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

# openakita vs openhuman

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick openakita if decision-relevant data on OpenAkita; pick openhuman if openHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration.

[openakita](http://openakita.ai) reports 2.0k GitHub stars, 277 forks, and 42 open issues, last pushed Sep 18, 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 [openakita's repository](https://github.com/openakita/openakita) and [openhuman's repository](https://github.com/tinyhumansai/openhuman).

| | [openakita](/tools/openakita-openakita.md) | [openhuman](/tools/tinyhumansai-openhuman.md) |
| --- | --- | --- |
| Tagline | An open-source AI assistant framework with skills and agent architecture | Open source agent harness with local-first memory and agent orchestration |
| Stars | 1,986 | 39,866 |
| Forks | 277 | 3,931 |
| Open issues | 42 | 199 |
| Language | Python | Rust |
| Adopt for | Decision-relevant data on OpenAkita | OpenHuman is an open-source agent harness written in Rust, emphasizing local-first memory and agent orchestration. |
| Persona | - | - |
| Runtime | - | - |
| License | AGPL-3.0 | GPL-3.0 |
| Categories | AI Agents | AI Agents, Developer Tools |

## Trust and health

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

| | [openakita](/tools/openakita-openakita.md) | [openhuman](/tools/tinyhumansai-openhuman.md) |
| --- | --- | --- |
| Days since push | 1d | 0d |
| Open issues (now) | 42 | 199 |
| Stars delta | +31 (30d) | Unknown |
| Open issues delta | +1 (30d) | Unknown |
| Owner type | User | Organization |
| Full report | [trust report](/tools/openakita-openakita/trust.md) | [trust report](/tools/tinyhumansai-openhuman/trust.md) |

## Decision facts: openakita

- **Adopt for:** Decision-relevant data on OpenAkita

## 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 openakita if…

- openakita is primarily Python; openhuman is Rust.
- License: openakita is AGPL-3.0, openhuman is GPL-3.0.
- Tags unique to openakita: agent, ai, assistant, automation.
- For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks

### Choose openhuman if…

- openhuman is primarily Rust; openakita is Python.
- License: openhuman is GPL-3.0, openakita is AGPL-3.0.
- 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.
- When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory.

## 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

## 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 openakita and openhuman?

openakita: An open-source AI assistant framework with skills and agent architecture. 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 openakita over openhuman?

Choose openakita over openhuman when openakita is primarily Python; openhuman is Rust; License: openakita is AGPL-3.0, openhuman is GPL-3.0; Tags unique to openakita: agent, ai, assistant, automation; For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks.

### When should I choose openhuman over openakita?

Choose openhuman over openakita when openhuman is primarily Rust; openakita is Python; License: openhuman is GPL-3.0, openakita is AGPL-3.0; 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; When you need a Rust-based solution for AI agent orchestration with a focus on local-first memory.

### 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

### 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 openakita or openhuman more popular on GitHub?

openhuman has more GitHub stars (39,866 vs 1,986). Stars measure visibility, not whether either tool fits your constraints.

### Are openakita and openhuman open source?

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

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

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

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

openakita: Very active. 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 openakita and openhuman?

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

---

**Machine-readable endpoints**

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