---
title: "selfhost-ai vs unbody"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/kossakovsky-selfhost-ai-vs-unbody-io-unbody"
tools: ["kossakovsky-selfhost-ai", "unbody-io-unbody"]
---

# selfhost-ai vs unbody

*GraphCanon updated Jul 12, 2026*

## Verdict

Pick selfhost-ai when selfhost-ai is primarily Shell; unbody is TypeScript; pick unbody when unbody is primarily TypeScript; selfhost-ai is Shell.

[selfhost-ai](https://github.com/kossakovsky/selfhost-ai#readme) reports 897 GitHub stars, 228 forks, and 0 open issues, last pushed Jul 9, 2026. [unbody](https://unbody.io) has 527 stars, 49 forks, and 3 open issues, last pushed Apr 14, 2026. Figures are from public GitHub metadata via [selfhost-ai's repository](https://github.com/kossakovsky/selfhost-ai) and [unbody's repository](https://github.com/unbody-io/unbody).

| | [selfhost-ai](/tools/kossakovsky-selfhost-ai.md) | [unbody](/tools/unbody-io-unbody.md) |
| --- | --- | --- |
| Tagline | 🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative. | The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data. |
| Stars | 897 | 527 |
| Forks | 228 | 49 |
| Open issues | 0 | 3 |
| Language | Shell | TypeScript |
| Adopt for | - | unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | AI Agents, LLM Frameworks, Vector Databases | AI Agents, Data & Retrieval, Developer Tools, Vector Databases |

## Trust and health

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

| | [selfhost-ai](/tools/kossakovsky-selfhost-ai.md) | [unbody](/tools/unbody-io-unbody.md) |
| --- | --- | --- |
| Maintenance | Very active (96%) | Steady (60%) |
| Days since push | 1d | 88d |
| Open issues (now) | 0 | 3 |
| Owner type | User | Organization |
| Full report | [trust report](/tools/kossakovsky-selfhost-ai/trust.md) | [trust report](/tools/unbody-io-unbody/trust.md) |

## Decision facts: unbody

- **Adopt for:** unbody is positioned as a modular, open-source backend for AI-native applications emphasizing dynamic knowledge processing.

## Choose when

### Choose selfhost-ai if…

- selfhost-ai is primarily Shell; unbody is TypeScript.
- Tags unique to selfhost-ai: ai, ai-agents, automation, chatgpt-alternative.
- Also covers LLM Frameworks.

### Choose unbody if…

- unbody is primarily TypeScript; selfhost-ai is Shell.
- Tags unique to unbody: agentic-ai, ai-native, backend, chatbot.
- Also covers Data & Retrieval, Developer Tools.
- unbody ships Docker support for self-hosted deployment.
- You need to build an application that requires continuous learning and updating from new data in real-time.

## When NOT to use selfhost-ai

- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

## When NOT to use unbody

- If your requirement is for managing static datasets where the information does not evolve over time, like historical sales data analysis.
- For projects that do not need advanced integration with AI agents and require only traditional backend functionalities without sophisticated knowledge processing capabilities.

## Common questions

### What is the difference between selfhost-ai and unbody?

selfhost-ai: 🚀 Self-hosted AI automation platform. Deploy n8n, Ollama, Flowise, RAG, Supabase & 30+ tools with one command. Auto HTTPS. Free Zapier/Make alternative.. unbody: The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.. See the comparison table for live GitHub stats and shared categories.

### When should I choose selfhost-ai over unbody?

Choose selfhost-ai over unbody when selfhost-ai is primarily Shell; unbody is TypeScript; Tags unique to selfhost-ai: ai, ai-agents, automation, chatgpt-alternative; Also covers LLM Frameworks.

### When should I choose unbody over selfhost-ai?

Choose unbody over selfhost-ai when unbody is primarily TypeScript; selfhost-ai is Shell; Tags unique to unbody: agentic-ai, ai-native, backend, chatbot; Also covers Data & Retrieval, Developer Tools; unbody ships Docker support for self-hosted deployment; You need to build an application that requires continuous learning and updating from new data in real-time.

### When should I avoid selfhost-ai?

AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. Vector Databases: Don't reach for a dedicated vector DB under ~100k vectors; pgvector on your existing Postgres is simpler to operate.

### When should I avoid unbody?

If your requirement is for managing static datasets where the information does not evolve over time, like historical sales data analysis. For projects that do not need advanced integration with AI agents and require only traditional backend functionalities without sophisticated knowledge processing capabilities.

### Is selfhost-ai or unbody more popular on GitHub?

selfhost-ai has more GitHub stars (897 vs 527). Stars measure visibility, not whether either tool fits your constraints.

### Are selfhost-ai and unbody open source?

Yes - both are open-source projects on GitHub (selfhost-ai: Apache-2.0, unbody: Apache-2.0).

### Where can I find alternatives to selfhost-ai or unbody?

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

### Which is better maintained, selfhost-ai or unbody?

selfhost-ai: Very active. unbody: 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 selfhost-ai and unbody?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [selfhost-ai trust report](/tools/kossakovsky-selfhost-ai/trust); [unbody trust report](/tools/unbody-io-unbody/trust).

---

**Machine-readable endpoints**

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