Both platforms give AI agents email addresses. But AIThreads handles the conversation—auto-replies, escalates to humans, and learns from your knowledge base. AgentMail gives you pipes.
Teams who want emails handled automatically—AI responds, escalates frustrated customers, and uses your docs to answer questions. You step in when you want to.
Developers who want raw email infrastructure and will build all the AI logic themselves. Good if you need websockets or very custom workflows.
A detailed breakdown of what each platform offers.
| Feature | AIThreads | AgentMail |
|---|---|---|
| AI-Native Features | ||
| AI Auto-Reply | ✓ Built-in, configurable | ✗ Build yourself |
| Knowledge Base (RAG) | ✓ Upload docs, AI uses them | ✗ Not available |
| Smart Escalation | ✓ Detects frustration | ✗ Build yourself |
| Sentiment Analysis | ✓ Native | ✗ Build yourself |
| Priority Detection | ✓ Native | ✗ Build yourself |
| Noise Gate | ✓ Auto-filters OOO/spam | ✗ Build yourself |
| Structured Data Extraction | ✓ | ✓ |
| Semantic Search | ✓ | ✓ |
| Human in the Loop | ||
| Visual Dashboard | ✓ Full inbox management | ✗ API only |
| Approve/Edit AI Replies | ✓ Before sending | ✗ Not available |
| Seamless Handoff | ✓ Take over any thread | ✗ Build yourself |
| Email Simulator | ✓ Test without real email | ✗ Use real email |
| Core Email Features | ||
| Email Sending | ✓ | ✓ |
| Email Receiving | ✓ | ✓ |
| Email Threading | ✓ | ✓ |
| Unlimited Inboxes | ~ Plan-based | ✓ Usage-based |
| Indefinite Storage | ✓ | ✓ |
| Attachment Parsing | ✓ | ✓ |
| Custom Domains | ✓ DKIM/SPF/DMARC | ✓ DKIM/SPF/DMARC |
| Developer Experience | ||
| API-First | ✓ | ✓ |
| API Key Auth | ✓ | ✓ |
| Webhooks | ✓ <100ms | ✓ |
| Websockets | ✗ Webhooks only | ✓ |
| Python SDK | ✓ | ✓ |
| JavaScript SDK | ✓ | ✓ |
| Framework Integrations | ✓ LangChain, CrewAI | ✓ LangChain, CrewAI |
| Pricing | ||
| Pricing Model | Flat monthly tiers | Usage-based |
| Free Tier | ✓ 3 inboxes, 3K emails | ✓ Free forever |
Configure your agent's prompt, upload your docs, and AIThreads handles the rest. No need to build reply logic, prompt engineering infrastructure, or response validation.
See all conversations, monitor AI responses, approve drafts before sending, and take over any thread. Your team stays in control without building custom tooling.
Upload PDFs, docs, and text files. AIThreads chunks, embeds, and searches them automatically when your agent needs context to answer questions.
AI detects frustrated customers, urgent requests, and complex issues—then automatically flags them for human review. No missed angry customers.
Auto-filters OOO replies, newsletters, no-reply bounces, and spam before they hit your AI. Saves tokens and prevents your agent from responding to auto-generated junk.
Test your AI agent's responses without sending real emails. Simulate customer messages, see how your agent responds, and iterate fast.
Both platforms offer clean APIs. Here's how they compare.
from aithreads import AIThreadsClient
client = AIThreadsClient(api_key="ait_...")
# Create inbox with auto-reply enabled
inbox = client.inboxes.create(
username="support",
display_name="Support Team",
agent_prompt="You are a helpful support agent..."
)
# Upload knowledge base
client.documents.upload(
inbox_id=inbox.id,
file="product-docs.pdf"
)
# That's it! AI handles replies automatically
# Monitor in dashboard at aithreads.iofrom agentmail import AgentMail
client = AgentMail()
# Create inbox
inbox = client.inboxes.create(
username="support",
domain="agentmail.to"
)
# Now you need to:
# 1. Set up webhook handler
# 2. Build RAG pipeline
# 3. Implement reply logic
# 4. Handle escalation
# 5. Build dashboard UI
# 6. Filter spam/OOOStart with 3 free inboxes. No credit card required. Migrate from AgentMail in minutes—same API patterns, more features built-in.