--- title: "contexto vs openagent" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/ekailabs-contexto-vs-haohao-end-openagent" tools: ["ekailabs-contexto", "haohao-end-openagent"] --- # contexto vs openagent *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 openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. [contexto](https://www.getcontexto.com) reports 620 GitHub stars, 22 forks, and 21 open issues, last pushed Jun 10, 2026. [openagent](https://openllm.cloud) has 811 stars, 82 forks, and 49 open issues, last pushed Jul 17, 2026. Figures are from public GitHub metadata via [contexto's repository](https://github.com/ekailabs/contexto) and [openagent's repository](https://github.com/Haohao-end/openagent). | | [contexto](/tools/ekailabs-contexto.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Tagline | Context Engine for long-running AI agents | Harness architecture for rapidly building vertical AI agents | | Stars | 620 | 811 | | Forks | 22 | 82 | | Open issues | 21 | 49 | | Language | TypeScript | Python | | Adopt for | Contexto is a context engine for long-running AI agents, supporting OpenClaw and Hermes, with managed hosting options. | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | AI Agents, Data & Retrieval | AI Agents, Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [contexto](/tools/ekailabs-contexto.md) | [openagent](/tools/haohao-end-openagent.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Steady (60%) | | Days since push | 100d | 64d | | Open issues (now) | 21 | 49 | | Stars delta | -7 (30d) | +19 (30d) | | Open issues delta | 0 (30d) | +3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/ekailabs-contexto/trust.md) | [trust report](/tools/haohao-end-openagent/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: openagent - **Adopt for:** OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. ## Choose when ### Choose contexto if… - contexto is primarily TypeScript; openagent is Python. - License: contexto is Apache-2.0, openagent 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 openagent if… - openagent is primarily Python; contexto is TypeScript. - License: openagent is MIT, contexto is Apache-2.0. - Tags unique to openagent: agent, ai, celery, deepagents. - Also covers Vector Databases. - Need integration of OpenAI and Dify functionalities. ## 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 openagent - Projects requiring only basic AI functionality without deep reasoning loops or RAG. - Teams preferring non-Python environments for AI agent development. ## Common questions ### What is the difference between contexto and openagent? contexto: Context Engine for long-running AI agents. openagent: Harness architecture for rapidly building vertical AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose contexto over openagent? Choose contexto over openagent when contexto is primarily TypeScript; openagent is Python; License: contexto is Apache-2.0, openagent 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 openagent over contexto? Choose openagent over contexto when openagent is primarily Python; contexto is TypeScript; License: openagent is MIT, contexto is Apache-2.0; Tags unique to openagent: agent, ai, celery, deepagents; Also covers Vector Databases; Need integration of OpenAI and Dify functionalities. ### 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 openagent? Projects requiring only basic AI functionality without deep reasoning loops or RAG. Teams preferring non-Python environments for AI agent development. ### Is contexto or openagent more popular on GitHub? openagent has more GitHub stars (811 vs 620). Stars measure visibility, not whether either tool fits your constraints. ### Are contexto and openagent open source? Yes - both are open-source projects on GitHub (contexto: Apache-2.0, openagent: MIT). ### Where can I find alternatives to contexto or openagent? GraphCanon lists graph-backed alternatives at [contexto alternatives](/tools/ekailabs-contexto/alternatives) and [openagent alternatives](/tools/haohao-end-openagent/alternatives) ([contexto markdown twin](/tools/ekailabs-contexto/alternatives.md), [openagent markdown twin](/tools/haohao-end-openagent/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-haohao-end-openagent.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, contexto or openagent? contexto: Slowing. openagent: 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 contexto and openagent? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [contexto trust report](/tools/ekailabs-contexto/trust); [openagent trust report](/tools/haohao-end-openagent/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/_