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Track the evolution of Alchemyst’s context and memory platform. From performance optimizations to new integrations, see what’s new and how we’re making AI context more powerful and accessible.

1 September 2026

MCP — 3 New Memory Tools & OAuth What’s new:
  • Memory lifecycle via MCP — 3 new tools at https://mcp.getalchemystai.com/mcp:
    • alchemyst_ai_memory_add — store conversation history (sessionId + contents + groupName)
    • alchemyst_ai_memory_update — update existing session memory
    • alchemyst_ai_memory_delete — delete by memoryId
    • Also alchemyst_ai_memory_search for recall and alchemyst_ai_delete_context for removing context by source
  • All memory operations work from Claude Desktop, Cursor, VS Code, or any MCP client — no need to call the REST API directly. See MCP docs.
What changed:
  • Authentication — MCP now uses OAuth 2.1 (Authorization Code + PKCE) with short-lived JWTs. You sign in once with your Alchemyst API key at the hosted login page — the key is verified against the backend and a scoped token is issued for MCP. This replaces putting the API key directly in your MCP config.
  • Transport — Upgraded to Streamable HTTP with per-session handling for reliable connections across clients and standard OAuth discovery.

4 July 2026

Steering API — POST /api/v1/context/search/steer What’s new:
  • New endpoint POST /api/v1/context/search/steer (steerUserContext) — search + LLM synthesis in a single call. Performs a context search, joins all matching chunks into one string, and sends that context plus your query to an LLM for a grounded natural-language answer.
  • steeringPrompt field to control answer shape/format — e.g., Return only the basic details of the person in a structured JSON schema with the fields "name", "status", "location" or answer in one sentence
  • Query flags ?mode=fast|standard (default standard) and ?context=true (default false) — when true, response also includes the joined context string used to ground the answer, plus model and token usage (inputTokens, outputTokens, totalTokens)
What changed:
  • You can now get a grounded answer directly without a separate generation step after search
  • Supports the same filtering as Search: query (required), similarity_threshold / minimum_similarity_threshold (required), scope (internal | external), and body_metadata (fileName, groupName, lastModifiedAt, etc.)
  • Documented at POST /api/v1/context/search/steer.

31 January 2026

Data Sources Documentation What’s new:
  • Cleaner, more focused database integration guides
What changed:
  • Streamlined MongoDB and PostgreSQL documentation by removing redundant examples
  • Improved overall readability and structure across all data source integration guides
  • Made documentation more beginner-friendly with simplified explanations

17 January 2026

Third-party Integrations: Vercel AI SDK What’s new:
  • Vercel AI SDK integration with full middleware support
  • Comprehensive examples for real-world use cases (user preferences, personalized chat, streaming, bulk operations)
What changed:
  • Renamed conversationId → sessionId across all integrations for better API consistency
  • Added batching support and performance optimization guides for large-scale operations

15 January 2026

Advanced Usage Documentation What’s new:
  • Enhanced user profiling documentation with advanced patterns
  • New code examples for user-specific context management
What changed:
  • Restructured advanced features section for easier navigation
  • Expanded best practices with production-ready examples
  • Improved documentation discoverability

Recent Platform Updates

18 December 2025

Platform Revamp What’s new:
  • Completely redesigned UI and Playground experience
  • Playground now supports direct data uploads and experimentation
  • Magic keys integration in the Playground interface
What changed:
  • Streamlined navigation and workflows across the entire platform
  • Playground evolved from a simple chat interface to a full experimentation environment
  • Faster iteration cycles without leaving the Playground

12 December 2025

Ingestion Performance & Reliability What’s new:
  • Asynchronous ingestion routes with job queue backing
  • Non-blocking upload capabilities
What changed:
  • Upload operations no longer block other processes
  • Dramatically improved throughput under heavy load
  • More stable system performance during peak usage

3 December 2025

Context Sharing What’s new:
  • Magic keys for sharing context without duplication
  • Read-only sharing capabilities
What changed:
  • No need to re-ingest data when sharing with team members
  • Recipients automatically get read-only access via magic key
  • Simplified collaboration workflows

27 November 2025

Context Visualization What’s new:
  • Dual-view context graph visualization
  • Interactive graph editing capabilities
  • Group-name based clustering
What changed:
  • Added Document view to explore context by source documents
  • Added Node view to inspect individual context relationships
  • Can now edit and delete nodes directly from the graph
  • Changes reflect instantly across all connected context

8 November 2025

Namespaces What’s new:
  • Namespaces for logical data boundaries
  • Multi-tenant and multi-project support
What changed:
  • Data can now be organized under named namespaces
  • More precise context retrieval through namespace scoping
  • Better isolation for enterprise and team workflows

21 October 2025

Context Retrieval What’s new:
  • Completely overhauled context processor
What changed:
  • ~71% faster ranked retrieval (from ~7s to ~2s for 10k data points)
  • ~57% faster fast-mode retrieval (from ~400ms to ~170ms at p50)
  • More efficient retrieval algorithms under the hood

6 October 2025

SDK Release What’s new:
  • Official TypeScript SDK
  • Official Python SDK
What changed:
  • Unified API for context ingestion, retrieval, and memory management
  • Drop-in integration support for popular agent frameworks
  • Developer-friendly API design optimized for quick adoption

The Journey So Far

From October 2025 through early 2026, Alchemyst evolved from foundational data infrastructure into a production-ready context and memory layer for modern AI applications. Key achievements:
  • 10x faster retrieval through optimized processors and caching
  • Expanded integration ecosystem with native SDK support and framework integrations
  • Enhanced developer experience with intuitive UI, comprehensive docs, and powerful debugging tools
  • Enterprise-ready features including namespaces, magic keys, and robust async ingestion
We’re just getting started. More updates coming soon.