--- title: "SeaGOAT vs semtools" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/kantord-seagoat-vs-run-llama-semtools" tools: ["kantord-seagoat", "run-llama-semtools"] --- # SeaGOAT vs semtools *GraphCanon updated Aug 21, 2026* ## Verdict Pick SeaGOAT if seaGOAT leverages local-first processing and semantic embeddings to offer an enhanced understanding of codebases compared to traditional grep-based searches; pick semtools if semtools is a Rust-based tool that provides command-line capabilities for semantic searching and parsing documents. It leverages embeddings and static embedding techniques to offer robust data retrieval functionalities. [SeaGOAT](https://kantord.github.io/SeaGOAT/) reports 1.3k GitHub stars, 91 forks, and 44 open issues, last pushed Jul 21, 2026. [semtools](https://github.com/run-llama/semtools) has 1.8k stars, 138 forks, and 6 open issues, last pushed Mar 11, 2026. Figures are from public GitHub metadata via [SeaGOAT's repository](https://github.com/kantord/SeaGOAT) and [semtools's repository](https://github.com/run-llama/semtools). | | [SeaGOAT](/tools/kantord-seagoat.md) | [semtools](/tools/run-llama-semtools.md) | | --- | --- | --- | | Tagline | local-first semantic code search engine | Semantic search and document parsing tools for the command line | | Stars | 1,302 | 1,838 | | Forks | 91 | 138 | | Open issues | 44 | 6 | | Language | Python | Rust | | Adopt for | SeaGOAT leverages local-first processing and semantic embeddings to offer an enhanced understanding of codebases compared to traditional grep-based searches. | semtools is a Rust-based tool that provides command-line capabilities for semantic searching and parsing documents. It leverages embeddings and static embedding techniques to offer robust data retrieval functionalities. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [SeaGOAT](/tools/kantord-seagoat.md) | [semtools](/tools/run-llama-semtools.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Slowing (36%) | | Days since push | 31d | 133d | | Open issues (now) | 44 | 6 | | Stars delta | 0 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | User | Organization | | Full report | [trust report](/tools/kantord-seagoat/trust.md) | [trust report](/tools/run-llama-semtools/trust.md) | ## Decision facts: SeaGOAT - **Requirements:** Runs locally and only requires a machine setup with Python environment and possibly extra dependencies for vector database operations. - **Adopt for:** SeaGOAT leverages local-first processing and semantic embeddings to offer an enhanced understanding of codebases compared to traditional grep-based searches. ## Decision facts: semtools - **Pricing:** freemium - Freely available under the MIT license, with possible premium features not covered by open-source. - **Adopt for:** semtools is a Rust-based tool that provides command-line capabilities for semantic searching and parsing documents. It leverages embeddings and static embedding techniques to offer robust data retrieval functionalities. ## Choose when ### Choose SeaGOAT if… - SeaGOAT is primarily Python; semtools is Rust. - Requirements: Runs locally and only requires a machine setup with Python environment and possibly extra dependencies for vector database operations.. - Tags unique to SeaGOAT: ai, code-search, vector-embeddings. - When you are working with large codebases that require a deeper understanding than regular expressions can provide, SeaGOAT's semantic capabilities shine. ### Choose semtools if… - semtools is primarily Rust; SeaGOAT is Python. - Pricing: Freely available under the MIT license, with possible premium features not covered by open-source.. - Tags unique to semtools: cli, parser, rust, search. - - When you require fast, statically typed document and search functionality via the command line built in Rust. ## When NOT to use SeaGOAT - If your primary need is simple pattern matching with text-based operations rather than deeper code semantics, you might find SeaGOAT overkill and prefer a straightforward grep tool instead. - When real-time updates or cloud integration are required for continuous monitoring or remote access to search data, SeaGOAT's local-first approach could be limiting. ## When NOT to use semtools - - If your workflow does not frequently involve command-line operations for managing search capabilities on documents, as semtools is explicitly designed for such usage. - - When there's no plan or necessity to integrate with Rust-based ecosystems, since semtools might require additional effort in setting up a compatible environment. ## Common questions ### What is the difference between SeaGOAT and semtools? SeaGOAT: local-first semantic code search engine. semtools: Semantic search and document parsing tools for the command line. See the comparison table for live GitHub stats and shared categories. ### When should I choose SeaGOAT over semtools? Choose SeaGOAT over semtools when SeaGOAT is primarily Python; semtools is Rust; Requirements: Runs locally and only requires a machine setup with Python environment and possibly extra dependencies for vector database operations.; Tags unique to SeaGOAT: ai, code-search, vector-embeddings; When you are working with large codebases that require a deeper understanding than regular expressions can provide, SeaGOAT's semantic capabilities shine. ### When should I choose semtools over SeaGOAT? Choose semtools over SeaGOAT when semtools is primarily Rust; SeaGOAT is Python; Pricing: Freely available under the MIT license, with possible premium features not covered by open-source.; Tags unique to semtools: cli, parser, rust, search; - When you require fast, statically typed document and search functionality via the command line built in Rust. ### When should I avoid SeaGOAT? If your primary need is simple pattern matching with text-based operations rather than deeper code semantics, you might find SeaGOAT overkill and prefer a straightforward grep tool instead. When real-time updates or cloud integration are required for continuous monitoring or remote access to search data, SeaGOAT's local-first approach could be limiting. ### When should I avoid semtools? - If your workflow does not frequently involve command-line operations for managing search capabilities on documents, as semtools is explicitly designed for such usage. - When there's no plan or necessity to integrate with Rust-based ecosystems, since semtools might require additional effort in setting up a compatible environment. ### Is SeaGOAT or semtools more popular on GitHub? semtools has more GitHub stars (1,838 vs 1,302). Stars measure visibility, not whether either tool fits your constraints. ### Are SeaGOAT and semtools open source? Yes - both are open-source projects on GitHub (SeaGOAT: MIT, semtools: MIT). ### Where can I find alternatives to SeaGOAT or semtools? GraphCanon lists graph-backed alternatives at [SeaGOAT alternatives](/tools/kantord-seagoat/alternatives) and [semtools alternatives](/tools/run-llama-semtools/alternatives) ([SeaGOAT markdown twin](/tools/kantord-seagoat/alternatives.md), [semtools markdown twin](/tools/run-llama-semtools/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/kantord-seagoat-vs-run-llama-semtools.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, SeaGOAT or semtools? SeaGOAT: Steady. semtools: 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 SeaGOAT and semtools? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [SeaGOAT trust report](/tools/kantord-seagoat/trust); [semtools trust report](/tools/run-llama-semtools/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=kantord-seagoat`](/api/graphcanon/graph?tool=kantord-seagoat) - 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/_