Agent as a Service
The control layer for AI-native companies.
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Works with OpenAI, Anthropic, LangGraph, AutoGen, and anything else you’re running.
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Why Echomode exists.
The downstream pipeline for AI should belong to everyone who's shipping it.
The Stack
Build with you. Control in real time. Prove on demand.
Multi-step orchestration.
Chain agents into flows. Branch on what they say. Sketch the DAG we run it.
Control how agents behave — not just observe them.
Persona
Define who the agent is — voice, tone, refusal patterns, scope. Set it once; we hold the line, turn after turn.
Knowledge
Decide what the agent can reach. State-aware retrieval pulls the right context for the moment — never more, never stale.
Observability
Every decision comes with its receipt. State, hashes, tools, model, latency — captured the instant it happens.
Test agents like code.
Catches regressions before ship. Plugs into the CI you already run.
Agent score
High
94
Prompt Alignment
97
Legal Disclaimer
93
Evidence Grounding
98
Legal Precision
91
Structured Output
Stay on-persona, every turn.
Catches drift the moment it starts. Set the persona once — we hold the line. Counter-steer before it ships.
Runtime Monitor
engineer-chatbot · 19 rounds
0
25
50
75
100
State:
Stable
Mild
Moderate

Built for change
Don’t let your provider be your bottleneck.
Any backend.
Any frontend.
Any deployment target
+ more soon
Your control logic stays put when the rest of the stack moves.
Solutions
Built for B2B verticals where mistakes
have weight.
Agent as a Service
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Enterprise and Admin
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Customer-facing agents
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Built for agents
Or go native in five lines.
Every part of the platform is exposed as API and SDK — personas, FSM, drift hooks, eval fixtures, audit queries. Reach for whichever surface fits where your agent already lives. TypeScript and Python.
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Ready to run agents in production?
Connect in an afternoon. Govern in real time. Prove it after.
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