Platform Platform Overview Orchestration Memory Integrations Observability Use Cases Customer Support Data Pipelines DevOps Automation Research & Synthesis More Docs Changelog Pricing
Sign in Get started free
Autonomous Agent Platform

Ship AI agents that actually run in production

Diaflow is the autonomous agent platform for engineering and ops teams. Orchestrate multi-step agents, wire tool calls, and monitor every run — without stitching together five open-source libraries.

AGENT Orchestrator TOOL HTTP Call LLM Inference MEM Store OUT Result OBS Trace 12ms 8ms 34ms 220ms
Trusted by engineering teams at
Vertech Payments Nexalogic Orionstack and more
10,000+ agent runs per month on Diaflow

One platform. Four capabilities.

Everything production agent systems need — observability, memory, orchestration, and integrations — in a single coherent platform.

Orchestration

Compose multi-agent workflows with graph-based routing, conditional branching, parallel execution, and retry logic.

Learn more

Memory

Long-context retrieval, vector store integration, and session state — built for multi-turn agents that need to remember.

Learn more

Tool Calling

80+ pre-built connectors for APIs, databases, and SaaS tools. Extend with your own tools via the Python or Node SDK.

Learn more

Observability

Trace every LLM call, tool invocation, and agent decision. Debug any run step-by-step with the visual timeline.

Learn more
Python SDK

Build in code. Run in production. Debug in seconds.

Diaflow's Python SDK gives you full control over agent topology. The visual debugger replays any run step-by-step — token counts, tool calls, latency per hop.

Start building free View SDK docs
support_agent.py
from diaflow import Agent, Tool, Memory

agent = Agent(
    name="support-triage",
    llm="gpt-4o",
    memory=Memory(backend="pinecone"),
    tools=[
        Tool("lookup_ticket"),
        Tool("search_knowledge_base"),
        Tool("escalate_to_human"),
    ]
)

# Deploy and observe every run
result = agent.run(ticket_id="TKT-4821")
trace  = result.trace  # full step trace
TRACE RUN #4821 Agent Start0ms Tool Call — search_knowledge_base34ms LLM Response — gpt-4o220ms Task Complete312ms total

What teams build on Diaflow

From customer support to DevOps incident response — agents running reliably in production.

Autonomous Customer Support Agents

Agents that triage, route, research, and resolve — escalating only when they need a human. A Singapore-based fintech team cut first-response time by 60% using Diaflow support agents.

Classify and route tickets automatically
Search knowledge base + CRM in parallel
Draft responses with LLM reasoning
Smart escalation with full context handoff
See how it works
Live agent trace
Ticket received — severity: medium
Tool: search_knowledge_base → 3 results
LLM: drafting response...
Resolved — 340ms total

AI-Powered Data Pipelines

Agents that ingest, clean, enrich, and route data — with LLM reasoning at every step. An analytics team at a logistics company automated 80% of weekly report generation.

Ingest from APIs, databases, and files
LLM-powered data enrichment at each hop
Deduplication and schema validation
Webhook or database output routing
See how it works
Pipeline run
Ingested 1,240 records from API
LLM enrichment: 1,180 classified
Dedup: 60 duplicates removed
Routed to PostgreSQL — 4.1s

DevOps & Incident Response Agents

Agents that monitor alerts, diagnose incidents, open tickets, and page the right on-call — autonomously. A platform team reduced MTTR by 40% with Diaflow.

Ingest alerts from PagerDuty, Datadog, or any webhook
Read logs and metrics to diagnose root cause
Create Jira tickets with full context
Page the right on-call with an AI summary
See how it works
Incident P1
PagerDuty alert: high latency p99
Agent reads Datadog metrics + logs
Jira ticket created: INC-2041
On-call paged with AI summary

Research & Synthesis Agents

Multi-step agents that search, read, summarize, and produce structured reports at ops scale. An investment research team processes 200+ documents per week through Diaflow.

Ingest documents, PDFs, and URLs
Vector search for relevant chunks
LLM summarization and cross-referencing
Structured report output to any format
See how it works
Research run
Queue: 14 documents to process
Vector search: 340 relevant chunks
LLM summarization: 14 summaries
Report generated — 2.8s

Connects to your stack

OpenAI, Anthropic, Gemini, Mistral, Pinecone, Weaviate, PostgreSQL, Slack, GitHub, Jira, and 70+ more.

AI
OpenAI
AN
Anthropic
GG
Gemini
MS
Mistral
PN
Pinecone
WV
Weaviate
PG
PostgreSQL
SL
Slack
GH
GitHub
JR
Jira
MG
MongoDB
RD
Redis
WH
Webhooks
S3
AWS S3
+
70+ more
View all integrations

Start free. Scale when you need to.

No credit card required for Starter tier.

Free
Starter
$49/mo
Builder
$199/mo
Pro
See full pricing

Ready to deploy your first autonomous agent?

Join engineering and ops teams shipping agents in production with Diaflow.