--- title: "contexto vs firecrawl" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ekailabs-contexto-vs-firecrawl-firecrawl" tools: ["ekailabs-contexto", "firecrawl-firecrawl"] --- # contexto vs firecrawl *GraphCanon updated Jul 11, 2026* ## Verdict Pick contexto when license: contexto is Apache-2.0, firecrawl is AGPL-3.0; pick firecrawl when license: firecrawl is AGPL-3.0, contexto is Apache-2.0. [contexto](https://www.getcontexto.com) reports 629 GitHub stars, 23 forks, and 21 open issues, last pushed Jun 10, 2026. [firecrawl](https://firecrawl.dev) has 149k stars, 8.5k forks, and 395 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [contexto's repository](https://github.com/ekailabs/contexto) and [firecrawl's repository](https://github.com/firecrawl/firecrawl). | | [contexto](/tools/ekailabs-contexto.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Tagline | Context Engine for your long-running AI agents | The API to search, scrape, and interact with the web at scale. 🔥 | | Stars | 629 | 149,109 | | Forks | 23 | 8,524 | | Open issues | 21 | 395 | | Language | TypeScript | TypeScript | | Adopt for | - | FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. | | Categories | AI Agents, Data & Retrieval, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [contexto](/tools/ekailabs-contexto.md) | [firecrawl](/tools/firecrawl-firecrawl.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 31d | 0d | | Open issues (now) | 21 | 395 | | Full report | [trust report](/tools/ekailabs-contexto/trust.md) | [trust report](/tools/firecrawl-firecrawl/trust.md) | ## Decision facts: firecrawl - **Hosting:** self hosted - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - **Requirements:** Min 4 GB RAM; Requires Docker - **Adopt for:** FireCrawl is an API-driven toolkit built for conducting scalable searches, scraping tasks, and interactive operations with the web using AI agents. - **License detail:** AGPL-3.0 license requires that any changes to FireCrawl's source code also be made available as free software when the adapted version is used. ## Choose when ### Choose contexto if… - License: contexto is Apache-2.0, firecrawl is AGPL-3.0. - Tags unique to contexto: typescript. - Also covers Evaluation & Observability. - contexto ships Docker support for self-hosted deployment. ### Choose firecrawl if… - License: firecrawl is AGPL-3.0, contexto is Apache-2.0. - FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data. - Requirements: Min 4 GB RAM; Requires Docker. - Tags unique to firecrawl: webscraping, scraping, search, crawler. - When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ## When NOT to use contexto - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. - Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ## When NOT to use firecrawl - For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. - If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ## Common questions ### What is the difference between contexto and firecrawl? contexto: Context Engine for your long-running AI agents. firecrawl: The API to search, scrape, and interact with the web at scale. 🔥. See the comparison table for live GitHub stats and shared categories. ### When should I choose contexto over firecrawl? Choose contexto over firecrawl when License: contexto is Apache-2.0, firecrawl is AGPL-3.0; Tags unique to contexto: typescript; Also covers Evaluation & Observability; contexto ships Docker support for self-hosted deployment. ### When should I choose firecrawl over contexto? Choose firecrawl over contexto when License: firecrawl is AGPL-3.0, contexto is Apache-2.0; FireCrawl can be deployed on your infrastructure, giving you complete control over where and how the API interacts with web data; Requirements: Min 4 GB RAM; Requires Docker; Tags unique to firecrawl: webscraping, scraping, search, crawler; When you need to automate complex web interactions that require understanding context or content from multiple sources, leveraging its AI agent capabilities. ### When should I avoid contexto? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Data & Retrieval: Skip a heavy ingestion framework when your corpus is small and static; a script plus the embedding API is enough. Evaluation & Observability: Defer heavyweight eval infra only until you have real traffic - never skip it once users depend on answers. ### When should I avoid firecrawl? For lightweight scraping tasks where minimal data extraction is sufficient and speed is of utmost importance without the need for advanced AI analysis. If you require open-source components under a license other than AGPL-3.0, as this license may impose certain restrictions on derivative works. ### Is contexto or firecrawl more popular on GitHub? firecrawl has more GitHub stars (149,109 vs 629). Stars measure visibility, not whether either tool fits your constraints. ### Are contexto and firecrawl open source? Yes - both are open-source projects on GitHub (contexto: Apache-2.0, firecrawl: AGPL-3.0). ### Where can I find alternatives to contexto or firecrawl? GraphCanon lists graph-backed alternatives at [contexto alternatives](/tools/ekailabs-contexto/alternatives) and [firecrawl alternatives](/tools/firecrawl-firecrawl/alternatives) ([contexto markdown twin](/tools/ekailabs-contexto/alternatives.md), [firecrawl markdown twin](/tools/firecrawl-firecrawl/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/ekailabs-contexto-vs-firecrawl-firecrawl.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, contexto or firecrawl? contexto: Steady. firecrawl: 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 contexto and firecrawl? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [contexto trust report](/tools/ekailabs-contexto/trust); [firecrawl trust report](/tools/firecrawl-firecrawl/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=ekailabs-contexto`](/api/graphcanon/graph?tool=ekailabs-contexto) - 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/_