Tool Stack
Agent Architecture Stack
The minimum tooling to design, run and observe a production agent.
1 min readupdated 2026-08-01
/ quick answer
Build agents with explicit state, typed tools, persistent memory and full tracing from day one. The minimum tooling to design, run and observe a production agent.
The minimum tooling to design, run and observe a production agent. Build agents with explicit state, typed tools, persistent memory and full tracing from day one. The stack combines Claude or GPT-5 (reasoning model), AI SDK or LangGraph (agent loop), MCP (tool interface), Postgres + pgvector (memory), Langfuse (tracing and evals). This tool stack node is part of the Onexial knowledge graph and links to related concepts, workflows and tools below.
Purpose
Build agents with explicit state, typed tools, persistent memory and full tracing from day one.
Tools Included
- Claude or GPT-5 (reasoning model)
- AI SDK or LangGraph (agent loop)
- MCP (tool interface)
- Postgres + pgvector (memory)
- Langfuse (tracing and evals)
- Lovable (ship the UI around it)
Workflow Supported
Alternatives
- CrewAI
- OpenAI Agents SDK
- Mastra
Use Cases
/ frequently asked
What is the Agent Architecture Stack stack for?
Build agents with explicit state, typed tools, persistent memory and full tracing from day one.
Which tools are in this stack?
Claude or GPT-5 (reasoning model), AI SDK or LangGraph (agent loop), MCP (tool interface), Postgres + pgvector (memory), Langfuse (tracing and evals), Lovable (ship the UI around it).
Are there alternatives to this stack?
Yes — CrewAI, OpenAI Agents SDK, Mastra.
/ tools we use for this
Some links support Onexial at no extra cost to you.
↳ connected nodes
Workflow↳ linked
Design an Agent Architecture Before Writing Code
A one-page design process that prevents the most expensive agent rebuilds.
Workflow↳ linked
Cut Agent Costs by 60% Without Losing Quality
A measurable cost-reduction pass for any agent already in production.
Use Case↳ linked
SaaS Cuts First-Response Time from 6h to 4min with an Agent
A 12-person SaaS shipped a tier-1 support agent and kept humans on exceptions only.
Dictionary↳ linked
Agent Architecture
Agent architecture is the structural blueprint of an AI agent: the model, the planning loop, the tools, the memory layer and the guardrails that decide how it acts.
Dictionary↳ linked
Agent Planning (ReAct, Plan-and-Execute)
Agent planning is how an AI agent decides its next step — reactively step-by-step (ReAct) or by drafting a full plan up front (plan-and-execute).
Dictionary↳ linked
Agent Cost Control
Agent cost control is the practice of budgeting tokens, steps and model tiers per task so autonomous systems stay economically viable at scale.
Comparison↳ linked
Single Agent vs Multi-Agent System
One well-equipped agent beats a crowd for most jobs; multi-agent wins on genuinely separable, parallel work.
Comparison↳ linked
LangGraph vs CrewAI vs AI SDK for Agents
LangGraph for stateful control, CrewAI for fast role-based teams, AI SDK for shipping agents inside a product.
Prompt↳ linked
Agent Architecture Spec Prompt
Turns a fuzzy agent idea into a reviewable five-layer architecture spec.