--- title: "contexto vs llama_cloud_services" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ekailabs-contexto-vs-run-llama-llama-cloud-services" tools: ["ekailabs-contexto", "run-llama-llama-cloud-services"] --- # contexto vs llama_cloud_services *GraphCanon updated Sep 20, 2026* ## Verdict Pick contexto if contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options; pick llama_cloud_services if llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. [contexto](https://www.getcontexto.com) reports 620 GitHub stars, 22 forks, and 21 open issues, last pushed Jun 10, 2026. [llama_cloud_services](https://cloud.llamaindex.ai) has 4.3k stars, 465 forks, and 365 open issues, last pushed May 18, 2026. Figures are from public GitHub metadata via [contexto's repository](https://github.com/ekailabs/contexto) and [llama_cloud_services's repository](https://github.com/run-llama/llama_cloud_services). | | [contexto](/tools/ekailabs-contexto.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Tagline | Context Engine for long-running AI agents | Knowledge Agents and Management in the Cloud | | Stars | 620 | 4,267 | | Forks | 22 | 465 | | Open issues | 21 | 365 | | Language | TypeScript | TypeScript | | Adopt for | Contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options. | Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT License | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [contexto](/tools/ekailabs-contexto.md) | [llama_cloud_services](/tools/run-llama-llama-cloud-services.md) | | --- | --- | --- | | Days since push | 100d | 122d | | Open issues (now) | 21 | 365 | | Stars delta | -7 (30d) | +9 (30d) | | Open issues delta | 0 (30d) | -1 (30d) | | Full report | [trust report](/tools/ekailabs-contexto/trust.md) | [trust report](/tools/run-llama-llama-cloud-services/trust.md) | ## Decision facts: contexto - **Hosting:** managed - Managed hosting is available, eliminating the need to run retrieval infrastructure yourself. - **Requirements:** Built specifically for OpenClaw and Hermes. - **Adopt for:** Contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options. - **License detail:** Apache-2.0 ## Decision facts: llama_cloud_services - **Pricing:** unknown - The repository is open-source under the MIT License, but pricing details for the cloud services are not provided. - **Requirements:** The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages. - **Adopt for:** Llama Cloud Services is a deprecated cloud-based tool for document parsing and processing, transitioning users to newer Python and TypeScript packages. - **License detail:** MIT License ## Choose when ### Choose contexto if… - License: contexto is Apache-2.0, llama_cloud_services is MIT. - Managed hosting is available, eliminating the need to run retrieval infrastructure yourself. - Requirements: Built specifically for OpenClaw and Hermes.. - Tags unique to contexto: apache 2.0, context-engine, hermes, long-running agents. - contexto ships Docker support for self-hosted deployment. - When you are developing long-running AI agents that require reliable context management. ### Choose llama_cloud_services if… - License: llama_cloud_services is MIT, contexto is Apache-2.0. - Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided.. - Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages.. - Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown. - Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026. ## When NOT to use contexto - If your AI agent does not require long-term context management or operates in short sessions. - When you are not using OpenClaw or Hermes and prefer a context engine that supports a wider range of frameworks. - If you need full control over your retrieval infrastructure and prefer not to use managed hosting services. ## When NOT to use llama_cloud_services - Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026. - Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages. ## Common questions ### What is the difference between contexto and llama_cloud_services? contexto: Context Engine for long-running AI agents. llama_cloud_services: Knowledge Agents and Management in the Cloud. See the comparison table for live GitHub stats and shared categories. ### When should I choose contexto over llama_cloud_services? Choose contexto over llama_cloud_services when License: contexto is Apache-2.0, llama_cloud_services is MIT; Managed hosting is available, eliminating the need to run retrieval infrastructure yourself; Requirements: Built specifically for OpenClaw and Hermes.; Tags unique to contexto: apache 2.0, context-engine, hermes, long-running agents; contexto ships Docker support for self-hosted deployment; When you are developing long-running AI agents that require reliable context management. ### When should I choose llama_cloud_services over contexto? Choose llama_cloud_services over contexto when License: llama_cloud_services is MIT, contexto is Apache-2.0; Pricing: The repository is open-source under the MIT License, but pricing details for the cloud services are not provided.; Requirements: The repository is deprecated and users are advised to migrate to the new Python or TypeScript packages.; Tags unique to llama_cloud_services: document, document-parser, document-parsing, docx-to-markdown; Use Llama Cloud Services if you are currently invested in its ecosystem and need to maintain existing projects until May 1, 2026. ### When should I avoid contexto? If your AI agent does not require long-term context management or operates in short sessions. When you are not using OpenClaw or Hermes and prefer a context engine that supports a wider range of frameworks. If you need full control over your retrieval infrastructure and prefer not to use managed hosting services. ### When should I avoid llama_cloud_services? Avoid Llama Cloud Services for new projects as it is deprecated and will not receive updates after May 1, 2026. Do not use it if you need the latest performance improvements and active support, as these are only available in the newer Python and TypeScript packages. ### Is contexto or llama_cloud_services more popular on GitHub? llama_cloud_services has more GitHub stars (4,267 vs 620). Stars measure visibility, not whether either tool fits your constraints. ### Are contexto and llama_cloud_services open source? Yes - both are open-source projects on GitHub (contexto: Apache-2.0, llama_cloud_services: MIT). ### Where can I find alternatives to contexto or llama_cloud_services? GraphCanon lists graph-backed alternatives at [contexto alternatives](/tools/ekailabs-contexto/alternatives) and [llama_cloud_services alternatives](/tools/run-llama-llama-cloud-services/alternatives) ([contexto markdown twin](/tools/ekailabs-contexto/alternatives.md), [llama_cloud_services markdown twin](/tools/run-llama-llama-cloud-services/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-run-llama-llama-cloud-services.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, contexto or llama_cloud_services? contexto: Slowing. llama_cloud_services: 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 contexto and llama_cloud_services? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [contexto trust report](/tools/ekailabs-contexto/trust); [llama_cloud_services trust report](/tools/run-llama-llama-cloud-services/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/_