The AI Operating System for Delphi. 100% native framework with RAG 2.0 for knowledge retrieval, autonomous agents with semantic memory, visual workflow orchestration, and universal LLM connector. Supports OpenAI, Claude, Gemini, Ollama, and more. Enterprise-grade AI for Delphi 10.3+
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.
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:
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
183,625
free-pascal
function-calling
gemini
grok
groq
lazarus
llm
mcp-client
mcp-server
mistral
ollama
openai
pascal
rag
workflow-orchestration
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
Native ChatTools — bridge AI reasoning with deterministic real-world capabilities (PDF, Vision, Speech, Web Search, Shell, Computer Use)
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.
🚀 What's New in v3.3
TAiCapabilities — Unified Model Configuration System
The biggest architectural change in v3.3 is the TAiCapabilities system, which replaces scattered per-provider flags with a unified, declarative model of what each model can do and what a session needs:
ModelCaps — what the model natively supports (e.g. [cap_Image, cap_Reasoning])
SessionCaps — what capabilities the current session requires
Gap analysis — when SessionCaps exceeds ModelCaps, MakerAI automatically activates bridges (tool-assisted OCR, vision bridges, etc.) without changing your code
ThinkingLevel — unified reasoning depth control (tlLow, tlMedium, tlHigh) across all providers that support extended thinking
TAiFileCheckpointer — persists agent graph state to disk; resume workflows after crashes or restarts
TAiWaitApprovalTool — suspends a node and waits for human approval before continuing
TAIAgentManager.OnSuspend event for building approval UIs
ResumeThread(ThreadID, NodeName, Input) to continue suspended workflows
RAG — Graph Document Management
New uMakerAi.RAG.Graph.Documents.pas — full document lifecycle management (ingest, chunk, embed, link) directly into the knowledge graph
Cross-Provider Reasoning Fixes
reasoning_content is now correctly preserved and re-sent in multi-turn tool call conversations for all providers that require it (DeepSeek-reasoner, Kimi k2.5, Groq reasoning models)
Other Additions
TAiEmbeddingsConnection — abstract connector for swappable embedding providers
Demo 012 — ChatWebList (chat with web-based content)
Bug Fixes (March 2026)
MCP concurrent tool calls — race condition (uMakerAi.MCPClient.Core.pas): When a model responded with two or more tools from the same MCP server in a single turn, ParseChat launched all tool calls as parallel TTasks. Since TMCPClientStdIo shares a single process/pipe per instance (no synchronization), concurrent calls corrupted the JSON-RPC communication, causing intermittent failures. Fixed by adding FCallLock: TCriticalSection to TMCPClientCustom — calls to the same server are now serialized while calls to different servers still run in parallel.
EAggregateException on tool errors — Claude driver (uMakerAi.Chat.Claude.pas): The local _CreateTask procedure in TAiClaudeChat.ParseChat lacked the try/except present in the base class. Any exception raised inside a tool task (MCP timeout, network error, etc.) escaped unhandled, causing TTask.WaitForAll to wrap it in an EAggregateException and crash the application. Fixed to match base class behavior: exceptions are caught, reported via OnError, and the tool receives an error response so the conversation can continue.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
