https://catalogartifact.azureedge.net/publicartifacts/rippletide.cb683df6-3965-41fb-b79c-d3f72362ced1-7971c0c0-e085-4ccc-b23f-a383f04cb4d5/image2_logo.png
Rippletide Context Graph
pateikė Rippletide
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Context Graph: Bring the right context for a more predictable agent
Rippletide Context Graph
The Context Graph is a persistent context graph that gives your AI agents memory across conversations.
When to use it
- Your agent needs to recall past interactions or user preferences
- RAG doesn't find the right data, even after many iterations it is stil plateuing
- Your agent hallucinates since it doesn't have the elements to answer
- You don't want each new session to start from zero, you need previous decisions made and context established
- You want to plug memory into any MCP-compatible client (Cursor, Claude, VS Code)
What the Context Graph does
The Context Graph is a structured, persistent knowledge store that sits behind your Azure AI agent. It stores facts, decisions, preferences, and entity relationships as a queryable graph — far more powerful than simple RAG or flat conversation history. Your agent automatically calls memory tools during conversations (remember, recall, relate, invalidate) with no manual wiring required.
Key features
- Native MCP integration: plug into GitHub Copilot, VS Code AI extensions, and Azure-hosted agents
- 7 MCP tools: remember · recall · get_context · list_entities · relate · invalidate · switch_agent
- Structured entity types that adapt to your use case: Person, Organization, Product, Decision, Action, Concept, Location...
- Typed relationships that adapt to your use case: works_at, approved, declined, resulted_in, caused, and more
- Isolated graphs per agent: memories from one Azure workload never leak into another
- Confidence scoring: hard facts (1.0) vs. inferred context (0.5–0.8)
- Full explainability: invalidate stale memories without deleting history - full traceability
- Versioned data modifications to keep track
Who it's for
- Microsoft ISVs and Azure-native SaaS teams building AI agents
- Enterprise developers extending GitHub Copilot or Microsoft 365 Copilot with long-term memory
- Azure AI Studio teams adding structured context to their agent pipelines
How to get started
- Sign up at app.rippletide.com
- Add the Rippletide MCP server to your Azure agent or VS Code config (one JSON block)
- Paste the system prompt into your agent
- Your agent starts remembering - automatically, across every session
Works with: GitHub Copilot · VS Code · Azure AI Studio · Azure OpenAI Service · any MCP-compatible client
Trumpa apžvalga
https://catalogartifact.azureedge.net/publicartifacts/rippletide.cb683df6-3965-41fb-b79c-d3f72362ced1-7971c0c0-e085-4ccc-b23f-a383f04cb4d5/image4_screenshot.png
https://catalogartifact.azureedge.net/publicartifacts/rippletide.cb683df6-3965-41fb-b79c-d3f72362ced1-7971c0c0-e085-4ccc-b23f-a383f04cb4d5/image0_screenshot.png
https://catalogartifact.azureedge.net/publicartifacts/rippletide.cb683df6-3965-41fb-b79c-d3f72362ced1-7971c0c0-e085-4ccc-b23f-a383f04cb4d5/image5_screenshot.png
https://catalogartifact.azureedge.net/publicartifacts/rippletide.cb683df6-3965-41fb-b79c-d3f72362ced1-7971c0c0-e085-4ccc-b23f-a383f04cb4d5/image6_screenshot.png