--- title: "contexto vs agentos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ekailabs-contexto-vs-framerslab-agentos" tools: ["ekailabs-contexto", "framerslab-agentos"] --- # contexto vs agentos *GraphCanon updated Aug 23, 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 agentos if agentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. [contexto](https://www.getcontexto.com) reports 627 GitHub stars, 23 forks, and 21 open issues, last pushed Jun 10, 2026. [agentos](https://docs.agentos.sh) has 617 stars, 92 forks, and 10 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [contexto's repository](https://github.com/ekailabs/contexto) and [agentos's repository](https://github.com/framerslab/agentos). | | [contexto](/tools/ekailabs-contexto.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Tagline | Context Engine for long-running AI agents | TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration | | Stars | 627 | 617 | | Forks | 23 | 92 | | Open issues | 21 | 10 | | Language | TypeScript | 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. | AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. | | Persona | - | - | | Runtime | - | - | | License | contexto is open-source software licensed under the Apache-2.0 license. | Apache-2.0 | | Categories | AI Agents, Data & Retrieval | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [contexto](/tools/ekailabs-contexto.md) | [agentos](/tools/framerslab-agentos.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Active (82%) | | Days since push | 53d | 15d | | Open issues (now) | 21 | 10 | | Stars delta | Unknown | +16 (30d) | | Open issues delta | Unknown | +1 (30d) | | Full report | [trust report](/tools/ekailabs-contexto/trust.md) | [trust report](/tools/framerslab-agentos/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: agentos - **Adopt for:** AgentOS supports eleven LLM providers with runtime tool forging capabilities for cognitive memory in TypeScript. ## Choose when ### Choose contexto if… - 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 agentos if… - Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent. - Need for cognitive memory and real-time tool generation in AI agents - More recently updated (last pushed Aug 7, 2026). ## 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 agentos - Preferring frameworks without multi-agent orchestration support - Prioritizing environments with less than eleven LLM provider options ## Common questions ### What is the difference between contexto and agentos? contexto: Context Engine for long-running AI agents. agentos: TypeScript AI agent framework providing cognitive memory and runtime tool forging with support for multi-agent orchestration. See the comparison table for live GitHub stats and shared categories. ### When should I choose contexto over agentos? Choose contexto over agentos when 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 agentos over contexto? Choose agentos over contexto when Tags unique to agentos: agent-framework, cognitive-memory, llm-orchestration, multi-agent; Need for cognitive memory and real-time tool generation in AI agents; More recently updated (last pushed Aug 7, 2026). ### 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 agentos? Preferring frameworks without multi-agent orchestration support Prioritizing environments with less than eleven LLM provider options ### Is contexto or agentos more popular on GitHub? contexto has more GitHub stars (627 vs 617). Stars measure visibility, not whether either tool fits your constraints. ### Are contexto and agentos open source? Yes - both are open-source projects on GitHub (contexto: Apache-2.0, agentos: Apache-2.0). ### Where can I find alternatives to contexto or agentos? GraphCanon lists graph-backed alternatives at [contexto alternatives](/tools/ekailabs-contexto/alternatives) and [agentos alternatives](/tools/framerslab-agentos/alternatives) ([contexto markdown twin](/tools/ekailabs-contexto/alternatives.md), [agentos markdown twin](/tools/framerslab-agentos/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-framerslab-agentos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, contexto or agentos? contexto: Steady. agentos: 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 agentos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [contexto trust report](/tools/ekailabs-contexto/trust); [agentos trust report](/tools/framerslab-agentos/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/_