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Guide2 min read

How to Give Your AI Agent Email, Memory and a Sandbox

Six building blocks that turn a chat model into an agent that can work on its own: an inbox, memory, a safe place to run code, app access, background jobs and tracing.

By agentools

  • AgentMail: giving each agent its own real email inbox.
  • Mem0: remembering preferences and past conversations across sessions.
  • E2B: running code and tools in isolated cloud machines.
  • Composio: connecting an agent to 1,500+ apps with OAuth handled.
  • Trigger.dev: long-running jobs and agents that survive restarts.
  • Langfuse: seeing every step your agent took, and why.

A model that only chats forgets everything, can't receive a reply, and can't run anything safely. To hand it real work you need a few pieces around it. Here are the six I'd add first, in the order most solo founders need them, each one in the agentools directory with a free way to start.

At a glance

ToolBest forPricingType
AgentMailgiving each agent its own real email inbox.Free tierAPI
Mem0remembering preferences and past conversations across sessions.Free tierAPI + SDK
E2Brunning code and tools in isolated cloud machines.Free tierSDK + cloud
Composioconnecting an agent to 1,500+ apps with OAuth handled.Free tierAgent platform
Trigger.devlong-running jobs and agents that survive restarts.Free tierPlatform + SDK
Langfuseseeing every step your agent took, and why.Open sourceObservability platform

The 6 picks

1. AgentMail

Email inboxes for AI agents, via API

AgentMail lets an agent create inboxes, send, receive and search email through a REST API, SDKs or MCP, with threads, attachments, realtime events and custom domains. It's what lets an agent follow up with a lead and actually read the reply.

Free for 3 inboxes and 3,000 emails a month; Developer is $20 a month.

Pricing: Free tierAPI

2. Mem0

Long-term memory layer for AI agents

Mem0 stores and retrieves user and agent memories, so your assistant remembers that you prefer short replies or what a customer asked last month. Use the API, the open-source core or its hosted MCP server.

The free Hobby plan covers 10,000 adds and 1,000 retrievals a month.

Pricing: Free tierAPI + SDK

3. E2B

Secure cloud sandboxes for AI agents

E2B spins up sandboxes where an agent can run code, use tools and browse without touching your machine. You can pause, resume and fork them, and you pay per second of CPU and RAM.

The Hobby plan starts with a one-time $100 usage credit.

Pricing: Free tierSDK + cloud

4. Composio

Tool calls and auth for agents, 1,500+ apps

Composio lets an agent discover, authenticate and call tools across 1,500+ apps at runtime, with managed OAuth, triggers for app events and an MCP URL per session. It saves you building and maintaining integrations one by one.

The Hobby plan includes 100,000 tool calls a month.

Pricing: Free tierAgent platform

5. Trigger.dev

Durable background jobs and agents in TS

Trigger.dev runs long-lived TypeScript tasks and agents with retries, queues, schedules and realtime status, without you managing workers. It's how a nightly research run or a multi-hour import finishes even when something fails halfway.

Free with $5 a month of usage; self-hosting is free too.

Pricing: Free tierPlatform + SDK

6. Langfuse

Open-source tracing and evals for agents

Langfuse traces every LLM call and agent step, then lets you score, evaluate and debug them with datasets and prompt management. When an agent does something strange at 3am, this is where you find out what it saw.

Self-hosting is free; Langfuse Cloud has a free Hobby tier.

Pricing: Open sourceObservability platform

More to consider

What to add first

  1. AgentMail, if the agent talks to people outside your team.
  2. Mem0, as soon as it runs more than once for the same person.
  3. E2B before you let it execute code it wrote.
  4. Composio when it needs your apps, Trigger.dev when jobs run longer than a request.
  5. Langfuse from day one if you can: it's cheapest to trace before things go wrong.

Wrapping up

None of these lock you in: most have open-source cores or plain APIs, and all six are in the directory with install commands. Or grab them together as a stack in The solo founder's agent stack.