Design, Orchestrate, and Run Cooperative AI Swarms
Connect cooperative AI agents, manage stateful long-running memory variables, and run production-grade agentic networks with the ultimate AI agent workflow orchestrator.
Other tools make you choose. We don't.
Building cooperative multi-agent networks shouldn't require picking between complex, unreadable code frameworks and simplistic visual tools.
Thousands of lines of complex API boilerplate to build simple agent chains.
Hard-to-debug loops where agent execution gets stuck in recursive prompt holes.
Zero visual interface to trace or modify workflows on the fly.
Built for linear automations, not stateful multi-agent cooperative networks.
Lack proper memory persistence for multi-day human approvals.
Severe latencies when passing massive context blocks back and forth.
Visual Node Canvas paired with complete programmatic layout control.
Stateful Memory debugger with time-travel inspection of variables.
Sub-100ms Edge Routing preventing communication latency bottlenecks.
Engineered for complex multi-agent workflows
Everything you need to orchestrate stateful cooperative agentic systems in a beautiful, visual editor.
Visual Swarm Canvas
Compose multi-agent networks with a simple drag-and-drop node graph. Visually coordinate writer agents, researcher agents, and supervisor review loops without writing thousands of lines of orchestration boilerplate.
Learn more →Stateful Memory Core
Keep track of long-running multi-day executions. Automatically save execution variables, memory threads, and dialogue states. Resume agent workflows instantly from interruptions without starting pipelines from scratch.
Check variables →Human-in-the-Loop Safeguards
Place manual approval gates before agent networks perform high-risk API operations, database mutations, or critical expenditures. Give agents the autonomy they need with the precise supervision your business requires.
Read safe protocols →Ultra-Low Latency Edge Runtime
Deploy agent swarms closer to your database runtimes. SwarmWeave edge graphs compile visual node architectures into super-fast routes, reducing local orchestrator latency from seconds down to milliseconds.
Analyze latency →Build and ship in three simple steps
Our platform handles all the hard orchestration steps, state management database rules, and hosting details.
Model Agents
Instantiate agents with dedicated system instructions, context databases, and selective LLM models.
Establish Channels
Establish connection routes to specify how agents converse, pass state messages, and trigger actions.
Deploy Edge Swarm
Ship agent swarms with a single command to our ultra-low latency edge hosting environment.
Pre-built templates to ship today
Get a head start with our library of production-tested multi-agent templates. Click and deploy instantly.
Research & Synthesis Swarm
Automated deep research agent that browses target pages, synthesizes research findings, and compiles briefs.
Use template →Customer Success Responder
Multi-agent team with draft specialist and senior supervisor for automated high-precision support tickets.
Use template →Lead Enrichment Pipeline
Connect social profile scrapers with AI scoring agents and CRM update webhooks with a manual approval gate.
Use template →Automated Code Auditor
Cooperative code agents scanning GitHub pull requests for security vulnerabilities and scripting fixes.
Use template →Social Media Campaigner
Generates, optimizes, schedules, and edits weekly promotional threads across social networks with zero prompt drift.
Use template →SEO Content Audit Swarm
Parses search engine ranking directories, reviews competitors, and builds a comprehensive content outline blueprint.
Use template →Built for high-growth AI engineering teams
Read why team leaders trust SwarmWeave to orchestrate production-grade agent pipelines.
"SwarmWeave completely replaced our brittle CrewAI setup. Our visual canvas diagrams make it clear to stakeholders how agents coordinate, and stateful memory has prevented thousands of crashed jobs."
"The visual debugging timeline is a game-changer. We can pause agent runs, inspect the prompt state, modify variables, and resume instantly. Our developer speed increased tenfold."
"We needed a platform that supported manual human review loops before agents committed code modifications. SwarmWeave did exactly this out of the box. Extremely robust and reliable."
Simple, transparent plans for any scale
Start building for free, and scale your agent swarm transactions as your operations grow.
For individual developers prototyping visual agent structures.
- Up to 5 active agent nodes
- Basic memory storage (24hr)
- 500 agent runs / month
- Community support channels
For growing startups shipping resilient production agent pipelines.
- Unlimited active agent nodes
- Stateful Memory Core (Persistent)
- Unlimited agent runs / month
- Human-in-the-loop approval triggers
- Priority developer support
For large companies requiring advanced security and hosting options.
- Dedicated local cloud orchestrators
- SLA performance guarantees
- Granular organization security layers
- On-premise edge runtimes
- 24/7 success account team
Full Feature Comparison
| Core Capabilities | Developer | Growth | Enterprise |
|---|---|---|---|
| Visual Swarm Canvas | Enabled | Enabled | Custom Layouts |
| Stateful Memory persistence | 24 Hours | Unlimited | Dedicated DB |
| Human approval gates | Disabled | Enabled | SAML Gates |
| Local Edge latency | Sub-200ms | Sub-100ms | Sub-50ms |
| SSO / Granular Roles | Disabled | Disabled | SOC2 Compliant |
FAQ
Clear, direct answers regarding multi-agent orchestration, state management, and edge execution capabilities.
An AI agent workflow orchestrator is a software platform designed to coordinate, route messages, and maintain state records for groups of cooperative AI agents. By establishing connection rules and memory policies, it lets multiple specialized agents collaborate on complex jobs autonomously.
SwarmWeave writes all agent variables, conversation records, and execution loops to a highly resilient persistent state database. If an agent pauses for human verification, or crashes mid-task, our system suspends execution and safely resumes it later from the exact same point.
Yes. You can place manual approval triggers before sensitive actions (e.g. sending emails, billing API usage, or DB updates). When an agent triggers this gate, execution pauses, operator alerts are dispatched, and the swarm proceeds only after manual clearance.
Multi-agent communication relies on high-frequency exchanges. Traditional systems route these through central servers, causing severe lag. SwarmWeave compiles agent topologies into local edge graphs, bringing agent-to-agent latency down to sub-100ms to eliminate bottlenecks.
While frameworks like LangChain require thousands of lines of unreadable abstraction code, SwarmWeave provides a highly observable visual canvas. This lets developers orchestrate and inspect agent swarms visually without sacrificing programmatic configuration control.