---
title: "agent-protocol vs OpenAGI"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/agi-inc-agent-protocol-vs-agiresearch-openagi"
tools: ["agi-inc-agent-protocol", "agiresearch-openagi"]
---

# agent-protocol vs OpenAGI

*GraphCanon updated Aug 8, 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 OpenAGI if openAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer.

[agent-protocol](https://agentprotocol.ai) reports 1.5k GitHub stars, 185 forks, and 50 open issues, last pushed Apr 8, 2025. [OpenAGI](https://docs.aios.foundation) has 2.3k stars, 211 forks, and 10 open issues, last pushed Nov 28, 2024. Figures are from public GitHub metadata via [agent-protocol's repository](https://github.com/agi-inc/agent-protocol) and [OpenAGI's repository](https://github.com/agiresearch/OpenAGI).

| | [agent-protocol](/tools/agi-inc-agent-protocol.md) | [OpenAGI](/tools/agiresearch-openagi.md) |
| --- | --- | --- |
| Tagline | Common interface for AI agents | Agent creation package for building agents in AIOS |
| Stars | 1,458 | 2,280 |
| Forks | 185 | 211 |
| Open issues | 50 | 10 |
| 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. | OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT license allows freedom to use for any purpose with attribution. |
| 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) | [OpenAGI](/tools/agiresearch-openagi.md) |
| --- | --- | --- |
| Days since push | 484d | 617d |
| Open issues (now) | 50 | 10 |
| Full report | [trust report](/tools/agi-inc-agent-protocol/trust.md) | [trust report](/tools/agiresearch-openagi/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: OpenAGI

- **Hosting:** self hosted - OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure.
- **Pricing:** freemium - Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.
- **Adopt for:** OpenAGI is an agent creation package allowing for the development of AI agents that can integrate with the AIOS system. It's recommended to migrate towards Cerebrum, which offers a newer SDK.
- **License detail:** MIT license allows freedom to use for any purpose with attribution.

## Choose when

### Choose agent-protocol if…

- Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4.
- When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them.
- More recently updated (last pushed Apr 8, 2025).

### Choose OpenAGI if…

- OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure.
- Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository..
- Tags unique to OpenAGI: agiresearch, aios.
- - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul

## 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 OpenAGI

- - **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions
- - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement

## Common questions

### What is the difference between agent-protocol and OpenAGI?

agent-protocol: Common interface for AI agents. OpenAGI: Agent creation package for building agents in AIOS. See the comparison table for live GitHub stats and shared categories.

### When should I choose agent-protocol over OpenAGI?

Choose agent-protocol over OpenAGI when Tags unique to agent-protocol: ai-agent, api, auto-gpt, gpt-4; When you want to ensure interoperability between different AI agents irrespective of the frameworks used by them; More recently updated (last pushed Apr 8, 2025).

### When should I choose OpenAGI over agent-protocol?

Choose OpenAGI over agent-protocol when OpenAGI is a self-hostable package that requires deployment and management on your own infrastructure; Pricing: Free to use under MIT license; free for non-commercial purposes, commercial projects might require additional agreements or payment plans not specified in the repository.; Tags unique to OpenAGI: agiresearch, aios; - **Current Projects**: If you have existing projects built on OpenAGI and they need continued maintenance or minor updates rather than a major overhaul.

### 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 OpenAGI?

- **New Projects**: OpenAGI recommends migration to Cerebrum, marking it unsuitable for new projects looking towards future-proof solutions - **Advanced Development Needs**: When requiring enhanced capabilities or features that are only included in the newer framework (Cerebrum), sticking with OpenAGI may limit advancement

### Is agent-protocol or OpenAGI more popular on GitHub?

OpenAGI has more GitHub stars (2,280 vs 1,458). Stars measure visibility, not whether either tool fits your constraints.

### Are agent-protocol and OpenAGI open source?

Yes - both are open-source projects on GitHub (agent-protocol: MIT, OpenAGI: MIT).

### Where can I find alternatives to agent-protocol or OpenAGI?

GraphCanon lists graph-backed alternatives at [agent-protocol alternatives](/tools/agi-inc-agent-protocol/alternatives) and [OpenAGI alternatives](/tools/agiresearch-openagi/alternatives) ([agent-protocol markdown twin](/tools/agi-inc-agent-protocol/alternatives.md), [OpenAGI markdown twin](/tools/agiresearch-openagi/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-agiresearch-openagi.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, agent-protocol or OpenAGI?

agent-protocol: Dormant. OpenAGI: Dormant. 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 OpenAGI?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agent-protocol trust report](/tools/agi-inc-agent-protocol/trust); [OpenAGI trust report](/tools/agiresearch-openagi/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/_
