What's being built and why.
A running record of architectural decisions, design choices, and daily progress.
System Refinements: Testing, Artifacts, and Docs
Several fixes addressed long-running unit test suite hangs caused by issues accessing the shared database service without proper fixture patching
Refactor: Document Handling & Memory Pipeline
Documents are now split into 512-1024 char overlapping artifacts stored in data_graph, replacing the heavy document_processing_service
Major Memory & Tooling Overhaul
A complete memory recall overhaul introduced a new tool output format of [id:{id},relevance:{level}] {value} and added a `reflect` action featuring deep episode
Major Refactor: Message Processing & System Prompting
The underlying message processing pipeline underwent a substantial refactor, shifting to a MessageProcessor v2 architecture with a per-turn instance model, elim
MessageProcessor v2 Core Wiring Complete
SystemPrompt hierarchy was standardized, moving toward a pure template renderer
AI Core Updates: DMN, Context, and Performance Boosts
The DMN functionality was stabilized by replacing the broken unified_generate path with DMNMessageProcessor, enabling the full tool loop for DMN interactions
Core AI Overhaul: Schema, Tools, and Performance Gains
The schema management system was completely replaced by a declarative SchemaConvergenceService, which introspects the live database to ensure desired state
Major Pipeline Overhaul & Prompt Architecture Refactor
A major migration replaced the 20-step digest_worker pipeline with a new 4-step flow: WebSocket → UserMessageProcessor → MessageProcessor → Providers
Memory Pipeline Redesign & Knowledge Recall Boost
The episodic memory pipeline has been entirely replaced with a psychology-grounded architecture, featuring transcript-linked episodes via a rolling trigger at i
AI Assistant Updates: News, Tasks, and Prompts
The news tool has been simplified from six parameters/four actions to a two-parameter interface: query and an optional category
Feature Overhaul: Tool Discovery, DMN, and Resilience
Two-axis tool discovery is implemented, scoring tools using both semantic k-NN distance and exact keyword matches, which replaces the previous reliance on full_
Chalie Dev Log: Core Reliability & Workflow Overhaul
The trait correction logic now allows for overwriting stale values when the confidence is greater than or equal to 80% of the old confidence, fixing issues wher
AI Core Updates: Search, Contradiction, and Prompt Fixes
The stale "{{focus}}" placeholder was removed from frontal-cortex prompts to resolve failures in unified_generate()
Major Overhaul: Episode-Based Goal Emergence
The system replaces its old goal creation pipeline with episode-based emergence
AI Core Update: Goals, Tracing, and Stability
Several changes focused on enhancing meta-harness diagnostics and AI reasoning stability
Chalie Dev Log: Goals, Traits, and FTS Fixes
The Goals skill now supports explicit goal creation, accepting a description and timescale
Kill Topic Classifier & Refactor Digest Worker
The TopicClassifierService, TwoSignalBoundaryService, and RecentTopicService were completely removed, along with all associated tests and benchmarks
AI Core Upgrades: Vault, Contact, & Briefing Features
The AI core implemented a major encryption upgrade, moving from legacy Fernet methods to AES-256-GCM via a centralized VaultService and related migrations
Refactor: Real MemoryStore replaces Mocks
Multiple tests across goal signal, adaptive layer, and onboarding integrations have been refactored to use real MemoryStore instances instead of mocking infrast
Cleanup Phase: Finalizing Knowledge Store Migration
This batch focuses on finalizing the knowledge store consolidation and cleaning up residual references from the deleted legacy services
New Visual Output & Knowledge Store Unification
A rich_render skill was introduced to produce visual output like charts and progress bars in a single generation pass, using block directives for rendering
Major Updates: Multi-Model Support & News Tool
Multi-model providers are integrated, supporting multiple models per API key across 4 capability-derived job groups: Vision, Reasoning, Analytical, and Utility
AI Core Enhancements & Observability
A new system for telemetry collection was implemented, including the creation of `backend/services/telemetry_service
AI Core & Goal Ecology Major Updates
The encryption key service now stores the key directly in the database, ensuring the key and encrypted data are never separated, and it automatically migrates f
Chalie Dev Log: Search, Docs & State Visibility
A unified multi-provider search tool was implemented, supporting 12 providers including Wikipedia, Wikidata, and GitHub, with DDG fallback and query routing via
Tooling and Context Overhaul in Chalie
Tools have been refactored to be direct-invocation Python modules, eliminating tool directories, manifest files, and subprocess execution
Major AI Pipeline Simplification and Refactoring
Routing infrastructure, including routing_decisions table and related services, has been entirely removed as it was unused in production
Major Refactors & New Daemon Gateway
Refactored the embodiment system to be internally managed, version-pinned, and auto-synced at boot, removing the marketplace model and several related API endpo
Chalie Dev Log: Interface & World State Upgrades
The interface layer was significantly expanded to include a Bluetooth-style pairing protocol and registered interface tools in ToolRegistryService
AI Core Enhancements: Mode-Gate, Context, and Stability
The mode-gate ONNX classifier has been deployed, a binary RESPOND/ACT classifier achieving 97
Chalie Dev Log: AI Refinements and Image Pipeline
The triage pipeline underwent significant refactoring, leading to the removal of CLARIFY mode and the simplification of routing logic
AI Core & ACT Loop Refinements
Trait extraction is now wired into the standard chat path and includes location data, and markdown fences are stripped before JSON parsing for traits
Major Refactor: Killing Memory Chunker
The memory chunker worker has been removed, significantly reducing codebase size by approximately 3,000 lines
World Model, Goal Inference, User Signals Integrated
WorldStateService now uses a MemoryStore cache, refreshed during idle periods and updated by signal handlers, providing ambient context, active conversation top
Docstrings & Tooling Enhancements
Multiple service files across Phase 1 and Phase 2a received comprehensive Google-style docstrings, covering modules, classes, and public/private methods with de
Core Architecture Deep Dive: Salience & Constraints
A new WorldStateService is introduced to aggregate contextual items using temporal and semantic salience scoring, surfacing relevant goals and tasks based on re
AI Stability & Pipeline Improvements
Added established signal and created_at to the contradiction pipeline, preparing for the ONNX contradiction classifier
AI Assistant Refinements & Uncertainty Engine
The Uncertainty Engine saw Phases 2, 3, and 4 complete, adding ContradictionClassifierService, ReconcileAction, and refining source reliability checks in ActDis
Stability and Intelligence Updates
60-second timeouts were added to all vision LLM OCR calls across Anthropic, OpenAI, and Gemini to prevent long-running pipeline hangs
AI Assistant Updates: Watch Folders, Classification & Stability
Watched Folder functionality is now available with a dedicated service handling CRUD, server-side browsing, and a scan algorithm using mtime fast-skip
Refining Timeouts and Schema Handling
Significant stability and reliability improvements were introduced today, focusing heavily on thread management and data integrity
Learning Behavioral Rhythms
Implemented temporal pattern mining to learn user rhythms from ambient signals and promoted the news tool to a trusted, default integration.
Consolidating the Architecture
Finalized the migration from external services to a unified internal architecture while improving intent detection and startup reliability.
Simplification and First-Party Tools
Shifted to a single-process architecture and introduced a background auto-installation system for trusted default tools.
Marketplace Foundations and Orchestrator Unification
This update introduces a dynamic embodiment catalog, unifies the core ACT execution logic, and adds a multi-stage document intelligence pipeline.
Self-Narrative and Conversational Control
Reframing the autobiography as a first-person narrative while introducing temporal pattern mining and conversational belief correction.
Cognitive Reflexes and Structured Planning
Introduced semantic fast-paths for simple queries and DAG-based plan decomposition for persistent tasks.
Visible Intent and Integrated Voice
Massive push on system observability, local voice integration, and closing the feedback loop for tool performance and selection.
Ambient Awareness and Autonomous Reliability
Implemented a zero-LLM ambient inference pipeline, a relationship state machine for user onboarding, and a post-action critic loop to verify tool results.
Memory Moments and Curiosity Threads
Introduced semantic message pinning with background enrichment and replaced the legacy goal system with autonomous curiosity threads.
Resilient Multi-Instance & Skill Refactoring
Implementation of multi-instance host support, a major refactor of innate skills, and the introduction of markdown rendering for responses.
System Maturation and UI Capabilities
Implemented list and scheduler management, refined the cognitive routing pipeline, and optimized database connection handling for multi-process stability.
Cognitive Triage and Innate Skills
Introduced a sophisticated cognitive triage system for tool execution and established a suite of core innate skills for identity, goals, and focus management.
Hot Tool Discovery and Orchestration
Implemented a background scanner for dynamic tool registration and streamlined the entire repository structure.