---
title: "NextChat vs agents-from-scratch"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/chatgptnextweb-nextchat-vs-pguso-agents-from-scratch"
tools: ["chatgptnextweb-nextchat", "pguso-agents-from-scratch"]
---

# NextChat vs agents-from-scratch

*GraphCanon updated Sep 20, 2026*

## Verdict

Pick NextChat if nextChat is a lightweight and fast AI assistant that supports deployment across multiple platforms including web, iOS, MacOS, Android, Linux, and Windows; pick agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.

[NextChat](https://nextchat.club) reports 89k GitHub stars, 59k forks, and 865 open issues, last pushed Aug 11, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 1.0k stars, 251 forks, and 4 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [NextChat's repository](https://github.com/ChatGPTNextWeb/NextChat) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch).

| | [NextChat](/tools/chatgptnextweb-nextchat.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) |
| --- | --- | --- |
| Tagline | Light and Fast AI Assistant | Build AI agents locally without relying on frameworks or cloud APIs. |
| Stars | 88,790 | 1,017 |
| Forks | 59,040 | 251 |
| Open issues | 865 | 4 |
| Language | TypeScript | Python |
| Adopt for | NextChat is a lightweight and fast AI assistant that supports deployment across multiple platforms including web, iOS, MacOS, Android, Linux, and Windows. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. |
| Persona | - | - |
| Runtime | - | - |
| License | MIT | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. |
| Categories | AI Agents, Developer Tools | AI Agents, Developer Tools |

## Trust and health

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

| | [NextChat](/tools/chatgptnextweb-nextchat.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) |
| --- | --- | --- |
| Days since push | 40d | 56d |
| Open issues (now) | 865 | 4 |
| Stars delta | +173 (30d) | +63 (30d) |
| Open issues delta | +14 (30d) | +1 (30d) |
| Owner type | Organization | User |
| Full report | [trust report](/tools/chatgptnextweb-nextchat/trust.md) | [trust report](/tools/pguso-agents-from-scratch/trust.md) |

## Decision facts: NextChat

- **Requirements:** Requires Docker; Docker is recommended for execution.; NodeJS version >= 18 and Docker version >= 20 are required.
- **Adopt for:** NextChat is a lightweight and fast AI assistant that supports deployment across multiple platforms including web, iOS, MacOS, Android, Linux, and Windows.

## Decision facts: agents-from-scratch

- **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.
- **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies.
- **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes.

## Choose when

### Choose NextChat if…

- NextChat is primarily TypeScript; agents-from-scratch is Python.
- Requirements: Requires Docker; Docker is recommended for execution.; NodeJS version >= 18 and Docker version >= 20 are required..
- Tags unique to NextChat: calclaude, chatgpt, claude, cross-platform.
- NextChat ships Docker support for self-hosted deployment.
- NextChat ships an MCP server manifest.
- Use NextChat when you require cross-platform support for an AI assistant with minimal setup complexity

### Choose agents-from-scratch if…

- agents-from-scratch is primarily Python; NextChat is TypeScript.
- Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs..
- Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm.
- You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.

## When NOT to use NextChat

- Avoid NextChat if your deployment environment does not meet the minimum requirements of NodeJS >= 18 and Docker >= 20
- Do not use it when you are committed to technologies that do not mesh well with TypeScript or those platforms not covered in its cross-platform support.

## When NOT to use agents-from-scratch

- You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks.
- If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.

## Common questions

### What is the difference between NextChat and agents-from-scratch?

NextChat: Light and Fast AI Assistant. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories.

### When should I choose NextChat over agents-from-scratch?

Choose NextChat over agents-from-scratch when NextChat is primarily TypeScript; agents-from-scratch is Python; Requirements: Requires Docker; Docker is recommended for execution.; NodeJS version >= 18 and Docker version >= 20 are required.; Tags unique to NextChat: calclaude, chatgpt, claude, cross-platform; NextChat ships Docker support for self-hosted deployment; NextChat ships an MCP server manifest; Use NextChat when you require cross-platform support for an AI assistant with minimal setup complexity.

### When should I choose agents-from-scratch over NextChat?

Choose agents-from-scratch over NextChat when agents-from-scratch is primarily Python; NextChat is TypeScript; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture.

### When should I avoid NextChat?

Avoid NextChat if your deployment environment does not meet the minimum requirements of NodeJS >= 18 and Docker >= 20 Do not use it when you are committed to technologies that do not mesh well with TypeScript or those platforms not covered in its cross-platform support.

### When should I avoid agents-from-scratch?

You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure.

### Is NextChat or agents-from-scratch more popular on GitHub?

NextChat has more GitHub stars (88,790 vs 1,017). Stars measure visibility, not whether either tool fits your constraints.

### Are NextChat and agents-from-scratch open source?

Yes - both are open-source projects on GitHub (NextChat: MIT, agents-from-scratch: MIT).

### Where can I find alternatives to NextChat or agents-from-scratch?

GraphCanon lists graph-backed alternatives at [NextChat alternatives](/tools/chatgptnextweb-nextchat/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([NextChat markdown twin](/tools/chatgptnextweb-nextchat/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/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/chatgptnextweb-nextchat-vs-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, NextChat or agents-from-scratch?

NextChat: Steady. agents-from-scratch: 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 NextChat and agents-from-scratch?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [NextChat trust report](/tools/chatgptnextweb-nextchat/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/trust).

---

**Machine-readable endpoints**

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