Build AI agents that can know, reason and act.
Connect LLMs, tools, APIs, documents, vector databases and MCP servers into one controlled AI orchestration layer.
Connect
Bring your LLMs, tools, documents, APIs and data sources into MonoChat.
Ground
Use knowledge bases, RAG pipelines and VectorDBs to keep AI answers relevant.
Act
Let AI trigger functions, workflows, API calls and real business actions safely.
Control
Manage model behavior, permissions, logs, guardrails and orchestration logic.
Connect
Bring your LLMs, tools, documents, APIs and data sources into MonoChat.
Ground
Use knowledge bases, RAG pipelines and VectorDBs to keep AI answers relevant.
Act
Let AI trigger functions, workflows, API calls and real business actions safely.
Control
Manage model behavior, permissions, logs, guardrails and orchestration logic.
AI Orchestration Features
The control layer for building production-ready AI assistants, agents and automated business actions.
Custom LLMs
Connect OpenAI, Anthropic, Google or your own LLM APIs and control which models power each assistant.
AI Function Tools
Let AI safely call tools, APIs and business actions with structured inputs, validations and logs.
RAG Orchestration
Build retrieval pipelines with documents, knowledge, vector databases, tools and LLMs.
VectorDB Integration
Store and retrieve embeddings using MonoChat’s built-in vector database or your preferred provider.
MCP Integration
Connect AI agents to external MCP-compatible tools, systems and data sources.
AI control layer
More than prompts. Real business actions.
MonoChat lets AI assistants retrieve knowledge, call tools, trigger workflows and connect to business systems with clear control and visibility.
Build AI Agents That Actually Work.
Connect LLMs, tools, knowledge and business systems with MonoChat’s AI orchestration layer.