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Agent23

An operating layer for AI agents that can retrieve, act, and stay inside your governance.

Problem

Most companies have a graveyard of chat demos. They cannot call tools safely, cannot cite sources, and cannot be evaluated like software.

Solution

Agent23 is a production agent runtime: retrieval, tools, memory, evaluation, tracing and human approval — packaged so product teams can ship intelligence into real workflows.

Key features

Multi-agent orchestration with explicit roles
Enterprise RAG with citation and ACL-aware retrieval
Tool gateway with scoped credentials
Eval suites, tracing and replay
Voice and chat surfaces on the same core

Product imagery

Analytics dashboard used by agent operators

Architecture

01
Gateway for identity and policy
02
Planner / worker agents with shared memory
03
Vector + relational knowledge plane
04
Observability bus for traces and scores

Technology

PythonTypeScriptOpenAI APIsPostgreSQLRedisKubernetes

Benefits

→ Move from prototype to production without a second architecture
→ Audit who did what, with which context
→ Swap models without swapping the product

Use cases

→ Internal knowledge agents
→ Customer operations copilots
→ Voice-led intake and triage

From the field

“They did not sell us a chatbot. They sold us an operating model for AI we could audit. That is why it is still on.”
Dr. Imani Cole · Helia Health

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