--- title: "agent-protocol vs contexto" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-ekailabs-contexto" tools: ["agi-inc-agent-protocol", "ekailabs-contexto"] --- # agent-protocol vs contexto *GraphCanon updated Aug 6, 2026* ## Verdict Pick agent-protocol if agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking; 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. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 185 forks, and 50 open issues, last pushed Apr 8, 2025. [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 [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [contexto's repository](https://github.com/ekailabs/contexto). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [contexto](/tools/ekailabs-contexto.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | Context Engine for long-running AI agents | | Stars | 1,458 | 627 | | Forks | 185 | 23 | | Open issues | 50 | 21 | | Language | Python | TypeScript | | Adopt for | agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. | 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 | MIT | contexto is open-source software licensed under the Apache-2.0 license. | | Categories | AI Agents | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [contexto](/tools/ekailabs-contexto.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 484d | 53d | | Open issues (now) | 50 | 21 | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/ekailabs-contexto/trust.md) | ## Decision facts: agent-protocol - **Adopt for:** agent-protocol provides a standardized interface for interacting with various AI agents regardless of their underlying tech stack, aiming to ease development, deployment, and benchmarking. ## 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 agent-protocol if… - agent-protocol is primarily Python; contexto is TypeScript. - License: agent-protocol is MIT, contexto is Apache-2.0. - Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt. - When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### Choose contexto if… - contexto is primarily TypeScript; agent-protocol is Python. - License: contexto is Apache-2.0, agent-protocol 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 NOT to use agent-protocol - If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. - When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ## 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 agent-protocol and contexto? agent-protocol: Common interface for AI agents. contexto: Context Engine for long-running AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-protocol over contexto? Choose agent-protocol over contexto when agent-protocol is primarily Python; contexto is TypeScript; License: agent-protocol is MIT, contexto is Apache-2.0; Tags unique to agent-protocol: agents, ai-agent, api, auto-gpt; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them. ### When should I choose contexto over agent-protocol? Choose contexto over agent-protocol when contexto is primarily TypeScript; agent-protocol is Python; License: contexto is Apache-2.0, agent-protocol 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 avoid agent-protocol? If you are developing an isolated system with no intention to communicate or integrate with other AI agents outside this scope. When working in environments where specific, proprietary interfaces provide significantly better performance or features than adhering to a generic protocol could offer. ### 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 agent-protocol or contexto more popular on GitHub? agent-protocol has more GitHub stars (1,458 vs 627). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and contexto open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, contexto: Apache-2.0). ### Where can I find alternatives to agent-protocol or contexto? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [contexto alternatives](/tools/ekailabs-contexto/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/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/agi-inc-agent-protocol-vs-ekailabs-contexto.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or contexto? agent-protocol: Dormant. 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 agent-protocol and contexto? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [contexto trust report](/tools/ekailabs-contexto/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agi-inc-agent-protocol`](/api/graphcanon/graph?tool=agi-inc-agent-protocol) - 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/_