Comparison
Open WebUI is a beautiful self-hosted chat interface for LLMs. Pinchy is an agent platform for teams. Different problems, different shapes — and many teams run both.
The Core Difference
A self-hosted ChatGPT clone. Users pick a model, start a conversation, attach documents, and chat. The primary unit is the chat session. Tools and RAG are conversation-level add-ons.
The primary unit is the agent: a role with scoped plugins, a named knowledge base, access control, and an audit trail. Users talk to agents — not to raw models — through a web UI or Telegram.
Open WebUI is excellent for individuals exploring models. Pinchy is built for teams deploying agents in production. Many teams run both on the same infrastructure.
Side by Side
| Open WebUI | Pinchy | |
|---|---|---|
| Primary primitive | Chat session + model | Agent (role + tools + scope) |
| Self-hosted | Yes (Docker) | Yes (GHCR pre-built images) |
| Ollama support | Yes (excellent) | Yes (first-class, per-agent) |
| Tools / function calling | Per-conversation | Per-agent, allow-listed plugins |
| RAG / document context | Per conversation | Knowledge base per agent + group |
| User management | Basic (admin / user) | Users, groups, per-agent access |
| Role-based access control | Not the focus | Built-in (Enterprise) |
| Audit trail | Chat history | HMAC-signed, every tool call |
| Approval / human-in-loop | Manual | Part of agent contract |
| Usage & cost dashboard | Limited | Tokens & cost per agent/user |
| External channels (Telegram) | No | One bot per agent |
| Business-system integrations | Community plugins | Odoo + plugin architecture |
| License | BSD-3 / MIT (core) | AGPL-3.0 open source |
Being Honest
If you want "ChatGPT but self-hosted on my own hardware with my own models", Open WebUI is the best answer in the open-source world. Smooth UX, active community.
Switching between Ollama models, comparing responses, testing prompts — Open WebUI is purpose-built for that workflow. Pinchy is configured up front; Open WebUI stays fluid.
One container, sensible defaults, Ollama integration out of the box. If you don't need permissions, plugins, or audit trails, the simpler tool is better.
Where Pinchy Wins
Users, groups, per-agent access, shared agent configurations. Built to be the AI hub for a whole company, not one user's chat window.
Agents don't get the raw "shell" or "HTTP" tool. They get plugins with configuration and authorization. The HR agent cannot reach the finance data — that's a product guarantee, not a convention.
Every tool call, every knowledge-base hit, every approval — logged with HMAC-signed integrity. Your compliance team can trace what happened and why.
Six ready-to-use KB templates (Contract Analyzer, Resume Screener, Compliance Checker…). Each KB is scoped to an agent and a user group. Not "here are all the docs, figure it out".
First-class Odoo integration (CRM, invoicing, projects, HR). Plugin architecture so your own software can become an agent tool. Not a developer assembly project.
Each agent can have its own Telegram bot. Users talk to agents in the tool they already use, with identity and permissions carried over from the web UI.
Decision Guide
You or your team want a self-hosted ChatGPT-style interface. The goal is individual productivity with LLMs. Permissions, roles, and compliance are not the focus.
You want AI agents that behave like team colleagues — with roles, boundaries, and accountability. Different users should see different agents. Auditors want a paper trail.
Your engineers want Open WebUI for model exploration, and your company needs Pinchy for production AI agents. Both can share the same Ollama backend.
Book a call — let's talk about your AI agent needs and how Pinchy can help.
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