---
title: "openagent vs openhuman"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/haohao-end-openagent-vs-tinyhumansai-openhuman"
tools: ["haohao-end-openagent", "tinyhumansai-openhuman"]
---

# openagent vs openhuman

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick openagent if openAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license; pick openhuman if openHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration.

[openagent](https://openllm.cloud) reports 811 GitHub stars, 82 forks, and 49 open issues, last pushed Jul 17, 2026. [openhuman](https://tinyhumans.ai/openhuman) has 40k stars, 3.9k forks, and 199 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [openagent's repository](https://github.com/Haohao-end/openagent) and [openhuman's repository](https://github.com/tinyhumansai/openhuman).

| | [openagent](/tools/haohao-end-openagent.md) | [openhuman](/tools/tinyhumansai-openhuman.md) |
| --- | --- | --- |
| Tagline | Harness architecture for rapidly building vertical AI agents | Open source agent harness with local-first memory and agent orchestration |
| Stars | 811 | 39,866 |
| Forks | 82 | 3,931 |
| Open issues | 49 | 199 |
| Language | Python | Rust |
| Adopt for | OpenAgent integrates OpenAI and Dify, focusing on deep reasoning loops, visual workflows, RAG, and agent delegation in Python under MIT license. | OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | GPL-3.0 |
| Categories | AI Agents, Data & Retrieval, Vector Databases | AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [openagent](/tools/haohao-end-openagent.md) | [openhuman](/tools/tinyhumansai-openhuman.md) |
| --- | --- | --- |
| Maintenance | Steady (60%) | Very active (96%) |
| Days since push | 64d | 0d |
| Open issues (now) | 49 | 199 |
| Stars delta | +19 (30d) | Unknown |
| Open issues delta | +3 (30d) | Unknown |
| Owner type | User | Organization |
| Full report | [trust report](/tools/haohao-end-openagent/trust.md) | [trust report](/tools/tinyhumansai-openhuman/trust.md) |

## 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.

## Decision facts: openhuman

- **Pricing:** freemium - Open source under GPL-3.0, free to use, modify, and distribute.
- **Requirements:** Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts.
- **Adopt for:** OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration.
- **License detail:** GPL-3.0

## Choose when

### Choose openagent if…

- openagent is primarily Python; openhuman is Rust.
- License: openagent is MIT, openhuman is GPL-3.0.
- Tags unique to openagent: agent, ai, celery, deepagents.
- Also covers Data & Retrieval, Vector Databases.
- Need integration of OpenAI and Dify functionalities.

### Choose openhuman if…

- openhuman is primarily Rust; openagent is Python.
- License: openhuman is GPL-3.0, openagent is MIT.
- Pricing: Open source under GPL-3.0, free to use, modify, and distribute..
- Requirements: Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts..
- Tags unique to openhuman: agent-orchestration, ai-agents, ai-assistant, desktop.
- Also covers Developer Tools.
- openhuman ships Docker support for self-hosted deployment.
- When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory.

## 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.

## When NOT to use openhuman

- If you prefer a language other than Rust for your AI development.
- When your project does not require local-first memory or privacy-focused features.
- If you are looking for a cloud-centric AI agent solution rather than a local-first approach.

## Common questions

### What is the difference between openagent and openhuman?

openagent: Harness architecture for rapidly building vertical AI agents. openhuman: Open source agent harness with local-first memory and agent orchestration. See the comparison table for live GitHub stats and shared categories.

### When should I choose openagent over openhuman?

Choose openagent over openhuman when openagent is primarily Python; openhuman is Rust; License: openagent is MIT, openhuman is GPL-3.0; Tags unique to openagent: agent, ai, celery, deepagents; Also covers Data & Retrieval, Vector Databases; Need integration of OpenAI and Dify functionalities.

### When should I choose openhuman over openagent?

Choose openhuman over openagent when openhuman is primarily Rust; openagent is Python; License: openhuman is GPL-3.0, openagent is MIT; Pricing: Open source under GPL-3.0, free to use, modify, and distribute.; Requirements: Min 2 GB RAM; Installation can be done via Homebrew, Debian/Ubuntu .deb, AUR, or install scripts.; Tags unique to openhuman: agent-orchestration, ai-agents, ai-assistant, desktop; Also covers Developer Tools; openhuman ships Docker support for self-hosted deployment; When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory.

### 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.

### When should I avoid openhuman?

If you prefer a language other than Rust for your AI development. When your project does not require local-first memory or privacy-focused features. If you are looking for a cloud-centric AI agent solution rather than a local-first approach.

### Is openagent or openhuman more popular on GitHub?

openhuman has more GitHub stars (39,866 vs 811). Stars measure visibility, not whether either tool fits your constraints.

### Are openagent and openhuman open source?

Yes - both are open-source projects on GitHub (openagent: MIT, openhuman: GPL-3.0).

### Where can I find alternatives to openagent or openhuman?

GraphCanon lists graph-backed alternatives at [openagent alternatives](/tools/haohao-end-openagent/alternatives) and [openhuman alternatives](/tools/tinyhumansai-openhuman/alternatives) ([openagent markdown twin](/tools/haohao-end-openagent/alternatives.md), [openhuman markdown twin](/tools/tinyhumansai-openhuman/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/haohao-end-openagent-vs-tinyhumansai-openhuman.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, openagent or openhuman?

openagent: Steady. openhuman: 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 openagent and openhuman?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openagent trust report](/tools/haohao-end-openagent/trust); [openhuman trust report](/tools/tinyhumansai-openhuman/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=haohao-end-openagent`](/api/graphcanon/graph?tool=haohao-end-openagent)
- 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/_
