--- title: "askimo vs contexto" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/askimo-ai-askimo-vs-ekailabs-contexto" tools: ["askimo-ai-askimo", "ekailabs-contexto"] --- # askimo vs contexto *GraphCanon updated Aug 13, 2026* ## Verdict Pick askimo when askimo is primarily Kotlin; contexto is TypeScript; pick contexto when contexto is primarily TypeScript; askimo is Kotlin. [askimo](https://askimo.chat) reports 318 GitHub stars, 66 forks, and 19 open issues, last pushed Aug 13, 2026. [contexto](https://www.getcontexto.com) has 627 stars, 23 forks, and 21 open issues, last pushed Jun 10, 2026. Figures are from public GitHub metadata via [askimo's repository](https://github.com/askimo-ai/askimo) and [contexto's repository](https://github.com/ekailabs/contexto). | | [askimo](/tools/askimo-ai-askimo.md) | [contexto](/tools/ekailabs-contexto.md) | | --- | --- | --- | | Tagline | AI Client for chat, RAG, and agents with multi-provider model support. | Context Engine for long-running AI agents | | Stars | 318 | 627 | | Forks | 66 | 23 | | Open issues | 19 | 21 | | Language | Kotlin | TypeScript | | Adopt for | - | contexto is a TypeScript-based Context Engine designed to handle context management for long-running AI agents such as OpenClaw and Hermes. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | contexto is open-source software licensed under the Apache-2.0 license. | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [askimo](/tools/askimo-ai-askimo.md) | [contexto](/tools/ekailabs-contexto.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 0d | 53d | | Open issues (now) | 19 | 21 | | Full report | [trust report](/tools/askimo-ai-askimo/trust.md) | [trust report](/tools/ekailabs-contexto/trust.md) | ## Decision facts: askimo - **Pricing:** unknown - The pricing information on the Askimo repository is not specified. ## 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. ## Choose when ### Choose askimo if… - askimo is primarily Kotlin; contexto is TypeScript. - License: askimo is AGPL-3.0, contexto is Apache-2.0. - Pricing: The pricing information on the Askimo repository is not specified.. - Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client. - Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### Choose contexto if… - contexto is primarily TypeScript; askimo is Kotlin. - License: contexto is Apache-2.0, askimo is AGPL-3.0. - 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. - 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 NOT to use askimo - Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. - Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ## 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. ## Common questions ### What is the difference between askimo and contexto? askimo: AI Client for chat, RAG, and agents with multi-provider model support.. contexto: Context Engine for long-running AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose askimo over contexto? Choose askimo over contexto when askimo is primarily Kotlin; contexto is TypeScript; License: askimo is AGPL-3.0, contexto is Apache-2.0; Pricing: The pricing information on the Askimo repository is not specified.; Tags unique to askimo: agentic-workflow, ai-assistant, artificial-intelligence, chat-client; Use for Kotlin developers who need to integrate chat and AI agents with multi-provider support including Claude, Codex, Gemini, and OpenAI. ### When should I choose contexto over askimo? Choose contexto over askimo when contexto is primarily TypeScript; askimo is Kotlin; License: contexto is Apache-2.0, askimo is AGPL-3.0; 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; 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 avoid askimo? Avoid if you require a solution that supports languages other than Kotlin, as Askimo is exclusively built for Kotlin environments. Not suitable if your project has strict licensing requirements and requires proprietary code, due to its AGPL-3.0 license which might impose restrictions. ### 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. ### Is askimo or contexto more popular on GitHub? contexto has more GitHub stars (627 vs 318). Stars measure visibility, not whether either tool fits your constraints. ### Are askimo and contexto open source? Yes - both are open-source projects on GitHub (askimo: AGPL-3.0, contexto: Apache-2.0). ### Where can I find alternatives to askimo or contexto? GraphCanon lists graph-backed alternatives at [askimo alternatives](/tools/askimo-ai-askimo/alternatives) and [contexto alternatives](/tools/ekailabs-contexto/alternatives) ([askimo markdown twin](/tools/askimo-ai-askimo/alternatives.md), [contexto markdown twin](/tools/ekailabs-contexto/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/askimo-ai-askimo-vs-ekailabs-contexto.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, askimo or contexto? askimo: Very active. contexto: Steady. 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 askimo and contexto? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [askimo trust report](/tools/askimo-ai-askimo/trust); [contexto trust report](/tools/ekailabs-contexto/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=askimo-ai-askimo`](/api/graphcanon/graph?tool=askimo-ai-askimo) - 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/_