# Alchemyst AI Documentation

## Docs

- [Context Arithmetic](https://getalchemystai.com/docs/advanced/context-arithmetic.md): Understanding the foundational principles on which Alchemyst works
- [Overview](https://getalchemystai.com/docs/advanced/overview.md): Unlock the full potential of the Alchemyst Platform
- [Architecting Context-aware systems](https://getalchemystai.com/docs/advanced/realworld-use-cases.md): Use cases that leverage context arithmetic for building robust context aware AI systems.
- [Errors & Platform Limits](https://getalchemystai.com/docs/advanced/troubleshooting.md): Understanding common issues you might face, while building with Alchemyst
- [Usage Patterns Primer](https://getalchemystai.com/docs/advanced/usage-patterns.md): Advanced usage patterns to let you take full advantage of context arithmetic
- [User Profiling for AI Applications](https://getalchemystai.com/docs/advanced/user-profiling.md): Build AI systems that understand and adapt to individual users through intelligent memory and profiling.
- [Add context data to the context processor](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/add-async/post.md): This endpoint accepts context data and queues it for asynchronous processing by the context processor. It returns a success or error response depending on the queuing result.
- [List all ongoing context add jobs for the authenticated user](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/add-async/status/get.md): Returns all jobs (active, waiting, delayed, failed, completed) belonging to the authenticated user.
- [Cancel a context add job](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/add-async/{id}/cancel/delete.md): Attempts to cancel a context add job by job id. - If the job is already completed or failed, returns 404. - If the job is currently running ("active"), returns 409 and cannot be cancelled. - Only jobs in "waiting" or "delayed" state can be cancelled.
- [Get status of a context add job](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/add-async/{id}/status/get.md): Returns the status and result of a context add job by job id.
- [Add context data to the context processor](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/add/post.md): This endpoint accepts context data and sends it to a context processor for further handling. It returns a success or error response depending on the result from the context processor.
- [Delete context data](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/delete/post.md): This endpoint deletes context data based on the provided parameters. It returns a success or error response depending on the result from the context processor.
- [Add memory context data](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/memory/add/post.md): This endpoint adds memory (chat history) as context.
- [Delete memory context data](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/memory/delete/post.md): Deletes memory context data based on provided parameters.
- [Update memory context data](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/memory/update/post.md): This endpoint updates memory context data.
- [Search for context data in the context processor](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/search/post.md): This endpoint sends a search request to the context processor to retrieve relevant context data based on the provided query.
- [Retrieves a list of traces for the authenticated user](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/traces/get.md): Returns paginated traces for the authenticated user within their organization.
- [Delete a specific data trace](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/traces/{traceId}/delete/delete.md): Deletes a data trace for the authenticated user with the specified trace ID.
- [Retrieve user contexts by documents.](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/view/docs/get.md): Fetches documents view for authenticated user with optional organization context.
- [Retrieve user context](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/context/view/get.md): Gets the context information for the authenticated user.
- [View organization context](https://getalchemystai.com/docs/api-reference/endpoint/api/v1/org/context/view/post.md)
- [Introduction](https://getalchemystai.com/docs/api-reference/introduction.md): API documentation and reference
- [Overview](https://getalchemystai.com/docs/changelog/index.md): Latest platform updates and improvements.
- [Platform](https://getalchemystai.com/docs/changelog/platform/index.md): Latest features, improvements, and infrastructure updates to the Alchemyst platform.
- [How to get featured in Awesome‑SaaS](https://getalchemystai.com/docs/contribution/awesome-saas-repo.md): How community contributors can prepare and get their projects listed in the Awesome‑SaaS collection.
- [Contributing](https://getalchemystai.com/docs/contribution/contributing.md): Guide for contributing to our documentation
- [B2b newsletter writer](https://getalchemystai.com/docs/example-projects/community/b2b-newsletter-writer.md)
- [Company research](https://getalchemystai.com/docs/example-projects/community/company_research.md)
- [Discord bot](https://getalchemystai.com/docs/example-projects/community/discord-bot.md)
- [Prompt evaluator](https://getalchemystai.com/docs/example-projects/community/prompt-evaluator.md)
- [Introduction](https://getalchemystai.com/docs/example-projects/introduction.md)
- [CLI Agent](https://getalchemystai.com/docs/example-projects/team/cli-chatbot.md): Build a Context-Aware CLI tool that answers questions using stored context from Alchemyst and Gemini.
- [SyllabAI](https://getalchemystai.com/docs/example-projects/team/syllabai.md): Upload your syllabus and get personalized study assistance and Q&A
- [Zendocs](https://getalchemystai.com/docs/example-projects/team/zendocs.md): Put your SEO on AutoPilot with automated indexing
- [Get Started with Alchemyst](https://getalchemystai.com/docs/getting-started/index.md): Add context or memory to your AI applications
- [Contextual AI Agent](https://getalchemystai.com/docs/getting-started/quickstart.md): Build AI that answers from your documents in 10 minutes
- [Memory enabled Agent](https://getalchemystai.com/docs/getting-started/quickstart-memory.md): Build a RAG Agent enabled memory that remembers users across sessions in 15 minutes
- [Introduction - Alchemyst AI Docs](https://getalchemystai.com/docs/index.md): The universal context layer for your AI stack. Choose a path to start building.
- [Anthropic](https://getalchemystai.com/docs/integrations/context-proxy/anthropic.md): Proxy server for routing requests to Anthropic's LLM API
- [OpenAI](https://getalchemystai.com/docs/integrations/context-proxy/openai.md): Proxy server for routing requests to OpenAI LLM API
- [Amazon S3](https://getalchemystai.com/docs/integrations/data-sources/cloud-storage/amazon-s3.md): Connect Amazon S3 to your Alchemyst context layer
- [MongoDB Integration](https://getalchemystai.com/docs/integrations/data-sources/databases/Mongodb.md): Connect MongoDB databases to your Alchemyst context layer
- [PostgreSQL Integration](https://getalchemystai.com/docs/integrations/data-sources/databases/Postgresql.md): Connect PostgreSQL databases to your Alchemyst context layer
- [Google Docs](https://getalchemystai.com/docs/integrations/data-sources/docs/google-docs.md): Connect Google Docs to your Alchemyst context layer
- [Google Sheets](https://getalchemystai.com/docs/integrations/data-sources/docs/google-sheets.md): Connect Google Sheets to your Alchemyst context layer
- [Introduction](https://getalchemystai.com/docs/integrations/data-sources/introduction.md): Connect your databases, documents, and cloud storage to Alchemyst's context layer
- [Chrome](https://getalchemystai.com/docs/integrations/extensions/chrome.md): Use Alchemyst AI's memory inside AI models through our Chrome extension.
- [Integrations](https://getalchemystai.com/docs/integrations/introduction.md): Integrate Alchemyst's memory into your AI Stack
- [n8n Integration](https://getalchemystai.com/docs/integrations/no-code-tools/n8n.md): Keep Alchemyst memory in sync with simple no-code workflows
- [Python SDK](https://getalchemystai.com/docs/integrations/sdk/python-sdk.md): Get started with the Alchemyst Python SDK
- [Typescript SDK](https://getalchemystai.com/docs/integrations/sdk/typescript-sdk.md): Get started with the Alchemyst Typescript SDK
- [Agno Integration](https://getalchemystai.com/docs/integrations/third-party/agnoagi.md): Integrate Alchemyst's memory with Agno
- [Vercel AI SDK](https://getalchemystai.com/docs/integrations/third-party/aisdk.md): Integrate Alchemyst's memory with Vercel AI SDK
- [AI SDK Middleware](https://getalchemystai.com/docs/integrations/third-party/aisdk/middleware.md): Integrate Alchemyst's memory management as middleware with Vercel AI SDK
- [AI SDK Tools](https://getalchemystai.com/docs/integrations/third-party/aisdk/tools.md): Integrate Alchemyst's tools and context management with Vercel AI SDK
- [Integrations](https://getalchemystai.com/docs/integrations/third-party/introduction.md): Integrate Alchemyst's memory into your AI Stack
- [Langchain JS Integration](https://getalchemystai.com/docs/integrations/third-party/langchain/js.md): Integrate Alchemyst's memory with Langchain in JS/TS
- [Langchain Python Integration](https://getalchemystai.com/docs/integrations/third-party/langchain/python.md): Integrate Alchemyst's memory with Langchain in Python
- [LLaMAIndex JS Integration](https://getalchemystai.com/docs/integrations/third-party/llamaindex/js.md): Integrate Alchemyst's memory with LLaMAIndex in JS/TS
- [LLaMAIndex Integration](https://getalchemystai.com/docs/integrations/third-party/llamaindex/python.md): Integrate Alchemyst's memory with LLaMAIndex in Python
- [Claude Desktop](https://getalchemystai.com/docs/mcps/claude-desktop.md): Configure Claude Desktop MCP with Alchemyst AI
- [Cursor](https://getalchemystai.com/docs/mcps/cursor.md): Configure Cursor MCP with Alchemyst AI
- [MCPs and Context](https://getalchemystai.com/docs/mcps/introduction.md): MCP Compatibility: How Tools Connect to Alchemyst
- [MCPs](https://getalchemystai.com/docs/mcps/mcps.md): Integrate our context processor MCP across popular tools
- [Visual Studio Code](https://getalchemystai.com/docs/mcps/visual-studio-code.md): Configure Visual Studio Code MCP with Alchemyst AI
- [Self Hosting](https://getalchemystai.com/docs/self-hosting/self-hosting.md): > Deploy your own instance of Alchemyst AI on-premise for enterprise-grade security and control
- [Chrome Extension](https://getalchemystai.com/docs/tutorials/chrome-extension.md): Adding the Alchemyst AI - Chrome Extension for AI Models.
- [Alchemyst MCP Server](https://getalchemystai.com/docs/tutorials/mcp-setup.md): Adding the Alchemyst MCP Server to Github Copilot in VS Code
- [Migrating from Mem0.ai to Alchemyst AI](https://getalchemystai.com/docs/tutorials/mem0-migration.md): Export memories from Mem0.ai and import them into Alchemyst AI with one script or detailed steps.
- [Integrating Alchemyst ai with n8n](https://getalchemystai.com/docs/tutorials/n8n-automation.md): Store and search data in Alchemyst using n8n workflows
- [AI Agent with Python SDK](https://getalchemystai.com/docs/tutorials/python-agent.md): Learn how to build a context-aware AI CLI agent using the Alchemyst Python SDK
- [AI Agent with TypeScript SDK](https://getalchemystai.com/docs/tutorials/typescript-agent.md): Learn how to build an end-to-end CLI AI Agent using the Alchemyst TypeScript SDK

## OpenAPI Specs

- [openapi](https://getalchemystai.com/docs/api-reference/openapi.json)

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