Changelog

​

New Features

• 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.

• 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.

• 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.

• You can now create multiple workspaces under one account to keep different contexts (work, personal, clients) cleanly separated.

• 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).

• 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

• 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

• 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

• 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

• Build custom integrations and tools on top of CORE
• Programmatic access to memory, search, and actions
• Extend CORE’s capabilities for your specific workflows

• 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 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

• Track DORA metrics (deployment frequency, lead time, change failure rate, MTTR)
• Engineering insights and productivity analytics
• Date range comparisons and period-over-period analysis

• Native Linear issue management via MCP
• Slack messaging and channel actions through MCP
• Unified access across all your AI agents

• Improved handling of broad, exploratory queries
• Search entire conversation episodes for better context
• Enhanced recall quality for complex information needs

• 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

• Gmail: Read, search, and send emails from any AI agent
• Google Sheets: Update spreadsheets and analyze data
• Google Docs: Access and edit documents programmatically

• 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

• Codex, Gemini CLI, Windsurf, ChatGPT, and 13 more providers
• Connect CORE memory to your preferred AI tools
• Unified onboarding flow for faster provider setup

• Zoho Mail: Email management for Zoho users
• Notion: Access workspace pages and databases
• Cal.com: Calendar scheduling and meeting management

• Automatically compress conversations after 3 exchanges
• Preserve important context while reducing memory footprint
• Smarter long-term recall without losing key information

• 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

• 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

• 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

• New guided flow for faster setup and first memory ingestion
• Direct integration setup via MCP configuration links

• 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

• 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

• 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

• 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

• Full document context now stored in the knowledge graph
• Better relationship mapping between documents and conversations
• Enhanced cross-document search and recall

• Automatically generated topic summaries for your workspaces
• Quick overview of key themes and concepts in each space
• Easier navigation through large knowledge bases

• MCP tool for accessing user profile information
• AI agents can understand user profile information
• More personalized responses across all connected tools

• 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

• 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

• New logs UI for tracking memory ingestion and retrieval
• Real-time visibility into MCP connections and integration status
• Debug memory operations and optimize your workflow efficiency

• One-command self-hosting setup with improved configuration
• Better network isolation and service management

​

⚡ Performance & Reliability

• 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 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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

• 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