--- title: "agent-protocol vs openakita" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-openakita-openakita" tools: ["agi-inc-agent-protocol", "openakita-openakita"] --- # agent-protocol vs openakita *GraphCanon updated Sep 20, 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 openakita if decision-relevant data on OpenAkita. [agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 186 forks, and 49 open issues, last pushed Apr 8, 2025. [openakita](http://openakita.ai) has 2.0k stars, 277 forks, and 42 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [openakita's repository](https://github.com/openakita/openakita). | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [openakita](/tools/openakita-openakita.md) | | --- | --- | --- | | Tagline | Common interface for AI agents | An open-source AI assistant framework with skills and agent architecture | | Stars | 1,454 | 1,986 | | Forks | 186 | 277 | | Open issues | 49 | 42 | | Language | Python | Python | | 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-relevant data on OpenAkita | | Persona | - | - | | Runtime | - | - | | License | MIT | AGPL-3.0 | | Categories | AI Agents | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [openakita](/tools/openakita-openakita.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 515d | 1d | | Open issues (now) | 49 | 42 | | Stars delta | -4 (30d) | +31 (30d) | | Open issues delta | -1 (30d) | +1 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/openakita-openakita/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: openakita - **Adopt for:** Decision-relevant data on OpenAkita ## Choose when ### Choose agent-protocol if… - License: agent-protocol is MIT, openakita is AGPL-3.0. - 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 openakita if… - License: openakita is AGPL-3.0, agent-protocol is MIT. - Tags unique to openakita: agent, ai, assistant, automation. - openakita ships Docker support for self-hosted deployment. - For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks ## 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 openakita - Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly - Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ## Common questions ### What is the difference between agent-protocol and openakita? agent-protocol: Common interface for AI agents. openakita: An open-source AI assistant framework with skills and agent architecture. See the comparison table for live GitHub stats and shared categories. ### When should I choose agent-protocol over openakita? Choose agent-protocol over openakita when License: agent-protocol is MIT, openakita is AGPL-3.0; 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 openakita over agent-protocol? Choose openakita over agent-protocol when License: openakita is AGPL-3.0, agent-protocol is MIT; Tags unique to openakita: agent, ai, assistant, automation; openakita ships Docker support for self-hosted deployment; For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks. ### 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 openakita? Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ### Is agent-protocol or openakita more popular on GitHub? openakita has more GitHub stars (1,986 vs 1,454). Stars measure visibility, not whether either tool fits your constraints. ### Are agent-protocol and openakita open source? Yes - both are open-source projects on GitHub (agent-protocol: MIT, openakita: AGPL-3.0). ### Where can I find alternatives to agent-protocol or openakita? GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [openakita alternatives](/tools/openakita-openakita/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/alternatives.md), [openakita markdown twin](/tools/openakita-openakita/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-openakita-openakita.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agent-protocol or openakita? agent-protocol: Dormant. openakita: Very 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 agent-protocol and openakita? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [openakita trust report](/tools/openakita-openakita/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/_