Co-authored-by: dtecho <[email protected]>

Co-authored-by: dtecho <[email protected]>

Co-authored-by: dtecho <[email protected]>

Co-authored-by: dtecho <[email protected]>

Co-authored-by: dtecho <[email protected]>

…ion-engine

Implement OpenCog as Jan Autonomous Orchestration Engine

Major enhancements to the OpenCog autonomous orchestration engine:

- Real task execution: Replaced simulated delays with strategy-based task
  processing including analysis, generation, search, validation, and execution
  task types with proper retry logic and metrics collection

- Persistence layer: Added plan persistence with execution history tracking
  and learning insights extraction for improved future planning

- Cognitive reasoning: Enhanced goal analysis with complexity scoring,
  feasibility assessment, capability identification, risk analysis, and
  intelligent task decomposition

- Dynamic replanning: Automatic plan adjustment based on execution results,
  failure detection, and confidence thresholds

- Multi-agent coordination: Parallel task execution with specialized agents
  (coordinator, researcher, analyst, creator, validator), intelligent task
  assignment based on capabilities, and inter-agent communication

- Learning from history: Goal pattern insights, task success rates, execution
  time tracking, and failure pattern identification for continuous improvement

New settings: enable_persistence, enable_multi_agent, enable_dynamic_replanning,
and max_parallel_tasks for fine-grained control over orchestration behavior.

Implement OpenCog v2.0 with enhanced orchestration capabilities

This commit introduces a complete testing and CI/CD infrastructure:

E2E Testing:
- Playwright test suite with 8 comprehensive spec files
- Tests for app, chat, models, settings, assistants, extensions, providers, keyboard shortcuts
- Multi-browser support (Chromium, Firefox, WebKit)
- Mobile viewport testing

CI Workflows:
- jan-e2e-tests.yml: Cross-browser E2E testing
- jan-unit-tests.yml: TypeScript and Rust unit test suite
- jan-release-all.yml: Unified release workflow for all platforms
- jan-release-mobile.yml: Android and iOS release builds
- jan-release-web.yml: Web app release and deployment
- publish-npm-packages.yml: NPM package publishing
- coverage-badge.yml: Automated coverage badge generation

Unit Tests:
- Added vitest configs and tests for extensions:
  - assistant-extension
  - conversational-extension
  - download-extension
  - rag-extension
  - vector-db-extension

Enhanced Makefile:
- New testing targets (test-e2e, test-rust, test-coverage, test-extensions)
- Build targets for all platforms (build-android, build-ios, build-web-app)
- Release targets (release-desktop, release-web, release-mobile)
- CI/CD helper targets (ci-test, ci-build, ci-e2e)
- Comprehensive help command

Coverage:
- Updated vitest.config.ts with coverage thresholds (50%)
- JSON summary reporter for badge generation

Add comprehensive E2E CI, unit tests, and release builds

Add missing dependencies to useEffect and useCallback hooks to satisfy
eslint react-hooks/exhaustive-deps rule. The threadId reset effect is
intentionally kept with only threadId as dependency to prevent
unnecessary re-runs when other stable functions change.

Fix React hooks dependency warnings in useThreadScrolling

This release adds three major features to the OpenCog orchestration engine:

## Atomspace Knowledge Graph (~700 lines)
- Graph-based knowledge representation with nodes and links
- Truth values (strength, confidence) for uncertain knowledge
- Attention values (STI, LTI) for importance tracking
- Pattern-matching query engine
- Automatic indexing of plans, goals, and tasks
- Similar goal finding based on shared concepts

## PLN (Probabilistic Logic Networks) (~600 lines)
- Truth value formulas: deduction, induction, abduction, modus ponens
- Forward chaining: derive new knowledge from existing atoms
- Backward chaining: prove goals by finding evidence
- Task success prediction based on similar past tasks
- Learning from execution results

## Tool Integration (~500 lines)
- 8 integrated tools: rag_retrieve, file_read, file_write, web_search,
  llm_inference, code_analysis, data_transform, summarize
- Tool chains for multi-step operations
- Automatic tool selection based on task description
- Execution statistics and reliability tracking

## New MCP Tools
- query_knowledge: Query the Atomspace
- infer_knowledge: Perform PLN inference
- execute_tool: Execute integrated tools
- get_knowledge_stats: Get system statistics

## New Settings
- Enable Atomspace, PLN, Tool Integration
- PLN max iterations and min confidence

## Tests
- 3 new test files with 60+ tests
- All 1,404 tests passing

Implement OpenCog v3.0: Atomspace, PLN, and Tool Integration