Cruvero - AI Agent Ecosystem Platform
A production-grade, Temporal-native AI agent orchestration platform in Go: durable multi-agent workflows, governance, MCP integration, and an operational UI.
9 posts tagged “go”
Go is my default for production systems that need predictable performance, simple deploys, and strong operational behavior.
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A production-grade, Temporal-native AI agent orchestration platform in Go: durable multi-agent workflows, governance, MCP integration, and an operational UI.
A production-first comparison of Go and Java Spring Boot for enterprise APIs, focused on real operational cost drivers: memory, startup, deployment surface area, and observability.
A production-first guide to running Model Context Protocol servers safely: threat modeling, input validation, budgets, rate limits, and telemetry, implemented with Go patterns.
Tracing decisions, tool calls, cost, and side effects across an agent system - without turning logs into a data leak.
Most agent demos assume perfect networks and short runs. Production agents need durable execution: retries, idempotency, replay, and human-in-the-loop - without losing state.
When MCP outgrows local stdio servers, you need a gateway: auth, tenancy, quotas, routing, audit, and safe tool contracts - without killing developer velocity.
Once you have dozens (or hundreds) of tools, 'just include all schemas' stops working. Here's a production-first playbook for tool discovery, ranking, and safe invocation.
Standards don't scale as documents. They scale as templates: a paved road for APIs with built-in reliability, security, and operability defaults.
Production-grade MCP servers in Go that expose iCloud, Todoist, and Notion as safe, typed tools for LLM agents.
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