--- title: "ECC vs roundtable" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/affaan-m-ecc-vs-askbudi-roundtable" tools: ["affaan-m-ecc", "askbudi-roundtable"] --- # ECC vs roundtable *GraphCanon updated Jul 11, 2026* ## Verdict Pick ECC when eCC is primarily JavaScript; roundtable is Python; pick roundtable when roundtable is primarily Python; ECC is JavaScript. [ECC](https://ecc.tools) reports 228k GitHub stars, 35k forks, and 93 open issues, last pushed Jul 9, 2026. [roundtable](https://askbudi.ai/roundtable) has 119 stars, 17 forks, and 7 open issues, last pushed Oct 6, 2025. Figures are from public GitHub metadata via [ECC's repository](https://github.com/affaan-m/ECC) and [roundtable's repository](https://github.com/askbudi/roundtable). | | [ECC](/tools/affaan-m-ecc.md) | [roundtable](/tools/askbudi-roundtable.md) | | --- | --- | --- | | Tagline | The agent harness performance optimization system for AI agents | Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface | | Stars | 228,395 | 119 | | Forks | 35,037 | 17 | | Open issues | 93 | 7 | | Language | JavaScript | Python | | 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 | - | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [ECC](/tools/affaan-m-ecc.md) | [roundtable](/tools/askbudi-roundtable.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 2d | 278d | | Open issues (now) | 93 | 7 | | Owner type | User | Organization | | Security scan | No MCP manifest | 2 low (2 low) | | Full report | [trust report](/tools/affaan-m-ecc/trust.md) | [trust report](/tools/askbudi-roundtable/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; roundtable is Python. - 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: ai-agents, anthropic, claude, 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 roundtable if… - roundtable is primarily Python; ECC is JavaScript. - Tags unique to roundtable: cursor, gemini-cli, mcp-server, openai-codex. - Leaner open-issue backlog (7). ## 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 roundtable - Last GitHub push was 279 days ago (slowing maintenance, Oct 6, 2025). Validate activity before betting a new project on roundtable. - 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. ## Common questions ### What is the difference between ECC and roundtable? ECC: The agent harness performance optimization system for AI agents. roundtable: Zero-configuration MCP server that unifies multiple AI coding assistants (Codex, Claude Code, Cursor, Gemini) through intelligent auto-discovery and standardized interface. See the comparison table for live GitHub stats and shared categories. ### When should I choose ECC over roundtable? Choose ECC over roundtable when ECC is primarily JavaScript; roundtable is Python; 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: ai-agents, anthropic, claude, 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 roundtable over ECC? Choose roundtable over ECC when roundtable is primarily Python; ECC is JavaScript; Tags unique to roundtable: cursor, gemini-cli, mcp-server, openai-codex; Leaner open-issue backlog (7). ### 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 roundtable? Last GitHub push was 279 days ago (slowing maintenance, Oct 6, 2025). Validate activity before betting a new project on roundtable. 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. ### Is ECC or roundtable more popular on GitHub? ECC has more GitHub stars (228,395 vs 119). Stars measure visibility, not whether either tool fits your constraints. ### Are ECC and roundtable open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to ECC or roundtable? GraphCanon lists graph-backed alternatives at [ECC alternatives](/tools/affaan-m-ecc/alternatives) and [roundtable alternatives](/tools/askbudi-roundtable/alternatives) ([ECC markdown twin](/tools/affaan-m-ecc/alternatives.md), [roundtable markdown twin](/tools/askbudi-roundtable/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-askbudi-roundtable.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, ECC or roundtable? ECC: Very active. roundtable: 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 roundtable? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [ECC trust report](/tools/affaan-m-ecc/trust); [roundtable trust report](/tools/askbudi-roundtable/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/_