The real-time AI platform with a brain.

Build AI agents that remember, reason, and react. Real-time voice and video, persistent state, database-grade security. One binary. Zero glue code.

terminal
$ cosmictron create my-agent --template voice-agent
> Module scaffolded: voice-agent
> TypeScript client generated

$ cosmictron dev
Server running at ws://localhost:3000
Voice pipeline ready (STT + LLM + TTS)
Agent memory: conversations table active

Ready. Your agent has a brain.
Open Source · MIT / Apache 2.0
THE PROBLEM

Every AI agent platform has amnesia.

Building a production AI agent today means wiring together a half-dozen services. Your agent forgets everything between sessions.

The status quo
LiveKit / Twilio PostgreSQL
Redis Vector DB
Auth Provider Observability
6 services · 3 languages · 2,500+ lines of glue
Cosmictron
cosmictron single binary
Media State Compute Auth Sync
1 binary · everything included
SUPERPOWERS

What makes the brain work.

Stateful Agents

Agent memory is automatic. Every conversation persists. Cross-session recall is a SQL query, not a RAG pipeline.

Incremental Sync (DBSP)

Only changes are transmitted. 10-100x less bandwidth than data channels. Your 50-agent dashboard gets deltas, not full state dumps.

Embedded Compute

Agent logic runs inside the database. Data access in microseconds, not the 30ms network hop to PostgreSQL.

Offline-First

CRDT sync keeps agents working during network failures. The only AI platform that works when the internet doesn't.

Security-First

Declarative row-level security on every table. RBAC, audit logs, passkeys. HIPAA-ready, not HIPAA-hopeful.

HOW IT WORKS

Three steps to an AI agent with memory.

1

Define your agent's memory

module.rs
#[table(name = "conversations")]
pub struct ConversationTurn {
    #[primary_key] #[auto_inc]
    pub id: u64,
    pub user_id: Identity,
    pub role: String,
    pub content: String,
    pub timestamp: u64,
}
2

Write your agent logic

module.rs
#[reducer]
fn on_user_message(ctx: &ReducerContext, text: String) {
    // Auto-persisted. Queryable. Protected by RLS.
    db::insert(ConversationTurn {
        user_id: ctx.sender,
        role: "user".into(),
        content: text,
        timestamp: ctx.timestamp,
    });
}
3

Cross-session memory is a query

agent.py
# Next time this user calls, the agent remembers
history = await db.query(
    "SELECT content FROM conversations "
    "WHERE user_id = $1 ORDER BY timestamp DESC LIMIT 20",
    [session.user_id]
)
SIMPLIFY

Stop assembling. Start building.

LiveKit + PostgreSQL + Redis
Media + state + cache in one process

Real-time voice, video, persistent storage, and pub/sub in a single binary. No inter-service latency. No deployment choreography.

Pinecone + RAG pipeline + custom retrieval
Agent memory is a SQL query

Every conversation auto-persists. Cross-session recall is SELECT, not a vector similarity pipeline. Deterministic, debuggable, fast.

Auth0 + custom RBAC + audit logging
Declarative RLS, passkeys, audit trail built in

Row-level security policies are SQL predicates. Passkey auth, RBAC, and full audit logging ship with the binary. HIPAA compliance is configuration, not code.

One binary. Zero glue code.

USE CASES

Built for agents that need to think.

Voice AI Agents

Customer service, sales, support. Agents that remember every conversation and recall context instantly.

Healthcare AI

HIPAA-compliant triage agents with patient history, medication tracking, and row-level data isolation.

Multiplayer + AI NPCs

Game state sync + AI characters with persistent memory. One binary, no separate game server.

Offline-First AI

Field service, rural healthcare, disaster response. AI assistants that work without connectivity.

COMPARE

How we're different.

Coming from LiveKit?

LiveKit handles media beautifully. We add the brain: persistent state, agent memory, row-level security, offline sync. One binary instead of five services.

  • Persistent agent memory across sessions
  • DBSP incremental subscriptions (not just data channels)
  • Row-level security and RBAC built in

Coming from Twilio?

Telephony is Twilio's strength. We add real-time state management, embedded compute, and DBSP incremental subscriptions. Your agent doesn't need a separate database.

  • Embedded compute eliminates the backend hop
  • Offline-first CRDT sync for unreliable networks
  • SQL-based agent memory, not external storage

Coming from Firebase / Supabase?

Great databases. We add WebRTC media transport and an AI agent framework. Your real-time backend and your agent platform are the same system.

  • Real-time voice and video built in
  • Agent logic runs inside the database
  • Truly open source (MIT / Apache 2.0)
PERFORMANCE

Numbers, not promises.

0
agent calls/sec
500 concurrent clients
0 ms
average latency
p50 end-to-end
0 +
max connections
single node
O(delta)
subscription updates
incremental, not full scan

Benchmarked on a single node. No caching tricks. Reproducible.

COMING SOON

Cosmictron Cloud is coming.

Managed hosting, agent deployment, built-in observability. Join the waitlist.

No spam. Just one email when we launch.