Deep Dive

Technical exploration of every subsystem in the chati.dev orchestration engine. How context, memory, quality, and multi-provider coordination work under the hood.

System Overview

Full system architecture: pipeline phases, infrastructure layers, governance, and multi-provider support.

Single-agent handoff

How a single agent passes work to the next via the orchestrator.

Agent Handoff Sequence: how agents communicate through the orchestrator with quality gate validation.

v4.3

When agents need to talk to each other instead of just passing the baton, the framework switches to Agent Teams (Article XXI) — a parallel coordination protocol with a filesystem mailbox.

Explore Subsystems

PRISM Context Engine

LLMs lose context in long sessions

6-layer context assembly with progressive reinforcement. Budgets increase as memory degrades, scaled per provider.

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Memory System

Knowledge dies with the session

3-level progressive retrieval persisting knowledge across sessions within the project, from volatile session state to long-term durable patterns.

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Quality & Governance

AI code quality is inconsistent

5 pipeline gates, circuit breaker pattern, 3-tier verdicts, scoring thresholds, and safety net triggers.

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Session Lifecycle

Workflows break between sessions

Session state machine, schema versioning, execution profiles, and mode transitions from planning to deployment.

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The Constitution

AI agents operate without clear rules

23 governance articles with enforcement levels defining every rule of the orchestration system.

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Agent Teams

Parallel agents that actually talk to each other

Multi-agent coordination via a shared task list and a filesystem mailbox protocol. Article XXI introduced in v4.2.

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Workflows

One pipeline doesn't fit every task

Seven curated workflows from 4-agent quick fixes to 12-agent greenfield fullstack. The orchestrator picks one automatically based on your first message.

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By the Numbers

Specialized Agents

Constitution Articles

PRISM Layers

Quality Gates