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Observability & evaluation

aimock

Combines several AI infrastructure protocols behind a configurable local test server.

Overview

Research summary

aimock runs local mock endpoints for the external systems used by AI applications. It includes model-provider APIs, MCP tools, agent-to-agent and agent-to-UI protocols, vector databases, and supporting search or moderation services. Tests can use fixtures or recorded interactions to reproduce responses and streaming behavior. The TypeScript package offers both a command-line server and a programmatic interface, helping teams test integration behavior without making live provider calls.

Repository summary

Stars
Unavailable
Open issues
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Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Version
Unavailable

Recorded catalogue figures. View repository data and provenance →

Classification

Pricing & services

Paid services unknown

Whether the provider offers paid products or services has not been established.

Licence scope

Implementation

Recorded implementation details and interfaces for aimock.

Implementation details

TypeScript mock servers, fixture matching, record/replay support, and CLI

Languages
TypeScript
Repository type
source

Recorded interfaces and capabilities

Licence scope

Repository

Repository snapshots, release information and recorded maintenance signals.

Repository snapshot

CopilotKit/aimock ↗

Stars
Unavailable
Open issues
Unavailable
Last push
Unavailable
Commits, 90 days
Unavailable
Repository activity
Not scored
Archived
Not recorded

Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).

Maintenance and provenance

Catalogue snapshot
2026-10-06

Documentation

Recorded references and research provenance for this entry.

Recorded sources 5

Research metadata

Research date
2026-10-02
Catalogue snapshot
2026-10-06