AI Agent Infrastructure Stack

AI Agent Infrastructure Stack

Tech Stack

Agents

  • Showcases different types of AI agents, including:
  • General Agents (e.g., perplexity, Gradial)
  • Code Generation Agents (e.g., Astral, bolt, Devin)
  • Next-Gen Copilots (e.g., gleon, Canopy)
  • Agent Teammates
  • Agent Swarms

Tools

Tools as a Service

  • Discovery (e.g., Word of Mouth, LangGraph)
  • Search (e.g., sonar, MelliSearch)
  • Data Extraction (e.g., Browse AI, Parallel)
  • UI Automation (e.g., Browse User, UIlicious)
  • Payments (e.g., Open Commerce, Stripe)

Secure Tool Usage

  • Tools for secure management and operation (e.g., Composio, ARCADe)

Auth

  • Tools for authentication and authorization (e.g., autho, Okta)

Sandbox

  • Environments for securely running and testing agents (e.g., E2B, Modal)

Data

  • Covers the data management and processing tools required by AI agents:

Memory

  • For the short-term memory of agents (e.g., cognemo, Weaviate)

Storage

  • For persistent data storage (e.g., NEON, supabase)

ETL (Extract, Transform, Load)

  • Tools for data integration and transformation (e.g., Llamaindex, Reducto)

Orchestration

  • Focuses on how to manage and coordinate multiple agents and tasks:

Persistence

  • For storing the long-term state and history of agents (e.g., Inngest, Temporal)

Agent Routing

  • For assigning tasks to the appropriate agents (e.g., LangGraph, LlamaVerse)

Model Routing

  • For selecting the appropriate model to perform a task (e.g., martian, Arcee)

Platform

  • Covers the underlying infrastructure and support services:

PaaS/BaaS (Platform/Backend as a Service)

  • Platforms for application deployment and management (e.g., Railway, Render)

Logging

  • Tools for logging and monitoring the operation of agents (e.g., Grafana Labs, RAYGUN)

Evaluation

  • Frameworks and tools for evaluating agent performance (e.g., AgentOps, LangSmith)

Multi Agent Frameworks

  • Frameworks for building complex multi-agent systems (e.g., swarms.ai, Autogen)

Control Flow

  • Tools for defining the execution flow of agents (e.g., Boundary, Gen3)

Foundation Model Infrastructure

  • The foundation for building AI agents is powerful language models and related infrastructure (e.g., MODELS, HUCON).