Key points at a glance
- Talkie is cloud, closed-source, and focused on entertainment roleplay; Enclave is open-source and self-hostable, with data kept only on your machine.
- Enclave's structured long-term memory can be managed entry by entry, so characters still remember you months later.
- Enclave is more than chat: multiple experts, proactive follow-ups, and even producing PPT / Word / Excel.
Side-by-side comparison
| Dimension | Enclave | Talkie |
|---|---|---|
| Product positioning | A private assistant world that remembers you and proactively gets things done for you | Character chat centered on entertainment and card collection |
| Open source & self-hosting | MIT open-source, self-hostable with one line of docker compose | Closed-source, cloud-hosted only |
| Long-term memory | Structured long-term memory; view / edit / delete each entry | Mainly session context; limited memory across sessions |
| Proactivity | Experts proactively remind and message you — measured, never spammy | Mostly passive replies |
| Data control | When self-hosted, stored only locally; export / delete supported | Data stored in the platform's cloud |
| Scope of capabilities | Multiple experts, real document output, getting real things done | Focused on character dialogue and entertainment |
How to choose
If you want cloud-based, instantly playable, content-rich entertainment character chat, Talkie gets you going fast; if you want an open-source world where your data is yours, characters remember you long-term, and they proactively help you get things done, Enclave fits better.
FAQ
Does Enclave's AI really have long-term memory?
Yes. Enclave uses a structured long-term memory system rather than a simple context window, so experts can still cite specific things you said months ago — not a vague "I think you mentioned that." Every memory is yours to view, edit, or delete at any time.Is my conversation data safe? Will it be used for training?
In self-hosted mode, your conversations live only on your own drive — they never leave your machine and are never used by any third party for training. The model layer can connect to cloud APIs like OpenAI and Anthropic, or be swapped for local Ollama / vLLM to run fully offline; you decide which kind of conversation goes to which model.Can I self-host Enclave? Is it hard?
Yes, and it's about as hard as running an ordinary web service. If you've used docker compose, three steps get you your own instance: clone the repo, copy .env, and docker compose up. The API, frontend, database, and vector index all run on your own machine.
Ready to try it?
Open it in your browser — no credit card, no install.