Quick comparison
Side-by-side feature snapshot. Scroll down for the full comparison table and narrative.
ChatGPT in 2025–2026
ChatGPT is not passive Q&A
Agent Mode launched July 17, 2025 — autonomous multi-step task execution with web browsing, code execution, and file operations. Scheduled Tasks arrived January 2025 for recurring prompts. The computer-using agent (CUA) adds visual browser control for web-based workflows. Projects provide shared persistent context across conversations. Pulse (Pro plan) delivers daily research briefings. Dual-mode memory — background auto-extraction plus manual pins — and 50+ connectors including Gmail, GitHub, Google Drive, and Notion make this a substantial autonomous platform.
Memory: dual-mode vs. inspectable files
ChatGPT's memory works in two modes: background auto-extraction where the model decides what's worth remembering, plus manual memory pins you add yourself. You can view and delete stored memories, but the extraction logic is opaque — you don't see the raw files or control the process. Critically, switching between different model versions can affect memory state.
Hermes stores all memory as plain markdown files on your filesystem. You can open them in any editor, modify them, version-control them with git, and they persist regardless of which model backend you use. Eight optional external memory providers (vector databases, graph stores) are available for more advanced retrieval patterns.
Scheduled tasks: cloud vs. self-hosted execution
ChatGPT Scheduled Tasks run on OpenAI's servers in a sandboxed environment. They can call web APIs and trigger connected services, but they cannot touch your internal databases, local network resources, private code repositories, or any system behind your firewall. Hermes scheduled tasks run on your server with full shell access: local PostgreSQL, Redis, private Git repos, internal APIs, network hardware — anything reachable from your machine is in scope.
For tasks that only need public web access, ChatGPT's scheduling is convenient. For tasks that need to touch private infrastructure, there is no substitution.
Computer use (CUA) vs. shell access
ChatGPT's CUA is genuinely impressive for visual web tasks: filling forms, navigating GUIs, scraping dynamic pages, operating cloud dashboards. It controls a hosted browser and sees screenshots. Hermes shell access is better for server-side automation: running scripts, managing files, querying databases, calling CLIs, deploying code. These are complementary tools for different jobs — CUA for the visual web layer, shell for the server layer.
The data question
Every message, file, and tool result you send to ChatGPT transits OpenAI's servers. For personal productivity tasks, this is a non-issue. For proprietary source code, regulated personal data (HIPAA, GDPR), credentials, financial data, or workflows that by policy must stay on-premises, it is a hard boundary. Hermes runs entirely on your hardware — network calls only leave your server when you explicitly call an external API. Your data residency and retention are entirely in your control.
Full comparison table
| Feature | ChatGPT | Hermes |
|---|---|---|
| Persistent memory | ✓ Dual-mode (auto + manual) | ✓ Layered, permanent |
| Memory inspectability | View/delete — opaque process | ✓ Editable markdown files |
| Scheduled tasks | ✓ Since January 2025 | ✓ Self-hosted, always-on |
| Agent Mode | ✓ Since July 17 2025 | ✓ Always on |
| Computer use (CUA) | ✓ Visual browser agent | Via shell tools |
| Shell / code execution | Sandboxed | ✓ Full shell, your server |
| Service connectors | ✓ 50+ (Gmail, GitHub, Drive…) | Via agent tool use |
| Self-hosted | No (OpenAI infra) | ✓ Yes |
| Data sovereignty | No (OpenAI servers) | ✓ Your hardware |
| Provider-agnostic | No (OpenAI models only) | ✓ Yes, any model |
| Open source | No | ✓ MIT license |
| Mobile access | ✓ ChatGPT app | ✓ Messaging apps |
| Projects | ✓ Shared context across chats | N/A |
| Always-on | ✓ Managed cloud | ✓ Permanent server process |
Who should use which
- Data sovereignty — proprietary code, regulated data, or on-premises requirements
- Full shell access — tasks that must touch private servers, local DBs, or internal APIs
- Self-hosted scheduling — any interval, any trigger, no cloud dependency
- Provider flexibility — swap OpenAI, Anthropic, Google, DeepSeek, or local models freely
- Permanent non-expiring memory — persists across model switches and plan changes
- Open source — MIT license, full auditability and extensibility
- No subscription for core features — not gated behind Pro or Plus tiers
- Best polished AI UX — zero server setup, best-in-class interface
- CUA for visual browser tasks — form filling, GUI navigation, dynamic scraping
- 50+ managed connectors — Gmail, GitHub, Drive, Notion maintained by OpenAI
- Pulse briefings — daily research summaries on Pro plan
- Projects — shared persistent context and organized conversation history
- OpenAI model priority — first access to GPT-5.4 and future model releases
Ready to run your own agent?
Hermes is open source, MIT licensed, and runs on hardware you own.