> ## Documentation Index
> Fetch the complete documentation index at: https://docs.negentro.tech/llms.txt
> Use this file to discover all available pages before exploring further.

# Integrations Overview

> Connect PiyAPI with agent frameworks, AI SDKs, voice platforms, data connectors, developer tools, and infrastructure for persistent memory across workflows.

PiyAPI integrates with the tools used to build modern AI applications, allowing persistent memory and context to become part of existing workflows.

* Persistent context across frameworks
* Consistent memory across AI interactions
* Context-aware agent workflows
* Framework-specific development patterns
* Simple integration through SDKs and APIs

## Benefits

* **Persistent memory** across supported frameworks
* **Context retrieval** inside existing agent workflows
* Consistent **user and session context**
* **Framework-agnostic** memory infrastructure
* Simple **SDK and API-based** integration

<Info>
  ### Universal integration

  Use PiyAPI through a standardized API layer when your workflow does not require a framework-specific integration.
</Info>

## Agent Frameworks

<CardGroup cols={2}>
  <Card title="AgentOps" icon="activity">
    Monitor agent workflows while retaining relevant memory and context across interactions.
  </Card>

  <Card title="Camel AI" icon="robot">
    Connect persistent context to multi-agent workflows.
  </Card>

  <Card title="LangChain" icon="link">
    Add persistent memory and context to LangChain-based applications using `packages/langchain-adapter`.
  </Card>

  <Card title="LlamaIndex" icon="database">
    Connect persistent memory with retrieval and data workflows.
  </Card>

  <Card title="AutoGen" icon="users">
    Build agent workflows that can retain context across interactions.
  </Card>

  <Card title="CrewAI" icon="users-gear">
    Give multi-agent workflows a shared, persistent context graph (PiyGraph).
  </Card>

  <Card title="LangGraph" icon="diagram-project">
    Connect persistent memory to LangGraph workflows.
  </Card>

  <Card title="Dify" icon="wrench">
    Add long-term context to applications built with Dify.
  </Card>

  <Card title="ChatDev" icon="comments">
    Add persistent context to collaborative AI workflows.
  </Card>

  <Card title="Agno" icon="microchip">
    Connect persistent context to Agno-based workflows.
  </Card>
</CardGroup>

## AI SDKs

<CardGroup cols={2}>
  <Card title="Vercel AI SDK" icon="zap">
    Use PiyAPI alongside the Vercel AI SDK.
  </Card>

  <Card title="PiyAPI SDK" icon="box">
    Add bitemporal memory and context to native agent workflows using `@piyapi/sdk`.
  </Card>

  <Card title="Google ADK" icon="brand-google">
    Connect PiyAPI memory with Google agent development workflows.
  </Card>
</CardGroup>

## Voice & Real-Time

<CardGroup cols={2}>
  <Card title="LiveKit" icon="phone">
    Connect persistent context to real-time voice workflows.
  </Card>

  <Card title="Pipecat" icon="wave-square">
    Build real-time agent workflows with memory.
  </Card>

  <Card title="ElevenLabs" icon="microphone">
    Use persistent memory in conversational voice applications.
  </Card>
</CardGroup>

## Data Connectors

<CardGroup cols={2}>
  <Card title="Notion" icon="file-text">
    Continuous Change Data Capture for Workspace pages and databases.
  </Card>

  <Card title="Google Drive" icon="hard-drive">
    Sync context directly from Docs, Sheets, and Slides.
  </Card>

  <Card title="GitHub" icon="github">
    Extract context from Repositories, Issues, PRs, and Commits.
  </Card>

  <Card title="Slack" icon="message-circle">
    Ingest thread history and channel conversations.
  </Card>

  <Card title="Jira & Confluence" icon="ticket">
    Track enterprise tickets and knowledge base articles.
  </Card>
</CardGroup>

## Developer Tools

<CardGroup cols={2}>
  <Card title="LangChain Tools" icon="wrench">
    Connect memory to tool-driven agent workflows.
  </Card>

  <Card title="Model Context Protocol (MCP)" icon="server">
    Connect Cursor, Windsurf, and Claude Desktop to PiyAPI natively via `@piyapi/mcp-server`.
  </Card>

  <Card title="REST API" icon="globe">
    Direct programmatic access to bitemporal graphs and context retrieval.
  </Card>

  <Card title="Webhooks" icon="webhook">
    Real-time HTTP POST callbacks for memory creation and connector sync events.
  </Card>
</CardGroup>

## Infrastructure

<CardGroup cols={2}>
  <Card title="AWS Bedrock" icon="cloud">
    Use PiyAPI alongside AWS model and agent infrastructure.
  </Card>

  <Card title="BYOK Managers" icon="key">
    Route generation natively through OpenAI, Anthropic, Gemini, DeepSeek, Mistral, Groq, Cohere, and Perplexity.
  </Card>

  <Card title="PostgreSQL & pgvector" icon="database">
    Enterprise-grade bitemporal storage substrate and dense vector indexes.
  </Card>

  <Card title="Redis" icon="database-zap">
    Ultra-low latency semantic caching layers.
  </Card>
</CardGroup>

<Tip>
  ### Don't see your integration?

  Connect PiyAPI through the API or build an integration for your workflow.

  [Explore the API →](/api-reference/overview)
</Tip>


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