Prompt

What framework should I use for agents with memory and tools?

Artificial Intelligence / AI Agents1 observationLast seen Oct 9, 2026

Latest observation

Oct 9, 2026OpenAI APIWeb search: off

If you want to build agents with memory and tools, the best framework depends on how much control you want versus how much built-in orchestration you need.

Good options

1. LangGraph

  • Best for: robust agent workflows, memory, tool use, multi-step reasoning
  • Why: It gives you a graph/state-machine approach, which is much better than a simple “loop agent” for reliable behavior
  • Use it if: you want production-grade agents with explicit control over state, retries, branching, and long-running memory

2. LangChain

  • Best for: quick prototyping and lots of integrations
  • Why: Huge ecosystem of tools, retrievers, memory abstractions, and agent patterns
  • Use it if: you want to get something working fast, and don’t mind some complexity or abstraction overhead

3. LlamaIndex

  • Best for: RAG-heavy agents and knowledge access
  • Why: Very strong for retrieval, indexing, and connecting agents to external knowledge sources
  • Use it if: memory is mostly about document/knowledge retrieval, not just conversation state

4. Microsoft AutoGen

  • Best for: multi-agent collaboration
  • Why: Good if you want multiple specialized agents talking to each other
  • Use it if: your use case is orchestration between agents, not just one agent with tools

My recommendation

  • Single agent with tools + memory: LangGraph
  • Knowledge-intensive agent: LangGraph + LlamaIndex
  • Multi-agent system: AutoGen or LangGraph
  • Fastest path to a demo: LangChain

Practical note on “memory”

There are usually two kinds:

  • Short-term memory: conversation state, scratchpad, working context
  • Long-term memory: saved facts, user preferences, documents, embeddings

Framework choice matters, but a lot of “memory” is really something you design yourself:

  • store state in a DB
  • save summaries
  • use vector search for retrieval
  • keep explicit agent state

Bottom line

If you’re starting today and want something reliable and scalable, I’d choose:

LangGraph + a vector store + optional LlamaIndex for retrieval

If you want, I can also give you a decision table based on your use case, or recommend a stack for Python vs TypeScript.

Observation history

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