Question 1

What is Lightfast?

Accepted Answer

Lightfast is a memory layer for software teams. It indexes your code, docs, tickets, and conversations so engineers and AI agents can search by meaning, get answers with sources, and trace decisions across your entire engineering org.

Question 2

How is this different from regular search?

Accepted Answer

Traditional search matches keywords. Lightfast understands intent and meaning. Ask 'who knows about authentication' and it finds the people who've worked on auth code, discussed auth issues, or reviewed auth PRs—even if they never used that exact word. It's semantic search plus the memory layer that tracks decisions, changes, and expertise across your entire engineering org.

Question 3

What is the memory layer?

Accepted Answer

The memory layer captures the important moments in your team's history—decisions made, incidents resolved, features shipped. It builds expertise profiles showing who knows what, tracks how things evolved over time, and generates summaries of team activity. This enables powerful queries like 'what decisions were made about the database migration' or 'who has context on the payment system'.

Question 4

What tools and platforms do you integrate with?

Accepted Answer

We integrate with GitHub (code, PRs, issues, discussions), Linear (tickets, projects), Slack (conversations, threads), Notion (docs, wikis), Confluence (documentation), and more coming soon. Each integration is a 'source'—an entire GitHub org or Slack workspace counts as one source. We continuously sync to keep your knowledge fresh.

Question 5

How do agents and AI assistants use Lightfast?

Accepted Answer

Lightfast provides a simple 4-route API and MCP (Model Context Protocol) tools that any agent can use. Instead of dumping entire codebases into context, agents can search for exactly what they need, get answers with citations, and find related content. This means agents can access your entire knowledge base without token limits or hallucination risks.

Question 6

Is our data secure and private?

Accepted Answer

Absolutely. Every workspace is completely isolated—separate database schemas, separate vector namespaces, separate storage buckets. Your data never mixes with others. We use industry-standard encryption, and you can delete your data anytime. We never train models on your data, and we never share it with anyone.

Question 7

How quickly can we get started?

Accepted Answer

You can be searching in minutes. Connect your first source (like GitHub), and we'll start indexing immediately. Most teams see initial results within 5-10 minutes, with full indexing complete within hours depending on size. Our API has just 4 routes, and we provide SDKs for Python, TypeScript, and MCP tools for agents. No complex setup required.

Question 8

What makes answers trustworthy?

Accepted Answer

Every answer cites its sources. When Lightfast says 'the authentication system uses JWT tokens,' it shows you the exact PR, document, or discussion where that information came from. You can click through to verify, see the full context, and understand who made that decision and when. No black-box AI responses—everything is explainable and verifiable.

Question 9

How does pricing work?

Accepted Answer

We offer a free Starter plan for up to 3 users with 2 sources. Our Team plan is $12/user/month with semantic search and the memory layer. Business plan includes unlimited everything with advanced features. You pay for users who can search, not for how much you search. Check our pricing page for full details.

The memory layer for software teams and AI agents.

One search, all sources

Automatic sync

Identity correlation

Instant answers

Track dependencies

Privacy by default

Changelog

Search API, Hybrid Retrieval, Cross-Encoder Reranking

Entity Extraction, Observation Clusters, Multi-View Embeddings

Observation Pipeline, Semantic Classification, Webhook Architecture

Try Lightfast now.