AI AGENT
ORCHESTRATION

Enterprise-grade multi-agent coordination.500+ concurrent sessions in production.

Architecture

Task Delegation

Autonomous decomposition of complex objectives into subtasks. A supervisor agent routes work to specialized workers based on capability matching and load balancing across the session pool.

  • Supervisor → Worker routing
  • Capability-based dispatch
  • Dynamic load balancing

Tool Use & Integration

Agents invoke external tools — APIs, databases, code execution — through a unified interface. Tool calls are validated, rate-limited, and retried with exponential backoff.

  • Unified tool interface
  • Rate limiting & retries
  • Sandboxed execution

Shared Memory

ChromaDB-backed vector store gives all agents access to a shared context window. Conversation history, tool results, and intermediate reasoning persist across the full session lifecycle.

  • Vector store (ChromaDB)
  • Cross-agent context
  • Session-scoped persistence

Production Metrics

500+
Concurrent Sessions
0
Message Loss
99.9%
Uptime
<200ms
Agent Dispatch

Tech Stack

PythonCore runtime
FastAPIAPI layer
LangGraphAgent orchestration
DockerContainer runtime
ChromaDBVector memory
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