Auto-GPT vs Ensemble Codes
Auto-GPT vs Ensemble Codes, compared side by side on 21 data points: what each one does, how big it is, what it has raised, the tech running each site, and what users report. We score both out of 100 on traction, team and visibility: Auto-GPT is on 53/100 and Ensemble Codes on 46/100.
Where each one leads
Auto-GPT
- our overall score: 53/100 against 46/100
- agent readiness: 66/100 against 31/100
- domain rating: 64/100 against 12/100
- funding raised: $12.0M against $1.5M
- LinkedIn following: 213 against 54
Ensemble Codes
- headcount: 4 against 2
At a glance
| Measure | Auto-GPT | Ensemble Codes |
|---|---|---|
| What it is | Open-source autonomous AI agent platform that automates complex digital workflows. | Building the trustless operating layer for AI agents and humans to work, transact, and scale together. |
| Category | Agentic AI, AI Agents, Open Source, Workflow Automation | Agentic AI, AI Agent, Decentralized Identity, Verifiable Execution |
| Sells toBusiness model | Open Source | B2B |
| Offering | Software | Platform |
| Founded | 2023 | 2023 |
| Headquarters | Not published | San Francisco, United States |
| Status | Active | Active |
Size, funding and growth
| Measure | Auto-GPT | Ensemble Codes |
|---|---|---|
| Employees | 2 | 4 |
| Total funding | $12.0M | $1.5M |
| Latest round | Seed | Pre-Seed |
| LinkedIn followers | 213 | 54 |
StartupHub scores
Our own 0-100 ratings. They measure company strength and site quality, not which product suits you.
| Measure | Auto-GPT | Ensemble Codes |
|---|---|---|
| StartupHub scoreOur 0-100 rating | 53/100 | 46/100 |
| Traction | 40/100 | 38/100 |
| Team | Not published | 70/100 |
| Community | 8/100 | Not published |
| Search visibility | 35/100 | 24/100 |
| Quality | 68/100 | 48/100 |
| Agent readinessHow well an AI agent can read and act on the site | C (66/100) | F (31/100) |
| Domain ratingLink authority, 0-100 | 64/100 | 12/100 |
Technology
Detected on each public site, so it reflects the marketing stack as well as the product.
| Measure | Auto-GPT | Ensemble Codes |
|---|---|---|
| Hosting | Vercel | Vercel |
| CDN | Vercel | Vercel |
| Frameworks | Next.js, Tailwind CSS | Next.js, Tailwind CSS |
| Analytics | Not detected | Google Analytics 4 |
| Open source | Yes | Yes |
| Self-hostable | Yes | No |
Product and pricing
| Measure | Auto-GPT | Ensemble Codes |
|---|---|---|
| Key features | Not published | Identity, Economy, Verification, Ensemble SDK, Agent Hub, Cross-chain payments |
Auto-GPT vs Ensemble Codes: common questions
Which is better, Auto-GPT or Ensemble Codes?
On our 0-100 score Auto-GPT rates higher (53/100 against 46/100). The score weights traction, team, visibility and profile completeness, so it reflects company strength rather than which product suits you. We compare the two on 21 data points above: read the rows that match what you are buying for.
How do Auto-GPT and Ensemble Codes compare on the numbers?
Auto-GPT leads on our overall score (53/100 against 46/100), agent readiness (66/100 against 31/100), domain rating (64/100 against 12/100), funding raised ($12.0M against $1.5M), LinkedIn following (213 against 54). Ensemble Codes leads on headcount (4 against 2).
Read the full Auto-GPT review and pricing or the Ensemble Codes review and pricing. You can also browse other Auto-GPT alternatives we track.