# Grip AI vs OpenClaw

> Side-by-side comparison of two projects in the OpenClaw ecosystem.

Canonical HTML: https://shelldex.com/compare/grip-ai-vs-openclaw/
JSON: https://shelldex.com/api/compare/grip-ai-vs-openclaw.json

| Field | Grip AI | OpenClaw |
| --- | --- | --- |
| Tagline | OpenClaw-style multi-channel agent platform | The OG self-hosted AI super-agent |
| Language | python | typescript |
| Status | active | active |
| Stars | 7 | 372k |
| Forks | 2 | 77049 |
| Open issues | 1 | 7041 |
| License | — | MIT |
| Last commit | 2026-03-24T06:34:31Z | 2026-05-15T16:50:31Z |
| 7d growth | 0 | 3106 |
| MCP support | no | yes |
| Requires LLM | yes | yes |
| Platforms | server, messaging | server |
| Categories | autonomous, messaging | reference, self-hosted |
| Health score | 15/100 | 95/100 |
| Leaderboard rank | #53 | #1 |

## Key differences

- OpenClaw has 53161x more stars (372k vs 7), indicating significantly broader adoption.
- OpenClaw is growing faster with +3.1k stars this week vs +0 for Grip AI.
- Grip AI is written in Python while OpenClaw uses TypeScript, which may influence your choice depending on your stack.
- OpenClaw was updated today, while Grip AI's last commit was 52 days ago.
- OpenClaw has MCP (Model Context Protocol) support while Grip AI does not.
- Grip AI focuses on autonomous, messaging while OpenClaw targets reference, self-hosted.

## Descriptions

### Grip AI

Self-hostable Python platform marketed as a lightweight OpenClaw alternative with multi-channel routing and task orchestration.

### OpenClaw

The original. Self-hosted AI super-agent platform. Formerly Clawdbot, then Moltbot. The project that started it all.