> ## Documentation Index > Fetch the complete documentation index at: https://docs.getcore.me/llms.txt > Use this file to discover all available pages before exploring further. # Changelog > Product updates and announcements ## New Features **Run CORE in your environment (Gateway)** * You can now run tools through a self-hosted Gateway, so CORE can take actions inside your network and with your local setup. * This also unlocks longer-running workflows that can continue in the background instead of timing out mid-run. **Email + WhatsApp are now first-class channels** * CORE’s email and WhatsApp handling is now built on a unified “channel” system, so message delivery, history, and follow-ups behave more consistently across surfaces. * This is the foundation for doing the same across more channels going forward. **Talk to CORE in Slack (DMs, channels, and threads)** * You can now use CORE from Slack via DMs and channel mentions. * Threads are tracked as separate conversations, which keeps context clean when multiple topics are happening in the same channel. **Separate work and personal (Multiple workspaces)** * You can now create multiple workspaces under one account to keep different contexts (work, personal, clients) cleanly separated. **New integrations: Jira/Confluence, Ghost, LinkedIn, and Codeberg** * **Atlassian (Jira + Confluence):** Connect via OAuth and let CORE pull in tickets, docs, and knowledge without manual copy/paste. * **Ghost:** Manage posts/pages/tags via the Ghost Admin API so publishing workflows can be automated. * **LinkedIn:** Fetch profile and activity context for networking and outreach workflows. * **Codeberg:** A Git-hosting integration with growing parity to GitHub (issues, PRs, labels, and repo content). **Skills: reusable workflows, not one-off prompts** * CORE can now run “skills” — structured, reusable workflows — so common tasks (research, outreach, triage, recurring ops) become repeatable playbooks. ## Performance & Reliability * **Slack webhooks:** Slack DM bot verification now runs asynchronously, avoiding Slack’s 3-second timeout failures. * **Reminders:** Reminder execution was refactored onto a centralized pipeline for more consistent scheduling and delivery. ## Improvements * **GitHub + Codeberg automation:** Better automation parity (including richer issue creation flows and more repo operations) so agents can complete tasks without manual cleanup. * **Search V2 (multi-workspace):** Workspace resolution was hardened so search returns results reliably in multi-workspace setups. * **Timezone correctness:** Agent datetime context now respects the user’s timezone, reducing “wrong day / wrong time” outcomes. * **Setup clarity:** Added concrete ingestion rule examples across integrations so initial configuration is less guessy. ## Fixes * **Channels:** Fixed cases where creating a conversation failed for external channels (including email edge cases). * **Slack:** Fixed broken inbound Slack processing. * **OAuth:** Fixed PKCE handling for OAuth flows. * **Gateway:** Fixed browser handoff failures during gateway-driven browser flows. * **Search V2:** Fixed exploratory search returning nothing when label routing didn’t find a match. ## Security & Privacy * **Skills:** Prevented skill documents from being exposed via the document APIs. ## 🎯 New Features **Claude Code Plugin** * Native CORE integration for Claude Code via MCP * Access your memory and take actions directly from your terminal * Seamlessly connect CORE's knowledge graph to your coding workflow **Memory Search Agent** * Advanced v2 search powered by an intelligent agent orchestrator * Faster, more precise retrieval from your knowledge graph * Better understanding of complex queries with multi-step reasoning **New Integrations** * **Todoist**: Task management actions from any AI agent * **Google Tasks**: Manage to-dos across Google Workspace * Auto-create Google integrations on signup for faster setup **CORE SDK** * Build custom integrations and tools on top of CORE * Programmatic access to memory, search, and actions * Extend CORE's capabilities for your specific workflows **Aspect-Based Persona Generation** * Smarter user profiles that understand context across 11 aspects * More accurate representation of your work patterns and preferences * Better AI responses tailored to how you actually work ## ⚡ Performance & Reliability * **Faster Search**: Agent orchestrator architecture for 2-3x speed improvement * **Optimized Knowledge Graph**: Enhanced entity resolution and relationship mapping * **Better Session Compaction**: Improved prompt compression for efficient memory storage * **Vector Similarity Ordering**: More relevant results from semantic queries ## 🔧 Improvements * **Simpler Onboarding**: Streamlined setup flow with fewer steps * **Multiple Tool Approval**: Handle batch tool requests in a single approval flow * **Better Slack Handling**: Support for multiple account events and message arrays * **Enhanced Authentication**: Clearer completion messages and status updates * **Webhook Raw Events**: Access to raw event data for custom processing ## 🐛 Fixes * Resolved 502 errors from synchronous integration tool execution * Fixed persona document ingestion log handling * Corrected onboarding agent ID passing * Fixed search v2 error handling * Resolved document editing assertion issues * Fixed Gmail thread userId parameter * Corrected session compaction sessionId handling * Fixed documentId vs sessionId confusion * Improved Google OAuth scope handling ## 🎯 New Features **Labels System (Migration from Neo4j to Postgres)** * Labels now stored in Postgres for faster access and updates * Document table as single source of truth for better consistency * Improved label assignment and management across workspace **GitHub Analytics Integration** * Track DORA metrics (deployment frequency, lead time, change failure rate, MTTR) * Engineering insights and productivity analytics * Date range comparisons and period-over-period analysis **Linear & Slack MCP Integrations** * Native Linear issue management via MCP * Slack messaging and channel actions through MCP * Unified access across all your AI agents **Episode-Level Vector Search** * Improved handling of broad, exploratory queries * Search entire conversation episodes for better context * Enhanced recall quality for complex information needs **One-Click Railway Deployment** * Self-host CORE with a single click * Official Railway deployment support * Production-ready configuration out of the box ## ⚡ Performance & Reliability * **Persona Generation Migration**: Moved to Postgres for faster profile updates * **Knowledge Graph Improvements**: More relationship-focused structure * **Vector Storage Enhancements**: Added ingestionQueueId, labelIds, sessionId tracking * **Dual-Queue System**: Trigger.dev + BullMQ for reliable integration execution ## 🔧 Improvements * **Alfred Persona**: Enhanced agent system prompt for more natural conversations * **Session & Episode Deletion**: Full control over conversation history * **Simplified Logs**: Cleaner, more readable activity tracking * **Proactive AI**: Chat prompts emphasize cross-tool intelligence and temporal awareness * **Mobile UI**: Improved Gmail integration page responsiveness ## 🐛 Fixes * Fixed ingestion queue deletion cascades * Resolved document update latency issues * Corrected Zoho integration authentication * Fixed PostHog proxy connection errors * Resolved Python 3.9 datetime parsing compatibility * Fixed new conversation integration failures * Corrected GitHub analytics date filtering ## 🔒 Security & Privacy * **Better Data Isolation**: Improved workspace and label scoping * **Enhanced OAuth Flows**: More secure Google integration setup * **MCP Session Handling**: Proper namespace isolation and sessionId management ## 🎯 New Features **Google Workspace Integrations** * **Gmail**: Read, search, and send emails from any AI agent * **Google Sheets**: Update spreadsheets and analyze data * **Google Docs**: Access and edit documents programmatically **User Persona v0** * AI-generated user profiles based on your memory and conversations * Automatically surfaces your preferences, patterns, and work style * Helps AI agents provide more personalized and contextual responses **17+ New AI Provider Integrations** * Codex, Gemini CLI, Windsurf, ChatGPT, and 13 more providers * Connect CORE memory to your preferred AI tools * Unified onboarding flow for faster provider setup **Additional Integrations** * **Zoho Mail**: Email management for Zoho users * **Notion**: Access workspace pages and databases * **Cal.com**: Calendar scheduling and meeting management **Session Compaction** * Automatically compress conversations after 3 exchanges * Preserve important context while reducing memory footprint * Smarter long-term recall without losing key information **Reranking Model** * Advanced reranking for more precise episode retrieval * Better result ordering based on semantic relevance * Improved search quality across all query types ## ⚡ Performance & Reliability * **Optimized Ingestion**: Faster document processing and knowledge graph updates * **Entity Deduplication**: Exact name matching before LLM resolution (2-3x faster) * **Vector Search Optimization**: Improved candidate retrieval across all graph models * **Episode Retrieval**: Exclude embeddings from queries for faster results * **GDS Cosine Similarity**: Replaced vector index queries for better performance ## 🔧 Improvements * **Mobile-Friendly Product**: Fully responsive interface for mobile devices * **Enhanced Onboarding**: Added skip button and improved flow persistence * **Recency Sorting**: Time-based filtering and entity-based search * **MCP Specification Compliance**: More complete and standards-compliant MCP server * **GitHub Community Manager Skill**: Pre-built skill for community management workflows ## 🐛 Fixes * Fixed persona generation threshold checking * Resolved integration tool failures * Corrected episode and document deletion handling * Fixed recall deduplication issues * Resolved embedding size validation * Fixed document title regeneration * Corrected label assignment in persona generation * Fixed session compaction timing * Resolved OAuth2 form responsiveness * Fixed domain cookie handling for the non-HTTPS * Corrected MCP session\_id failures ## 🎯 New Features **Deep Search** * Advanced search capability for Browser Extension and Obsidian * Surface insights from your memory with greater precision and context * Connect related information across different sources more effectively **Account Management 2.0** * Once-click full account deletion with complete data cleanup * Automatic removal of all data from both **PostgreSQL** and **Neo4j** graph databases * Peace of mind with complete data control and privacy management **Enhanced Onboarding** * New guided flow for faster setup and first memory ingestion * Direct integration setup via **MCP configuration links** **Session Compaction for Smarter Memory** * Automatically summarizes long conversations for efficient memory storage * Compacted sessions now appear in search with Markdown formatting * Improves long-term recall without losing important context **AWS Bedrock Support** * Connect your own AWS Bedrock account for AI model access * Choose from Claude, Titan, and other AWS models * Greater flexibility in model selection and deployment options ## ⚡ Performance & Reliability **Faster, more stable experience** * **Improved Search Quality**: Structured, faster, and more relevant results * **Optimized Graph Performance**: Reduced iterations for quicker retrieval * **Better Memory Recall**: Session compaction models improve long-term context retention * **Streamlined Credit Management**: Proper error handling when credits are exhausted ## 🔧 Improvements * **Labels** (Migration from Spaces): * Complete migration from Spaces to Labels organizational model * Workspace-scoped labels with Linear-style tagging * Labels stored in PostgreSQL, scoped by workspace * Episodes now use `labelIds` array instead of `spaceIds` * Multiple labels can be assigned to any episode * Simplified label management via web interface and API * **MCP Tooling**: * Clear error messages when credits run low * Improved tool descriptions for better AI assistant understanding * Resolved profile summary edge cases affecting MCP connections ## 🐛 Fixes * Fixed API key deletion not working properly * Resolved document view breaking in log viewer * Fixed semantic search inconsistencies affecting result quality * Resolved login attribute conflicts in authentication flow * Fixed graph visualization issues in Chrome 140 * Corrected ingestion queue handling for deleted episodes * Fixed MCP tool call failures for (`get_user_profile`) * Resolved label description validation blocking label creation ## 🔒 Security & Privacy **Data protection updates** * **Complete Account Wipe**: Account deletion now removes all traces from both relational and graph databases * **Cascade Delete Logic**: Simplified deletion flows with proper relationship cleanup for users and workspaces * **Neo4j Graph Cleanup**: Automated cleanup of knowledge graph nodes when deleting accounts * **Proper Resource Cleanup**: Removes all associated API keys, labels, and episodes ## 🎯 New Features **Documents in Knowledge Graph** * Full document context now stored in the knowledge graph * Better relationship mapping between documents and conversations * Enhanced cross-document search and recall **Space Summaries by Topics** * Automatically generated topic summaries for your workspaces * Quick overview of key themes and concepts in each space * Easier navigation through large knowledge bases **User Profile Memory Tool** * MCP tool for accessing user profile information * AI agents can understand user profile information * More personalized responses across all connected tools **Enhanced Onboarding** * Save and persist onboarding answers * Improved loading states and user feedback * Faster time-to-first-memory ## ⚡ Performance & Reliability * **Optimized Entity Extraction**: Enhanced prompts for better entity recognition * **Chunking Improvements**: Reduced chunk size to 1-3k tokens for better precision * **Simplified Entity Resolution**: Type-free handling for faster processing * **Increased Reranking Threshold**: Better filtering of low-quality results ## 🔧 Improvements * **Activity UI Refresh**: Cleaner activity tracking interface * **Document Logs Enhancement**: New API for episode deletion ## 🐛 Fixes * Fixed graph visualization issues in Chrome 140 * Resolved deleted episode ingestion queue handling * Corrected MCP tool descriptions * Fixed invalidated statement search queries * Various onboarding and UI fixes ## 🎯 New Features **Capabilities users can now access** **Organization** (Note: This feature evolved into Labels in later releases) * Organize your memory into project-specific contexts (Health, Personal, Work, Client Projects) * Share memory contexts with team members for collaborative AI assistance * Default user profile context with seamless node linking across projects **Enhanced Logging & Monitoring** * New logs UI for tracking memory ingestion and retrieval * Real-time visibility into MCP connections and integration status MCP Hub * Debug memory operations and optimize your workflow efficiency **Simplified Docker Deployment** * One-command self-hosting setup with improved configuration * Better network isolation and service management ## ⚡ Performance & Reliability **Faster, more stable experience** * **Improved Recall Efficiency**: Significantly better fact retrieval and relevance scoring * **Enhanced MCP Server Stability**: Resolved mid-flight stream failures and connection drops * **Better Connection Management**: 60-second ping intervals to maintain persistent connections * **Streamlined Integration Processing**: Faster webhook event handling and memory updates ## 🔧 Improvements **Enhanced existing functionality** * **Enhanced MCP OAuth Scopes**: Better integration support for Windsurf and other coding tools * **Refined Facts Page UI**: Improved label-specific fact browsing and search * **Optimized Memory Tools**: Better source tracking and metadata preservation * **Unified MCP Server**: Single server instance handling all integrations for improved performance ## 🐛 Fixes **Resolved issues affecting user experience** * Fixed MCP server stream failures that interrupted AI client connections * Resolved OAuth scope issues affecting Windsurf integration * Corrected source attribution problems in memory tools * Fixed facts page access issues for label-specific content * Resolved database dependency conflicts in trigger service deployment ## 🔒 Security & Privacy **Data protection updates** * **Enhanced OAuth Security**: Improved token management and scope validation * **Better Integration Isolation**: Cleaner separation between different app connections * **Secure Memory Attribution**: Proper source tracking without exposing sensitive metadata ## 🎯 New Features **Capabilities users can now access** **Browser Extension** * Seamlessly capture and organize web content directly into your CORE memory * Right-click context menus for instant memory ingestion * Never lose important research or documentation again **OAuth Integration Hub** * One-click authentication for Linear, Slack, GitHub, and Notion * Connect your tools once, access them everywhere across AI clients * Eliminate repetitive app authentication across different AI platforms **MCP Integration Hub** * Transform CORE into your universal MCP gateway * Connect apps once to CORE, then share access with Claude, Cursor, and other AI clients * Multiplier effect: N apps × M clients through single authentication point **Activity-to-Memory Ingestion** * Automatic capture of assigned Linear issues, Slack mentions, and GitHub activity * Set custom rules for what gets remembered from your connected apps * Your AI tools now have context about your actual work, automatically **Enhanced Knowledge Graph Architecture** * Temporal knowledge graph with reified statements as first-class objects * Every piece of information includes provenance and meta-knowledge * Living memory that evolves with your projects and preferences ## ⚡ Performance & Reliability **Faster, more stable experience** * **Improved Memory Ingestion Speed**: Faster processing of large documents and web pages * **Enhanced Graph Relationships**: More efficient storage and retrieval of connected information * **Streamlined Episode Management**: Better handling of conversation context and memory episodes ## 🔧 Improvements **Enhanced existing functionality** * **Refreshed UI Components**: Cleaner, more intuitive interface design * **Enhanced Loading Transitions**: Smoother user experience during memory operations * **Improved Integration Flows**: More reliable authentication and connection setup * **Better Docker Support**: Simplified containerization for self-hosted deployments ## 🐛 Fixes **Resolved issues affecting user experience** * Fixed fresh installation failures affecting new user onboarding * Resolved Docker build workflow issues for self-hosted deployments * Corrected activity flow and invalidation logic in knowledge graph * Fixed UI component rendering issues across different browsers