# AI Agents Stack (November 2024)

> Market map categorizing the AI agent ecosystem across nine architectural layers

This reference map catalogs roughly 60 key companies and open-source tools across the AI agent ecosystem as of late 2024. It organizes the landscape into distinct architectural layers, from foundational model serving and storage up to specialized vertical agents. It serves as a practical snapshot for identifying vendors and planning agent infrastructure.

## The framework

AI Agents Stack — November 2024

VERTICAL AGENTS: Decagon, SIERRA, replit, perplexity, Harvey, MultiOn, Cognition, FACTORY, All Hands, Dosu, Lindy, 11x

AGENT HOSTING & SERVING: Letta, LangGraph, Assistants API, Agents API, Amazon Bedrock Agents, LiveKit Agents

OBSERVABILITY: LangSmith, arize, weave, Langfuse, AgentOps.ai, braintrust

AGENT FRAMEWORKS: Letta, LangGraph, AutoGen, LlamaIndex, CrewAI, DSPy, phidata, Semantic Kernel, AutoGPT

MEMORY: MemGPT, zep, LangMem, mem0

TOOL LIBRARIES: composio, Browserbase, exa

SANDBOXES: E2B, Modal

MODEL SERVING: vLLM, ollama, LM Studio, SGL, together.ai, Fireworks AI, groq, OpenAI, Anthropic, Mistral AI, Gemini

STORAGE: Chroma, Qdrant, milvus, Pinecone, Weaviate, NEON, Supabase

## What it is for

- Identify suitable tools and vendors for specific layers of an AI agent project
- Compare architectural components when designing an autonomous agent system
- Track and benchmark industry changes across the AI tooling ecosystem

## Key points

- Vertical Agents layer covering end-user specialized applications (e.g., Harvey, Cognition, Sierra)
- Agent Hosting & Serving layer for deployment and orchestration runtimes
- Observability and evaluation tools for tracking agent execution and outputs
- Agent Frameworks layer comparing core development libraries (e.g., CrewAI, AutoGen, LangGraph)
- Memory layer highlighting persistent context solutions (e.g., Mem0, Zep, MemGPT)
- Supporting infrastructure layers including Tool Libraries, Code Sandboxes, Model Serving, and Storage

## Pricing

Free

## Details

- Type: Framework
- Category: [AI](https://xiry.app/topics/ai.md)
- Open source: no
- Platforms: other
- For: AI engineers, technical product managers, and founders building AI agents
- Tags: ai agents, market map, landscape, agent stack, frameworks, infrastructure

## Why it was saved

- [@adamsilverman, 13 December 2024](https://x.com/adamsilverman/status/1867690299004260792): A snapshot reference of the AI agents landscape in late 2024 — useful for finding vendors per layer or tracking how the stack evolves.

## Related

- [2025 AI Agent Market Map](https://xiry.app/resources/2025-ai-agent-market-map): A comprehensive directory categorising hundreds of AI agent startups and development tools. (Framework, Free)
- [AI Agents Directory](https://xiry.app/resources/ai-agents-directory): Curated directory and ecosystem landscape map of AI agents and frameworks (Website, Free)
- [AI Agents Weekly Roundup & Market Map (Oct 2024)](https://xiry.app/resources/ai-agents-weekly-roundup-and-market-map-oct-2024): Weekly snapshot and landscape market map of AI agent startups and frameworks (List, Free)
- [The State of the AI Agents Ecosystem \| Insight Partners](https://xiry.app/resources/the-state-of-the-ai-agents-ecosystem-insight-partners): Enterprise research report and market map detailing the emerging AI agent stack. (Website, Free)
- [Google Opal](https://xiry.app/resources/google-opal): No-code visual canvas for building AI mini-apps from plain English prompts (Web app, Free)
- [ai-engineering-hub](https://xiry.app/resources/ai-engineering-hub): Open-source tutorials and project templates for LLMs, RAG, and AI agents. (GitHub repo, Open source)

Updated 11 October 2026. Page: https://xiry.app/resources/ai-agents-stack-november-2024

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