Agent infrastructure covers the layer that makes agents production-ready: deployment, hosting, sandboxed execution, tool integration, and scaling. If frameworks are the engine, this is the drivetrain.
Project-local config manager that syncs one `agent.json` manifest into Claude Code, Codex, Cursor, and MCP setup while preserving manual edits and detecting drift.
Framework for building and deploying production-ready AI agents with composable node architecture.
Managed AWS infrastructure for Bedrock-based agents with compliance, scaling, and monitoring built in.
Serverless function runtime with Firecracker isolation for executing short-lived agent tasks at scale.
Bash CLI for switching OpenAI Codex CLI and Desktop profiles with isolated CODEX_HOME directories.
Extracts structured data from web pages using LLM-friendly output formats optimized for agent ingestion.
Lightweight microVM technology with 125ms boot time used by AWS Lambda and E2B under the hood.
User-space kernel that intercepts syscalls to provide VM-level security with container-level overhead.
Browser automation engine optimized for production AI pipelines.
One-click deploy from GitHub with persistent volumes and databases for stateful agent deployments.
AgentIndexed currently lists 10 infrastructure & tooling, including Agent Starter, AgentDock, AWS Bedrock AgentCore, AWS Lambda and more. Featured placements appear first, then all tools alphabetically.
Prioritize sandboxing and isolation for code-executing agents Check cold-start times and scaling behavior for bursty loads Verify observability hooks integrate with your existing stack.
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