--- title: "ECC vs OpenAgentsControl" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-darrenhinde-openagentscontrol" tools: ["affaan-m-ecc", "darrenhinde-openagentscontrol"] --- # ECC vs OpenAgentsControl *GraphCanon updated Jul 11, 2026* ## Verdict Pick ECC when eCC is primarily JavaScript; OpenAgentsControl is TypeScript; pick OpenAgentsControl when openAgentsControl is primarily TypeScript; ECC is JavaScript. [ECC](https://ecc.tools) reports 228k GitHub stars, 35k forks, and 93 open issues, last pushed Jul 9, 2026. [OpenAgentsControl](https://github.com/darrenhinde/OpenAgentsControl) has 4.5k stars, 362 forks, and 55 open issues, last pushed Mar 25, 2026. Figures are from public GitHub metadata via [ECC's repository](https://github.com/affaan-m/ECC) and [OpenAgentsControl's repository](https://github.com/darrenhinde/OpenAgentsControl). | | [ECC](/tools/affaan-m-ecc.md) | [OpenAgentsControl](/tools/darrenhinde-openagentscontrol.md) | | --- | --- | --- | | Tagline | The agent harness performance optimization system for AI agents | AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built f | | Stars | 228,395 | 4,535 | | Forks | 35,037 | 362 | | Open issues | 93 | 55 | | Language | JavaScript | TypeScript | | Adopt for | ECC is a performance optimization system for AI agents built to enhance skills, instincts, memory, security, and development processes. | - | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [OpenAgentsControl](/tools/darrenhinde-openagentscontrol.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 108d | | Open issues (now) | 93 | 55 | | Security scan | No MCP manifest | No lockfile | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/darrenhinde-openagentscontrol/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. ## Choose when ### Choose ECC if… - ECC is primarily JavaScript; OpenAgentsControl is TypeScript. - 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: anthropic, claude, claude-code, llm. - 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 OpenAgentsControl if… - OpenAgentsControl is primarily TypeScript; ECC is JavaScript. - Tags unique to OpenAgentsControl: ai-agents-framework, ai-t, automation, code-generation. - Also covers LLM Frameworks. ## 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 OpenAgentsControl - Last GitHub push was 109 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on OpenAgentsControl. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Developer Tools: A gateway is overkill when you're pinned to a single provider and model. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between ECC and OpenAgentsControl? ECC: The agent harness performance optimization system for AI agents. OpenAgentsControl: AI agent framework for plan-first development workflows with approval-based execution. Multi-language support (TypeScript, Python, Go, Rust) with automatic testing, code review, and validation built f. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over OpenAgentsControl? Choose ECC over OpenAgentsControl when ECC is primarily JavaScript; OpenAgentsControl is TypeScript; 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: anthropic, claude, claude-code, llm; 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 OpenAgentsControl over ECC? Choose OpenAgentsControl over ECC when OpenAgentsControl is primarily TypeScript; ECC is JavaScript; Tags unique to OpenAgentsControl: ai-agents-framework, ai-t, automation, code-generation; Also covers LLM Frameworks. ### 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 OpenAgentsControl? Last GitHub push was 109 days ago (slowing maintenance, Mar 25, 2026). Validate activity before betting a new project on OpenAgentsControl. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is ECC or OpenAgentsControl more popular on GitHub? ECC has more GitHub stars (228,395 vs 4,535). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and OpenAgentsControl open source? Yes - both are open-source projects on GitHub (ECC: MIT, OpenAgentsControl: MIT). ### Where can I find alternatives to ECC or OpenAgentsControl? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [OpenAgentsControl alternatives](/tools/darrenhinde-openagentscontrol/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/alternatives.md), [OpenAgentsControl markdown twin](/tools/darrenhinde-openagentscontrol/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-darrenhinde-openagentscontrol.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or OpenAgentsControl? ECC: Very active. OpenAgentsControl: Slowing. 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 OpenAgentsControl? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [OpenAgentsControl trust report](/tools/darrenhinde-openagentscontrol/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/_