Overview

Welcome to TeamLoop

TeamLoop is a temporal intelligence platform that transforms how you interact with enterprise knowledge. Unlike traditional RAG (Retrieval-Augmented Generation) systems that only show current state, TeamLoop tracks how knowledge evolves over time.

The Problem with Traditional RAG

When you ask a traditional AI assistant about your codebase or documentation:

• You get today’s answer, not the full context
• You lose the “why” behind decisions
• You can’t understand what was known when past decisions were made
• Historical context is lost forever

TeamLoop’s Solution: Temporal Intelligence

TeamLoop introduces time-aware knowledge retrieval:

Feature	Traditional RAG	TeamLoop
Query Mode	Current state only	Current, as_of, evolution, compare
Decision Context	Lost over time	Preserved with lineage
Knowledge Structure	Flat documents	Connected knowledge graph
Source Attribution	Often missing	Always tracked
Version Tracking	Manual snapshots	Automatic temporal versioning

Core Concepts

Knowledge Graph

TeamLoop extracts and connects entities from your tools:

• Decisions - Architectural choices, policy changes, design decisions
• Documents - PRDs, ADRs, specs, meeting notes
• Changes - Commits, field updates, status changes
• People - Authors, reviewers, decision makers
• Components - Systems, services, modules
• Projects - Initiatives, features, workstreams

Temporal Versioning

Every piece of knowledge has temporal metadata:

• event_date - When the event actually occurred
• valid_from / valid_to - When this version of knowledge was current
• supersession - What this decision replaced and what replaced it

Query-First Architecture

TeamLoop doesn’t sync your data in the background. Instead:

1. You make a query
2. TeamLoop fetches fresh data from integrations
3. Results are cached with embeddings for future use
4. Knowledge graph grows organically from actual queries

Supported Integrations

TeamLoop connects to:

• GitHub - Issues, PRs, discussions, commits
• Notion - Pages, databases, comments
• Linear - Issues, projects, roadmaps

How It Works

┌─────────────┐    ┌─────────────┐    ┌─────────────┐
│   Claude    │◄──►│  TeamLoop   │◄──►│  Your Tools │
│  (via MCP)  │    │   Server    │    │ GitHub/etc  │
└─────────────┘    └──────┬──────┘    └─────────────┘
                         │
                         ▼
                  ┌─────────────┐
                  │  Knowledge  │
                  │    Graph    │
                  │ (PostgreSQL)│
                  └─────────────┘

1. Query: You ask Claude about your project
2. Fetch: TeamLoop queries your connected tools
3. Extract: Claude extracts entities and relationships
4. Store: Knowledge is versioned in the graph
5. Learn: Future queries benefit from accumulated knowledge

Next Steps

Ready to get started?

1. Quick Start Guide - Set up TeamLoop in minutes
2. MCP Setup - Configure your AI assistant
3. Query Playground - Learn temporal query modes