[ver_001] / コスミクトロン

The AI Agent Backend.
In One Binary.

Deploying production-grade AI agents requires a sprawling mess of memory stores, queue services, and execution environments. Cosmictron unifies it all into a single, hyper-performance binary.

zsh — ~/cosmictron

$ curl -sSL init.cosmictron.sh | bash

→ read_docs → book_demo

COSMICTRON / コスミクトロン

THE PROBLEM / 问题

Every AI agent has amnesia.

Building apps today means duct-taping together vector databases for long-term memory, Redis for short-term state, Celery for task queues, and custom scripts for orchestration. It's fragile and slow.

[01] Vectors DB (Pinecone/Weaviate)
[02] Key-Value Store (Redis)
[03] Message Queue (RabbitMQ)
[04] Docker (VM isolation)
[05] Orchestration (Airflow/Temporal)
[06] Observability (5+ dashboards)

THE SOLUTION / 解决方案

One binary. Everything your agents need.

We rewrote the entire agent backend stack from scratch in Rust. Semantic memory, state management, and task queuing — all running in a single, hyper-optimized binary with sub-millisecond latency.

mem_store Unified Vector + Graph

exec_engine WASM Runtime

latency <1ms P99

footprint 40MB Binary

section_03 / bench_results

The numbers don't lie.

Real workloads. Cold machine. Fresh install. Run them yourself.

vector_search_p99 0.83ms 10M vectors · 1536d · cosine

memory_write_qps 284k/s single node · 8-core · NVMe

cold_start 41ms WASM module · warm cache

binary_size 40mb static · zero runtime deps

section_04 / ship_targets

Deploy anywhere that runs Linux.

One binary. No sidecars, no helm charts, no platform lock-in.