You Tell Us Your Needs
Expected load, agent endpoints, session requirements. We figure out the infrastructure topology.
Production Messaging Infrastructure
Distributed messaging
for AI agents at scale.
One human, multiple agents, thousands of messages per task. Reasoning traces, tool calls, status updates — all streaming in real-time. FleetLM handles the infrastructure.
<150ms p99 latencyMillions of messages/day99.9% uptime guardrails
Built by ex-Meta infrastructure engineers
Live Infrastructure
See it work.
One user request. Multiple agents responding. Reasoning traces, tool calls, status updates — thousands of messages streaming back simultaneously. This is what handling that looks like.
Connected — us-east-1
sessions: 12,847p99: <150ms
14:23:51.234sess_a4f2e1agent-prod-01msg_routed23ms
14:23:51.237sess_b891c3agent-prod-02stream_start12ms
14:23:51.241sess_c3d7a8agent-prod-01stream_chunk8ms
14:23:51.244sess_d562f4agent-prod-03msg_routed31ms
14:23:51.248sess_a4f2e1agent-prod-01stream_chunk9ms
14:23:51.251sess_e719b2agent-prod-02session_new15ms
14:23:51.255sess_b891c3agent-prod-02stream_end847ms
14:23:51.258sess_f083d6agent-prod-01msg_routed19ms
14:23:51.262sess_c3d7a8agent-prod-01stream_end1.2s
14:23:51.265sess_d562f4agent-prod-03stream_start14ms
14:23:51.269sess_a4f2e1agent-prod-01history_save4ms
14:23:51.272sess_g241e9agent-prod-02msg_routed27ms
14:23:51.276sess_h508a3agent-prod-03session_new11ms
14:23:51.279sess_d562f4agent-prod-03stream_chunk7ms
14:23:51.283sess_e719b2agent-prod-02msg_routed22ms
14:23:51.286sess_f083d6agent-prod-01stream_start13ms
14:23:51.290sess_h508a3agent-prod-03msg_routed18ms
14:23:51.293sess_g241e9agent-prod-02stream_chunk6ms
14:23:51.297sess_j102k7agent-prod-01session_new14ms
14:23:51.301sess_f083d6agent-prod-01stream_chunk5ms
14:23:51.234sess_a4f2e1agent-prod-01msg_routed23ms
14:23:51.237sess_b891c3agent-prod-02stream_start12ms
14:23:51.241sess_c3d7a8agent-prod-01stream_chunk8ms
14:23:51.244sess_d562f4agent-prod-03msg_routed31ms
14:23:51.248sess_a4f2e1agent-prod-01stream_chunk9ms
14:23:51.251sess_e719b2agent-prod-02session_new15ms
14:23:51.255sess_b891c3agent-prod-02stream_end847ms
14:23:51.258sess_f083d6agent-prod-01msg_routed19ms
14:23:51.262sess_c3d7a8agent-prod-01stream_end1.2s
14:23:51.265sess_d562f4agent-prod-03stream_start14ms
14:23:51.269sess_a4f2e1agent-prod-01history_save4ms
14:23:51.272sess_g241e9agent-prod-02msg_routed27ms
14:23:51.276sess_h508a3agent-prod-03session_new11ms
14:23:51.279sess_d562f4agent-prod-03stream_chunk7ms
14:23:51.283sess_e719b2agent-prod-02msg_routed22ms
14:23:51.286sess_f083d6agent-prod-01stream_start13ms
14:23:51.290sess_h508a3agent-prod-03msg_routed18ms
14:23:51.293sess_g241e9agent-prod-02stream_chunk6ms
14:23:51.297sess_j102k7agent-prod-01session_new14ms
14:23:51.301sess_f083d6agent-prod-01stream_chunk5ms
<0ms
p99 latency
99.9%
Uptime guardrails
Agents don't communicate like humans.
A single task can trigger dozens of agents — each one streaming reasoning traces, tool calls, and status updates back to the user. That's not a chat. That's a firehose.
1
Human
Sends one request
N
Agents
Coordinate in parallel
1000s
Messages
Per task, streaming back
Reasoning traces. Tool invocations. Progress updates. Error recoveries. Every agent produces a torrent of messages — and your users expect to see all of it, in real-time. That's the infrastructure problem we solve.
How It Works
We deploy it for you.
Early access means white-glove deployment. We set up your infrastructure, tune it for your load, and hand you the keys.
We Deploy Your Stack
Distributed message routing, session management, streaming infrastructure — configured for your scale.
You Go Live
We hand you the connection details. Your agent traffic flows through production-grade infrastructure.
What you get:
- →Dedicated infrastructure tuned for your load profile
- →Message routing endpoints for your agent to connect to
- →WebSocket URLs for real-time client connections
- →Monitoring dashboards showing latency, throughput, errors
- →Direct line to us if something breaks
Infrastructure
Infrastructure for the multi-agent era.
When one human orchestrates multiple agents, message volume explodes. We built every layer you'd need — so you don't have to.
Multi-Agent Message Routing
One user request fans out to multiple agents. Every response streams back to the right session, the right client.
High-Volume Streaming
Reasoning traces, tool calls, status updates — thousands of messages per task, delivered token-by-token over WebSocket.
Concurrent Session Management
Thousands of isolated sessions running in parallel. Each with its own agent constellation. No crossed wires.
Persistent Conversation History
Full message history, queryable and persistent. Users pick up exactly where they left off.
Horizontal Scaling
Handle 10 or 50,000 concurrent sessions. Scale up with zero config changes, scale down with zero waste.
99.9% Uptime Guardrails
Built-in failover, redundancy, and health monitoring. Your agent stays online when it matters most.
Bring your own databaseWhite-label readyAny HTTP endpointAny LLMAny frameworkSelf-host available
FleetLM is not for everyone.
We built this for a specific kind of pain. If you haven't hit it yet, you'll know when you do.
Not the right fit
- You're still prototyping your agent
- You have a handful of users
- You're exploring what AI can do
- Latency and uptime are afterthoughts
Built exactly for you
- Your agents are live and serving real users
- One user triggers multiple agents simultaneously
- Thousands of messages stream back per task
- Reliability and latency are non-negotiable
Still figuring out your product? That's the right time to use simpler tools. Come back when scale becomes the problem.
Questions
What exactly is FleetLM?
Distributed messaging infrastructure for multi-agent systems. It sits between your users and your agents — routing messages, streaming responses from multiple agents simultaneously, managing sessions, and persisting conversation history. You bring the agents, we handle the plumbing.
How is this different from building it myself?
You could build this. It would take months — multi-agent message routing, WebSocket fan-out, session isolation, queuing, failover, history storage, scaling. Built by ex-Meta infrastructure engineers who've done this at billions-scale. FleetLM gives you all of it, battle-tested.
Will this work with my existing agent?
Yes. If your agent has an HTTP endpoint, FleetLM works with it. Any framework, any LLM, any language. Your agent logic stays exactly where it is.
What if I outgrow the limits?
Talk to us. Higher concurrency, custom SLAs, dedicated infrastructure — no surprise bills, no enterprise ultimatums.
What about data privacy?
We never train on your data. Messages encrypted in transit and at rest. Self-host option available. GDPR-friendly.
Is this just for chatbots?
No. FleetLM is built for the agent-native era — where one user orchestrates multiple agents that each produce thousands of messages (reasoning, tool calls, status updates). Chatbots are the simplest case. We're built for the complex ones.
Your agents handle the thinking.
FleetLM handles the messaging.
The multi-agent future is here. Let us handle the infrastructure so you can focus on what your agents actually do.