Agentic AI for operations, sales, support, research, and on-chain workflows
AI Agents
Build AI agents that plan, use tools, retrieve knowledge, and take action inside your products and operations — voice, browser, code, support, sales, research, and on-chain.
Agentic AI is moving from demos to production. OQTACORE designs agents that integrate with real systems, follow business rules, escalate to humans when needed, and produce measurable outcomes.
This chapter covers agent frameworks (LangGraph, CrewAI, AutoGen, Mastra), Model Context Protocol (MCP) integrations, voice agents (LiveKit, Vapi, Retell), browser and computer-use agents, coding agents, vertical agents, and on-chain agents.
The ai agents services we ship
Each link opens a focused page with scope, deliverables, tech stack, outcomes, and answers to the questions most teams ask before kicking off.
AI Agent Development
Plan, build, and deploy AI agents that take action across your tools, data, and workflows.
Multi-Agent System Development
Coordinated agent teams with planning, delegation, memory, and supervision for complex tasks.
Autonomous AI Agents
Long-running agents that plan, retry, recover, and execute multi-step business workflows with minimal human oversight.
Voice AI Agents
Real-time voice agents for sales, support, scheduling, and operations using LiveKit, Vapi, Retell, and custom stacks.
Coding AI Agents
Software engineering agents that read code, plan changes, run tests, and ship pull requests inside your repos.
Browser-Use AI Agents
Agents that operate web browsers and desktop software to automate workflows that have no API.
Computer-Use AI Agents
Desktop and OS-level agents using Claude Computer Use, OpenAI Operator, and equivalent runtimes.
Customer Support AI Agents
Tier-1 deflection, ticket triage, knowledge-grounded answers, and human handoff inside Zendesk, Intercom, and Salesforce.
Sales AI Agents (SDR)
Outbound research, personalized outreach, qualification, and meeting booking driven by AI agents.
Recruiting AI Agents
Sourcing, outreach, screening, and scheduling agents integrated with your ATS.
Deep Research AI Agents
Long-horizon research agents that synthesize sources, validate claims, and produce structured reports.
On-Chain AI Agents
Agents that hold wallets, execute on-chain actions, and operate inside Web3 protocols using frameworks like Eliza.
MCP (Model Context Protocol) Integration
Build and integrate Model Context Protocol servers and clients so agents can use your data and tools securely.
AI Agent Orchestration
Production orchestration with LangGraph, CrewAI, AutoGen, Mastra, and custom runtimes.
RAG Development
Retrieval-augmented generation systems with hybrid search, chunking, evaluation, observability, and access control.
LLM Integration
Integrate OpenAI, Anthropic, Google, open-source, and self-hosted models into existing products.
Generative AI Development
LLM-powered features and products with prompts, tools, retrieval, evaluation, and guardrails.
AI Chatbot Development
Knowledge-grounded chatbots for support, sales, onboarding, and internal operations.
Agentic Workflow Automation
Replace fragile RPA and Zapier-style flows with AI agents that handle exceptions and adapt to context.
Articles connected to ai agents
These blog resources answer recurring implementation and strategy questions teams ask before starting delivery.
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