4 GB RAM; For optimal use with local AI models, a system with 16GB+ RAM is recommended.; The system should be equipped with macOS 14.0 (Sonoma) or later.; Tags unique to SAM: ai-assistants, apple-silicon, open-source; You should use SAM when you are working on a macOS system equipped with Apple Silicon as it is optimized for such hardware. ### 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 SAM? Avoid using SAM if you are developing on an Intel-based Mac or any system running a different operating system as it is specifically designed for macOS and Apple Silicon. Do not opt for SAM if your project requires low memory consumption, because supporting local AI models typically demands high RAM (16GB+) and significant disk space. ### Is ECC or SAM more popular on GitHub? ECC has more GitHub stars (261,432 vs 130). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and SAM open source? Yes - both are open-source projects on GitHub (ECC: MIT, SAM: GPL-3.0). ### Where can I find alternatives to ECC or SAM? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [SAM alternatives](/tools/syntheticautonomicmind-sam/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/alternatives.md), [SAM markdown twin](/tools/syntheticautonomicmind-sam/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-syntheticautonomicmind-sam.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or SAM? ECC: Very active. SAM: Very 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 SAM? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [SAM trust report](/tools/syntheticautonomicmind-sam/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/_