zeeq-ai/zeeq-app

Zeeq is an agent knowledge layer that surfaces telemetry that let's teams build better software with AI

8

stars

151

commits

C#

primary language

Aug 11, 2026

updated

zeeq.ai
ai
ai-agents
code-review
knowledge-base

README

Zeeq

Screenshot of the Zeeq telemetry dashboard

Zeeq ("zeek") is an MCP server that provides teams with visibility into which content is being activated and used in agent context.

This telemetry lets teams see how agents are using context to affect code authoring.

Screenshot of the Zeeq telemetry dashboard for tool calls

The same context origin and telemetry are applied to code reviews which can be invoked in the agent loop (versus in CI on the PR).

It is designed to be self hostable, relatively consolidated on a few technologies (can run entirely on Postgres; no additional infrastructure), yet operationally scalable.

Zeeq was originally built as an internal platform at Motion ($500m, series C, YC startup) to shape agentic coding output and is now released as an open source tool.

It is a key part of Motion's internal agentic coding platform, which is used by a team of 40+ engineers to ship with high confidence using AI coding tools.


Local setup

Zeeq is designed to be easy to setup and run using Mise to install the necessary runtime components.

For local setup see: https://zeeq.ai/docs/managing-zeeq/local-development


Self hosted setup

Deploying to Google Cloud? See: https://zeeq.ai/docs/configuration/gcp-runtime


License

Zeeq AI Copyright (C) 2026 Zeeq Labs, Inc

Zeeq is licensed under the GNU Affero General Public License, version 3 or later. See LICENSE for details.

Contributors

CharlieDigital

141 commits

cchen-motion

10 commits

zeeq-ai/zeeq-app

Zeeq is an agent knowledge layer that surfaces telemetry that let's teams build better software with AI

8

stars

151

commits

C#

primary language

Aug 11, 2026

updated

zeeq.ai
ai
ai-agents
code-review
knowledge-base

README

Zeeq

Screenshot of the Zeeq telemetry dashboard

Zeeq ("zeek") is an MCP server that provides teams with visibility into which content is being activated and used in agent context.

This telemetry lets teams see how agents are using context to affect code authoring.

Screenshot of the Zeeq telemetry dashboard for tool calls

The same context origin and telemetry are applied to code reviews which can be invoked in the agent loop (versus in CI on the PR).

It is designed to be self hostable, relatively consolidated on a few technologies (can run entirely on Postgres; no additional infrastructure), yet operationally scalable.

Zeeq was originally built as an internal platform at Motion ($500m, series C, YC startup) to shape agentic coding output and is now released as an open source tool.

It is a key part of Motion's internal agentic coding platform, which is used by a team of 40+ engineers to ship with high confidence using AI coding tools.


Local setup

Zeeq is designed to be easy to setup and run using Mise to install the necessary runtime components.

For local setup see: https://zeeq.ai/docs/managing-zeeq/local-development


Self hosted setup

Deploying to Google Cloud? See: https://zeeq.ai/docs/configuration/gcp-runtime


License

Zeeq AI Copyright (C) 2026 Zeeq Labs, Inc

Zeeq is licensed under the GNU Affero General Public License, version 3 or later. See LICENSE for details.

Contributors

CharlieDigital

141 commits

cchen-motion

10 commits

Languages

C#

85.1%

Vue

9.5%

TypeScript

4.7%