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CERID

Privacy-first AI knowledge companion. Your data stays yours.

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© 2026 Cerid AI. All rights reserved.

Changelog

A running log of what we ship. Each phase represents a focused sprint of improvements to retrieval, agents, UX, or infrastructure.

Apr 2026Phase v0.83.0Verification

Verification Hardening + Memory Efficacy

  • Expert verification mode with frontier model re-verification for high-stakes claims
  • Source-aware external query construction across 7 data sources with per-source relevance tuning
  • CRAG retrieval quality gate — supplements with external sources when KB results are poor
  • Verified-fact-to-memory promotion — high-confidence claims auto-promote to empirical memories
  • 15-bug structural fix sprint — embedding singleton, healthcheck rewrite, verification wiring
  • Major dependency upgrades: langgraph 1.1, neo4j 6.1, TypeScript 6.0, Vite 8
Mar 2026Phase 51Memory

Memory Salience Improvements

  • 6-type memory classification (empirical, decision, preference, project_context, temporal, conversational)
  • Per-type decay models: power-law for decisions, exponential for conversations, no decay for empirical facts
  • Recency-weighted access counts with reinforcement
  • Source authority weighting (user-stated > LLM-extracted > web search)
  • Migration tooling for existing knowledge bases
Mar 2026Phase 50Workflows

Visual Workflow Builder

  • DAG execution engine with cycle detection
  • SVG canvas with drag-to-reposition and type-colored nodes
  • 4 built-in workflow templates
  • Live execution status tracking
Mar 2026Phase DDesktop

Electron Desktop App

  • Native macOS + Windows packaging
  • Docker lifecycle management from within the app
  • System tray integration and auto-updater
Mar 2026Phase A-CPlatform

Platform Foundation

  • Unified Docker Compose with first-run setup wizard
  • BYOK model configuration with 5 provider support
  • Web search fallback with auto-learn ingestion
  • A2A protocol support for agent-to-agent communication
Mar 2026Phase 38-39Performance

Performance & Security Hardening

  • MCP server optimization (60-80% verification latency reduction)
  • Expert verification mode (Grok 4) with per-message selection
  • Privacy hardening (CORS, port binding, encryption, audit TTL)
  • Quantized reranker (91MB to 23MB, 3-4x faster)
Mar 2026Phase 37UX

UX Polish

  • Brand identity with teal accent color system
  • Simple / Advanced mode for progressive disclosure
  • Settings reorganized into tabs with user experience presets
  • First-run onboarding dialog
Mar 2026Phase 34Pipeline

Advanced RAG Pipeline

  • 6-stage adaptive retrieval pipeline
  • Query decomposition with parallel sub-retrieval
  • MMR diversity reordering + late interaction scoring
  • Semantic query cache with quantized embeddings
  • KB admin endpoints + GUI
Mar 2026Phase 33Auth

Multi-User Auth

  • Opt-in JWT authentication with tenant isolation
  • Per-user API key encryption
  • Marketing website launched at cerid.ai
  • Usage metering dashboard
Mar 2026Phase 32Retrieval

Core Retrieval Quality Uplift

  • Cross-encoder reranker (ONNX-accelerated, 3 modes)
  • Switchable client-side embeddings (Matryoshka, zero-migration)
  • Contextual chunking with LLM-generated situational summaries
Mar 2026Phase 29UX

Response Formatting & Verification UI

  • Rich Markdown rendering with custom component overrides
  • Inline claim verification with popovers and footnotes
  • Collapsible code blocks + table of contents
Mar 2026Phase 28UX

Power-User Features

  • Right-click context menus on toolbar icons
  • Drag-and-drop ingestion on KB pane and chat input
  • Infrastructure settings + search tuning sliders
  • Proactive model switch on ignorance detection
Mar 2026Phase 27Infrastructure

Infrastructure Hardening

  • LAN access with multi-interface IP detection
  • Pre-flight validation (ports, env vars, disk space)
  • Guided setup.sh installer
  • Optional Caddy HTTPS gateway
Mar 2026Phase 26Agents

Knowledge Graph & RAG Agents

  • Neo4j-backed knowledge graph with relationship extraction
  • Circuit breakers on all LLM gateway and graph DB calls
  • Distributed request tracing
  • 9-agent system (query, triage, curator, rectify, audit, maintenance, hallucination, memory, self-RAG)