MakerAI Suite v3.8 — The AI Ecosystem for Delphi

🌐 Official Website: https://makerai.cimamaker.com 📖 Manual: https://www.gustavoenriquez.com/book-makerai — available in English and Spanish

Free Pascal / Lazarus port available — Full port of MakerAI Suite for FPC 3.2+ (12 LLM drivers, RAG, Agents, MCP, Embeddings). See the fpc branch.

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MakerAI is more than an API wrapper

Most AI libraries for Delphi stop at wrapping REST calls. MakerAI is different.

Yes, MakerAI includes native, provider-specific components that give you direct, full-fidelity access to each provider's API — every model parameter, every response field, every streaming event, exactly as the provider defines it.

But on top of that, MakerAI is a complete AI application ecosystem that lets you build production-grade intelligent systems entirely in Delphi:

• RAG pipelines (vector and graph-based) with SQL-like query languages (VQL / GQL)
• Autonomous Agents with graph orchestration, checkpoints, and human-in-the-loop approval
• MCP Servers and Clients — expose or consume tools using the Model Context Protocol (dual-era: stateless spec 2026-07-28 + legacy handshake)
• Native ChatTools — bridge AI reasoning with deterministic real-world capabilities (PDF, Vision, Speech, Web Search, Shell, Computer Use)
• Skills — reusable instructions in the SKILL.md format (Agent Skills / PPM), loaded on demand by the model
• A2A — expose your agent graphs to other agents and call remote ones (Agent-to-Agent protocol 1.0)
• Production controls — tool-call guardrails, evals, OpenTelemetry tracing, persistent memory, and calibrated decisions with Jev
• FMX Visual Components — drop-in UI for multimodal chat interfaces
• Universal Connector — switch providers at runtime without changing your application code

Whether you need a simple one-provider integration or a multi-agent, multi-provider, retrieval-augmented production system, MakerAI covers the full stack — natively in Delphi.

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🚀 What's New in v3.9

OpenAI GPT-Live — full-duplex voice with delegation

TAiOpenAiLiveChat (gpt-live-1, DriverName OpenAiLive) listens while it speaks: you can interrupt it, and it hands the heavy thinking to another model — a Responses model run by OpenAI (web search, your TAiFunctions and MCP tools executed locally) or any TAiChatConnection through DelegateChat (Claude, Ollama, an agent graph). Conversation turns are rebuilt from the session timeline, so overlapping speech no longer splits answers. Demo 092-GPTLiveVoice: microphone, speaker, local functions, RAG over MCP with a read-only guardrail, anti-echo speaker mode and a quick guide. Tested live.

Jev decisions on local models (Ollama)

Ollama 0.35+ serves the Jev contract at /v1/systemone with local decision models — nimble, tev1 and Cloudflare's clef/clef-flash. TAiJev only needs Url := 'http://localhost:11434/v1/'; the eight Jev adapters gained Url, TAiJev.Ask takes images for Clef (PNG/JPEG/WebP), and the TypeSafe price is no longer charged on other servers. Tested with nimble (routing, prompt guard, batch labeling) and clef 27B on images.