AI Agent Technologies We Use
We pick the right framework for every project. Whether your agent needs workflow automation, conversational AI, or multi-step reasoning, we build it on the technology that fits best and manage it for you.
We build, deploy, and manage your AI agent. You focus on your business.
n8n
We design, deploy, and manage n8n workflow automations with 800+ integrations so your business runs on autopilot. You tell us what you need....
Learn moreOpenClaw
We deploy OpenClaw in hardened, network-isolated environments as the engine for employee-facing AI assistants. 14+ LLM providers, 10,700+ ve...
Learn moreNanoClaw
NanoClaw runs each AI agent in its own Docker container, preventing cross-tenant data leakage and limiting blast radius if anything goes wro...
Learn moreDify
We use Dify to build knowledge base agents that answer from your actual documents with source citations. Visual workflows, built-in observab...
Learn moreFlowise
We use Flowise to rapidly prototype AI chatbots, build RAG-powered assistants with visual flows, and embed them on your website with custom ...
Learn moreActivepieces
We use Activepieces as your open-source Zapier replacement with AI reasoning built in. 450+ integrations, MCP support for 400+ tool servers,...
Learn moreLangChain
We use LangChain, the most widely adopted LLM framework (131K GitHub stars, 223M monthly downloads), to build agents that search your docume...
Learn moreLangGraph
We use LangGraph to build agent workflows that persist state, branch on conditions, checkpoint progress, and resume after failures. Used in ...
Learn moreCrewAI
We use CrewAI to build teams of specialized AI agents that work together like a real team. Each agent has a role, tools, and expertise. Toge...
Learn moreOpenAI Agents SDK
We use the OpenAI Agents SDK to build lightweight multi-agent systems with specialized handoffs, parallel guardrails, and built-in tracing. ...
Learn moreGoogle ADK
We use Google ADK to build agents that automate Gmail, Calendar, Sheets, and Drive with Gemini AI. Multi-agent orchestration with 100+ pre-b...
Learn morePydantic AI
We use Pydantic AI to build agents that produce structured, validated data every time. Built by the creators of Pydantic (200M+ monthly down...
Learn moreSmolAgents
We use Hugging Face SmolAgents to build agents that write and execute code to process your data, run analyses, and produce structured result...
Learn moreMastra
We use Mastra to build AI agents in TypeScript with graph-based workflows, RAG with auto-syncing, short and long-term memory, and model rout...
Learn moreComposio
We use Composio to give your agents secure, authenticated access to Salesforce, Slack, Google Workspace, HubSpot, and 250+ more tools. Manag...
Learn moreAutoGen
AutoGen was placed in maintenance mode by Microsoft in October 2025, with no new features planned. We maintain existing AutoGen agents, fix ...
Learn moreLlamaIndex
We use LlamaIndex to build agents that parse complex documents (tables, images, handwritten notes), index them with advanced retrieval, and ...
Learn moreMetaGPT
We use MetaGPT to rapidly generate prototypes, MVPs, and data analyses using its multi-agent SOP workflow. MetaGPT is a prototyping accelera...
Learn moreDSPy
We use DSPy from Stanford NLP to replace manual prompt engineering with data-driven optimization. DSPy is not a standalone agent framework. ...
Learn moreClaude Agent SDK
We use the Claude Agent SDK to build agents with multi-step reasoning, subagent delegation, 10,000+ MCP tool servers, automatic context comp...
Learn moreNot sure which technology fits your use case?
Tell us what you need automated. We will recommend the right framework and build your agent from start to finish.
We build, deploy, and manage your AI agent. You focus on your business.