
Chroma is open-source search infrastructure for AI applications, with local deployment and a managed cloud offer.
Chroma is open-source search infrastructure for AI applications, with local deployment and a managed cloud offer.
Vector, full-text, regex and metadata search support retrieval workflows; Chroma is infrastructure rather than an autonomous task-planning agent.
Local developer setup or managed cloud onboarding is available; schema, indexing and application integration still need engineering.
The local Apache 2.0 software has no license fee. Cloud pricing meters storage, writes and queries, with a $0 base tier plus usage and a $250/month tier plus usage; embeddings and application compute are separate.
Python, TypeScript and other developer interfaces connect search to application pipelines and embedding workflows.
Choose it for storing and retrieving application data. An external application or agent supplies goals and decides what to do with search results.
Product overview
Chroma is best understood as open-source search and retrieval infrastructure rather than an agent framework. Chroma presents open-source search infrastructure for AI applications.
Information as of July 30, 2026
Chroma presents open-source search infrastructure for AI applications.[1]
34/100
Our subjective rating of how independently the product carries out its documented tasks, considering the human setup, input, approval and review it needs. This is not a measured success rate.
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For ai agent infrastructure teams
Exploring Chroma? For AI agent infrastructure teams, your own AI agent can investigate execution failures, improve shared agent services, and verify platform releases. Start with a setup tailored to this work.
Tailored starting setup. Chat on our site. See the workflow and monthly plan.