latent lab
Contact us
MIT Media Lab · Viral Communications

See the Big Picture
& Negative Space

Latent Lab turns a body of knowledge into a navigable semantic landscape. Where a chat interface answers one question at a time, the map shows the whole space at once: how ideas cluster, how they move over time, and where the open ground lies. Overlay datasets, steer the view with a phrase, and synthesize new ideas from the regions you select.

source agnostic
file · csv · folder · api · mcp
For agents · Model Context Protocol

Drive Latent Lab from any MCP-aware host.

Drop the config into Claude Code, Claude Desktop, Cline, or the Anthropic Agent SDK. The first tool call runs a device-code login. After that every latentlab_* tool talks to this deployment.

MCP host config
{
  "mcpServers": {
    "latentlab": {
      "command": "python",
      "args": [
        "-m",
        "latentlab.mcp"
      ],
      "env": {
        "LATENTLAB_API_URL": "/api"
      }
    }
  }
}
Install
pip install latentlab
This deployment
/api
References
MIT Media Lab Projects
Items: 3,858
Microsoft Research
Items: 2,140
E14 Portfolio
Items: 412
Add or Remove Datasets
USPTO (1976)18k
Pandemic Super Spreaders640
Microsoft Research2,140
E14 Portfolio412
SemanticKeyword
What ideas are you looking for?
Summarize Viewready
Research projects include stress detection during driving using physiological signals, haptic feedback for interacting with virtual objects, PCB design for new audiences, mapping protein-protein interactions, bioengineering solutions for clinical problems, continuous dream creation, human interaction with space, and quantifying the impact of artisanal gold mining in Ghana.
Color by
GroupDataset
show allhide all
biomechatronics
responsive-environments
object-based-media
synthetic-neurobiology
civic-media
affective-computing
Year
19842023
MultiDataset · engine view
MIT Media Lab Projects
Items: 3,858 / 3,858
SemanticKeyword
What ideas are you looking for?
Summarize Viewready
Research projects include stress detection during driving using physiological signals, haptic feedback for interacting with virtual objects, PCB design for new audiences, mapping protein-protein interactions, bioengineering solutions for clinical problems, continuous dream creation, human interaction with space, and quantifying the impact of artisanal gold mining in Ghana.
Color by
ClusterGroup
show allhide all
biomechatronics
responsive-environments
object-based-media
synthetic-neurobiology
civic-media
affective-computing
Year
19842023
LandscapeEvolution · engine view
MIT Media Lab Projects
Items: 3,858
SemanticKeyword
What ideas are you looking for?
Summarize Viewready
Research projects include stress detection during driving using physiological signals, haptic feedback for interacting with virtual objects, PCB design for new audiences, mapping protein-protein interactions, bioengineering solutions for clinical problems, continuous dream creation, human interaction with space, and quantifying the impact of artisanal gold mining in Ghana.
Selection
Affective Mirror
A fully automated system that responds to a person’s affective state in real time, detecting cues through facial-feature and posture tracking and mirroring them back to build rapport.
Add to Recipe +affective-computing
Synthesis Workbench
Recipe
Select at least 2 research project descriptions to start a generation…
Generation
Generated research project description ideas will appear here…
Color by
ClusterGroup
show allhide all
biomechatronics
responsive-environments
object-based-media
synthetic-neurobiology
civic-media
affective-computing
Year
19842023
IdeaSynthesis · engine view
About Latent Lab

An instrument for latent knowledge.

We build cartographies of meaning: interactive maps that let researchers, designers, and strategists see what a body of text, code, or imagery is shaped like.

Latent Lab is a research project of the Viral Communications group at the MIT Media Lab, with pilots across publishing, energy, telecom, defense, and consulting.

Partners & sponsors
BP
Comcast
Dell
Deloitte
DSTA
HP
Join the team

Help us upgrade the channels of thinking.

We’re looking for researchers, designers, and engineers intrigued by the future of human–AI interaction, people who want to expose latent knowledge and expand the human capacity to grasp higher dimensions of information.

Contact us