--- title: "contexto vs agentflow" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ekailabs-contexto-vs-simonmesmith-agentflow" tools: ["ekailabs-contexto", "simonmesmith-agentflow"] --- # contexto vs agentflow *GraphCanon updated Aug 16, 2026* ## Verdict Pick contexto if contexto is a TypeScript-based Context Engine designed to handle context management for long-running AI agents such as OpenClaw and Hermes; pick agentflow if agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. [contexto](https://www.getcontexto.com) reports 627 GitHub stars, 23 forks, and 21 open issues, last pushed Jun 10, 2026. [agentflow](https://github.com/simonmesmith/agentflow) has 320 stars, 27 forks, and 13 open issues, last pushed Aug 11, 2023. Figures are from public GitHub metadata via [contexto's repository](https://github.com/ekailabs/contexto) and [agentflow's repository](https://github.com/simonmesmith/agentflow). | | [contexto](/tools/ekailabs-contexto.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Tagline | Context Engine for long-running AI agents | Complex LLM Workflows from Simple JSON | | Stars | 627 | 320 | | Forks | 23 | 27 | | Open issues | 21 | 13 | | Language | TypeScript | Python | | Adopt for | contexto is a TypeScript-based Context Engine designed to handle context management for long-running AI agents such as OpenClaw and Hermes. | Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. | | Persona | - | - | | Runtime | - | - | | License | contexto is open-source software licensed under the Apache-2.0 license. | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [contexto](/tools/ekailabs-contexto.md) | [agentflow](/tools/simonmesmith-agentflow.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 53d | 1100d | | Open issues (now) | 21 | 13 | | Stars delta | Unknown | -1 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/ekailabs-contexto/trust.md) | [trust report](/tools/simonmesmith-agentflow/trust.md) | ## Decision facts: contexto - **Pricing:** unknown - The repository description indicates managed hosting options are available, but pricing details are not specified here. - **Requirements:** Depends on TypeScript and is built with applications running AI agents such as OpenClaw and Hermes in mind. - **Adopt for:** contexto is a TypeScript-based Context Engine designed to handle context management for long-running AI agents such as OpenClaw and Hermes. - **License detail:** contexto is open-source software licensed under the Apache-2.0 license. ## Decision facts: agentflow - **Adopt for:** Agentflow simplifies the creation of complex workflows for large language models through simple JSON configurations. ## Choose when ### Choose contexto if… - contexto is primarily TypeScript; agentflow is Python. - License: contexto is Apache-2.0, agentflow is MIT. - Pricing: The repository description indicates managed hosting options are available, but pricing details are not specified here.. - Requirements: Depends on TypeScript and is built with applications running AI agents such as OpenClaw and Hermes in mind.. - Tags unique to contexto: context management, hermes, long-running sessions, managed hosting. - Also covers Data & Retrieval. - contexto ships Docker support for self-hosted deployment. - When developing applications with persistently running AI agents that require maintenance of session state over extended periods. ### Choose agentflow if… - agentflow is primarily Python; contexto is TypeScript. - License: agentflow is MIT, contexto is Apache-2.0. - Tags unique to agentflow: json, large language models, python, workflow-management. - Also covers LLM Frameworks. - When you need to rapidly prototype LLM workflows with minimal coding via JSON configs ## When NOT to use contexto - For projects not involving long-running AI agents needing persistent context management, as it's specifically tailored for such use cases with its integration support for OpenClaw and Hermes. - If you are looking for a solution that supports multiple programming languages; contexto exclusively uses TypeScript. ## When NOT to use agentflow - Avoid if requiring advanced customization that goes beyond basic JSON configurations - Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ## Common questions ### What is the difference between contexto and agentflow? contexto: Context Engine for long-running AI agents. agentflow: Complex LLM Workflows from Simple JSON. See the comparison table for live GitHub stats and shared categories. ### When should I choose contexto over agentflow? Choose contexto over agentflow when contexto is primarily TypeScript; agentflow is Python; License: contexto is Apache-2.0, agentflow is MIT; Pricing: The repository description indicates managed hosting options are available, but pricing details are not specified here.; Requirements: Depends on TypeScript and is built with applications running AI agents such as OpenClaw and Hermes in mind.; Tags unique to contexto: context management, hermes, long-running sessions, managed hosting; Also covers Data & Retrieval; contexto ships Docker support for self-hosted deployment; When developing applications with persistently running AI agents that require maintenance of session state over extended periods. ### When should I choose agentflow over contexto? Choose agentflow over contexto when agentflow is primarily Python; contexto is TypeScript; License: agentflow is MIT, contexto is Apache-2.0; Tags unique to agentflow: json, large language models, python, workflow-management; Also covers LLM Frameworks; When you need to rapidly prototype LLM workflows with minimal coding via JSON configs. ### When should I avoid contexto? For projects not involving long-running AI agents needing persistent context management, as it's specifically tailored for such use cases with its integration support for OpenClaw and Hermes. If you are looking for a solution that supports multiple programming languages; contexto exclusively uses TypeScript. ### When should I avoid agentflow? Avoid if requiring advanced customization that goes beyond basic JSON configurations Not suitable for scenarios needing real-time dynamic changes in workflow setup during execution ### Is contexto or agentflow more popular on GitHub? contexto has more GitHub stars (627 vs 320). Stars measure visibility, not whether either tool fits your constraints. ### Are contexto and agentflow open source? Yes - both are open-source projects on GitHub (contexto: Apache-2.0, agentflow: MIT). ### Where can I find alternatives to contexto or agentflow? GraphCanon lists graph-backed alternatives at [contexto alternatives](/tools/ekailabs-contexto/alternatives) and [agentflow alternatives](/tools/simonmesmith-agentflow/alternatives) ([contexto markdown twin](/tools/ekailabs-contexto/alternatives.md), [agentflow markdown twin](/tools/simonmesmith-agentflow/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-simonmesmith-agentflow.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, contexto or agentflow? contexto: Steady. agentflow: Dormant. 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 agentflow? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [contexto trust report](/tools/ekailabs-contexto/trust); [agentflow trust report](/tools/simonmesmith-agentflow/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/_