Replay-native public hub

Replay-native AI systems

A replay-native system keeps enough operational memory around agent runs, tool calls, approvals, retries, and recovery paths that behavior can be reconstructed after the moment has passed.

This is the shareable ReconAI narrative hub for runtime continuity. It is static public posture and simulated vocabulary, not live customer telemetry or a claim that every surface is enabled in every workspace.

Replay-native architecture

A continuity stack, not a new AI stack.

Illustrative
01

Runtime

Agents, tools, prompts, approvals, and model calls where work actually happens.

02

Replay capture

Ordered events, hashes, expected-vs-observed posture, and checkpoint markers.

03

GhostLog

Receipt vocabulary for preserving lineage, trust deltas, and review-ready evidence.

04

TrustGraph

Static relationship map for handoffs, policy edges, drift, and recovery context.

05

Continuity governance

Human review, escalation, retention, and recovery decisions grounded in replayable context.

Illustrative public architecture only. It describes ReconAI continuity vocabulary and review posture, not live customer telemetry, hidden orchestration, or a guarantee that every layer is enabled in every workspace.

Copy-paste quickstart

Install, run, inspect.

Install the TypeScript SDK

npm install @reconai/sdk

Matches the published Node/TypeScript quickstart path linked from the existing start page.

Run the local demo

npx reconai demo

Use the CLI demo before wiring production ingestion or workspace-specific evidence flows.