--- title: "oh-my-openagent vs ai-powered-search" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/code-yeongyu-oh-my-openagent-vs-treygrainger-ai-powered-search" tools: ["code-yeongyu-oh-my-openagent", "treygrainger-ai-powered-search"] --- # oh-my-openagent vs ai-powered-search *GraphCanon updated Jul 11, 2026* ## Verdict Pick oh-my-openagent when oh-my-openagent is primarily TypeScript; ai-powered-search is Jupyter Notebook; pick ai-powered-search when ai-powered-search is primarily Jupyter Notebook; oh-my-openagent is TypeScript. [oh-my-openagent](https://omo.dev) reports 66k GitHub stars, 5.3k forks, and 876 open issues, last pushed Jul 11, 2026. [ai-powered-search](https://aipoweredsearch.com) has 398 stars, 114 forks, and 10 open issues, last pushed Jul 9, 2026. Figures are from public GitHub metadata via [oh-my-openagent's repository](https://github.com/code-yeongyu/oh-my-openagent) and [ai-powered-search's repository](https://github.com/treygrainger/ai-powered-search). | | [oh-my-openagent](/tools/code-yeongyu-oh-my-openagent.md) | [ai-powered-search](/tools/treygrainger-ai-powered-search.md) | | --- | --- | --- | | Tagline | A coding agent for complex codebases, supporting multiple AI agents like ChatGPT and Claude. | The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course | | Stars | 65,526 | 398 | | Forks | 5,344 | 114 | | Open issues | 876 | 10 | | Language | TypeScript | Jupyter Notebook | | Adopt for | Decisive facts about oh-my-openagent. | - | | Persona | - | - | | Runtime | - | - | | License | Other | - | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oh-my-openagent](/tools/code-yeongyu-oh-my-openagent.md) | [ai-powered-search](/tools/treygrainger-ai-powered-search.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 876 | 10 | | Full report | [trust report](/tools/code-yeongyu-oh-my-openagent/trust.md) | [trust report](/tools/treygrainger-ai-powered-search/trust.md) | ## Decision facts: oh-my-openagent - **Adopt for:** Decisive facts about oh-my-openagent. ## Choose when ### Choose oh-my-openagent if… - oh-my-openagent is primarily TypeScript; ai-powered-search is Jupyter Notebook. - Tags unique to oh-my-openagent: ai-agents, anthropic, chatgpt, claude. - oh-my-openagent ships an MCP server manifest. - When working with complex codebases and requiring integration with multiple AI systems like Anthropic, ChatGPT, and Claude for better code orchestration and lifecycle hook management. ### Choose ai-powered-search if… - ai-powered-search is primarily Jupyter Notebook; oh-my-openagent is TypeScript. - Tags unique to ai-powered-search: ai-powered-search, click-models, foundation models, generative-search. - Also covers Vector Databases. ## When NOT to use oh-my-openagent - When your project is not reliant on AI integration or complex orchestration capabilities. For simpler codebases, its advanced features may be overkill. - If your development environment does not support TypeScript or if you are exclusively working with Codex CLI and prefer a less integrated solution, opting for another tool could be more suitable since ## When NOT to use ai-powered-search - 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. - Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ## Common questions ### What is the difference between oh-my-openagent and ai-powered-search? oh-my-openagent: A coding agent for complex codebases, supporting multiple AI agents like ChatGPT and Claude.. ai-powered-search: The codebase for the book "AI-Powered Search" (Manning Publications, 2025) and associated "AI-Powered Search: Modern Retrieval for Humans & Agents" Maven course. See the comparison table for live GitHub stats and shared categories. ### When should I choose oh-my-openagent over ai-powered-search? Choose oh-my-openagent over ai-powered-search when oh-my-openagent is primarily TypeScript; ai-powered-search is Jupyter Notebook; Tags unique to oh-my-openagent: ai-agents, anthropic, chatgpt, claude; oh-my-openagent ships an MCP server manifest; When working with complex codebases and requiring integration with multiple AI systems like Anthropic, ChatGPT, and Claude for better code orchestration and lifecycle hook management. ### When should I choose ai-powered-search over oh-my-openagent? Choose ai-powered-search over oh-my-openagent when ai-powered-search is primarily Jupyter Notebook; oh-my-openagent is TypeScript; Tags unique to ai-powered-search: ai-powered-search, click-models, foundation models, generative-search; Also covers Vector Databases. ### When should I avoid oh-my-openagent? When your project is not reliant on AI integration or complex orchestration capabilities. For simpler codebases, its advanced features may be overkill. If your development environment does not support TypeScript or if you are exclusively working with Codex CLI and prefer a less integrated solution, opting for another tool could be more suitable since ### When should I avoid ai-powered-search? 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. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate. ### Is oh-my-openagent or ai-powered-search more popular on GitHub? oh-my-openagent has more GitHub stars (65,526 vs 398). Stars measure visibility, not whether either tool fits your constraints. ### Are oh-my-openagent and ai-powered-search open source? Yes - both are open-source projects on GitHub. ### Where can I find alternatives to oh-my-openagent or ai-powered-search? GraphCanon lists graph-backed alternatives at [oh-my-openagent alternatives](/tools/code-yeongyu-oh-my-openagent/alternatives) and [ai-powered-search alternatives](/tools/treygrainger-ai-powered-search/alternatives) ([oh-my-openagent markdown twin](/tools/code-yeongyu-oh-my-openagent/alternatives.md), [ai-powered-search markdown twin](/tools/treygrainger-ai-powered-search/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/code-yeongyu-oh-my-openagent-vs-treygrainger-ai-powered-search.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oh-my-openagent or ai-powered-search? oh-my-openagent: Very active. ai-powered-search: 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 oh-my-openagent and ai-powered-search? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oh-my-openagent trust report](/tools/code-yeongyu-oh-my-openagent/trust); [ai-powered-search trust report](/tools/treygrainger-ai-powered-search/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=code-yeongyu-oh-my-openagent`](/api/graphcanon/graph?tool=code-yeongyu-oh-my-openagent) - 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/_