XAIHT/Tlamatini

The local-first AI developer assistant with a visual workflow designer — and the reach to touch hardware, 3D engines, and any external tool.
"one who knows" — she doesn't just edit code. She flashes your board, drives your engine, and orchestrates whole agent workflows on a canvas. On your machine.
⚠️ Ollama Pro or higher is required for the complete Tlamatini experience.
Tlamatini is free and open-source ; an Ollama subscription is purchased directly from Ollama. We are not sponsored by, affiliated with, or paid by Ollama . Tlamatini was engineered around Ollama's cloud-model interface, capacity, and tool-calling characteristics, so at least the Pro plan is part of the intended system requirements—not a promotion.
🌐 Website ·
▶️ One-minute teaser ·
📖 Full docs ·
💬 Discord
💬 Join the Tlamatini community on Discord — get help, show what you build, report bugs, and shape the roadmap.
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Table of contents
1. What is Tlamatini
2. How it works
3. Get started in five steps
4. Speak a prompt from the chat
5. Drop a message from the chat
6. Drop a file on any page
7. Compact mode — fit every request to your model
8. Self-modify — her self-knowledge, on or off
9. Model Brain — every model tuned for you
10. About → Usage
11. Newest changes
12. Current version
13. The full capability list
14. Enable Tlamatini as a Blue-hat agent
15. Installation
16. Tech stack
17. Avatar animation, assets, and visible tests
18. Contributing
19. License
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What is Tlamatini
Tlamatini is a **local-first AI development and automation environment** for Windows. It combines a conversational assistant, whole-project code operations, **in-canvas PDF reading with whole-document context**, a visual workflow designer, **89 specialized agent types**, **109 built-in Multi-Turn tools**, hardware and firmware control, Unreal Engine and Blender automation, security tooling, and a universal External-MCP client in one application.
“Local-first” describes **where control lives**: the application, workflow canvas, database, configuration, credentials, agent code, project access, and small embedding model run under your control on your machine. It does **not** mean that Tlamatini was designed as a local-model-only assistant. Its complete reasoning and orchestration experience was designed and coded primarily around the larger **cloud models exposed through Ollama**.
How it works
Tlamatini has three cooperating layers:
1. **Local control plane** — the Django application, chat interface, SQLite database, visual workflow designer, agent programs, permissions, files, tools, and hardware connections remain on your computer.
2. **Local retrieval** — nomic-embed-text builds embeddings locally so Tlamatini can retrieve relevant project context efficiently.
3. **Ollama cloud reasoning** — configured :cloud models perform the demanding chat, tool-calling, coding, long-context, vision, planning, and Multi-Turn reasoning that coordinates Tlamatini's agents. Ollama keeps the same local API experience while offloading these larger models to its cloud service.
> [!IMPORTANT]
> **To use Tlamatini with its complete intended functionality, an active Ollama Pro plan—or a higher Ollama plan such as Max—is mandatory.** A free Ollama account or local-only model may be enough to launch the application or experiment with limited requests, but it is **not the supported baseline for Tlamatini's full workloads**. Multi-Turn orchestration, long agent runs, parallel vision calls, repeated tool decisions, and large project contexts can consume cloud usage and concurrency rapidly. Tlamatini therefore treats **Pro as the minimum system tier**.
> [!NOTE]
> **This is an independent technical recommendation, not an advertisement.** XAIHT/Tlamatini is not sponsored, endorsed, funded, or compensated by Ollama, and receives no referral fee or commission. Your Ollama subscription is a separate purchase made directly from Ollama. We specify Pro only because Tlamatini's architecture was built around Ollama cloud models and needs their practical capacity to operate as designed.
Ollama currently advertises Pro at **$20/month or $200/year**, with greater cloud usage and concurrency than the free account; Max also satisfies Tlamatini's requirement. Pricing and limits belong to Ollama and may change, so verify them on Ollama's official site before subscribing. Ollama's official cloud documentation explains that cloud models are offloaded to Ollama's service while remaining accessible through the familiar local Ollama API: Ollama cloud-model documentation.
🚀 Get Started — 5 steps to a cloud-powered Tlamatini
**Tlamatini itself is free**, but a complete installation assumes **Ollama Pro or higher** as an operating requirement. Subscribe directly with Ollama, sign in through the Ollama CLI, and Tlamatini can coordinate **89 agent types and 109 built-in Multi-Turn tools** from your machine using the cloud-model capacity around which it was designed. XAIHT receives no payment or benefit from that subscription.