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The modular framework for agentic AI

A composable, platform-agnostic architecture designed for the rapid deployment of autonomous agents. Maintain total control of your stack without vendor lock-in.

agent_init.py
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The digithings execution flow

digisearch
Data RAG

Advanced Retrieval-Augmented Generation and document search capabilities, utilizing Polars for massive-scale data processing without the overhead of pandas.

digigraph
Orchestrator

The core orchestration engine. Leverages LangGraph with a layered supervisor and sub-graph pattern to manage complex multi-agent workflows reliably.

digiquant
Execution Engine

Quantitative strategy engine powered by NautilusTrader. Built in Rust for ultra-low latency backtesting, optimization, and live execution.

digiclaw
Secure Runtime

The autonomous runtime environment. Executes agents under strict security protocols with full loopback-only safety and least-privilege configurations.

Platform agnostic

By standardizing tool discovery via the Model Context Protocol (MCP) and leveraging LiteLLM, the framework interfaces securely with over 100 language models and infinite external services.

Enterprise governance

Architected for stringent security paradigms. All agents operate under strict isolation, local-first runtime control, and deterministic human-in-the-loop gating.

Custom implementations

We provide specialized consulting to architect and integrate multi-agent orchestrations directly into your existing infrastructure.

Open core

Built on the principles of open-source transparency. Ensure your agents run smoothly on self-hosted infrastructure or extending our managed cloud.