-**Status:** v0.9.1 in progress. 22 domains, 8 agent frameworks (7 working out of box — openai-agents requires OPENAI_API_KEY, google-adk requires GOOGLE_API_KEY with clear warnings), **streaming chat via Server-Sent Events** (token-by-token text in 6 frameworks + real-time tool call visualization with Timeline/Spinner/Collapsible + `entities_extracted` and `preferences_detected` SSE events displayed as badges), neo4j-agent-memory v0.1.0 MemoryIntegration for multi-turn conversations with automatic entity extraction and preference detection (local sentence-transformers embeddings by default — no OpenAI key required; auto-upgrades to OpenAI embeddings if OPENAI_API_KEY is set), MCP server generation for Claude Desktop (`--with-mcp` flag, `make mcp-server` target, dual-interface architecture), configurable session strategies (`per_conversation`/`per_day`/`persistent` via `SESSION_STRATEGY` env var), interactive NVL graph visualization (schema view, double-click expand, drag/zoom, property panel, agent-driven graph updates — now updated incrementally during streaming, node hover tooltips, "Ask about this" button), LLM-generated demo data (80-90 entities, 25+ documents, 8-12 decision traces per domain) with post-generation value clamping for 28 property types, markdown rendering in chat and document browser with ReactMarkdown, document browser with pagination, entity detail panel, decision trace viewer, 12 SaaS connectors (including Linear for real project data import, Google Workspace for decision trace extraction from comment threads, Claude Code for local session history import with decision/preference extraction, and Claude AI + ChatGPT for importing conversation exports from AI chat platforms), custom domain generation, Neo4j Aura .env import + neo4j-local support, Docusaurus documentation site (23 pages including quick-start, domain catalog, framework comparison, Neo4j Aura/Local guides, Docker guide, architecture diagram, "Why Context Graphs?" explainer, Google Workspace tutorial, decision trace explainer, GWS schema reference, chat history import tutorial, and chat import schema reference), graceful Neo4j degradation with /health endpoint (retry with backoff on initial load) and 503 guards on all endpoints, Cypher injection prevention, enum identifier sanitization, configurable CORS/model/timeouts, --dry-run/--verbose/--reset-database/--demo CLI flags, CLI auto-slug generation (PROJECT_NAME optional in non-interactive mode), CLI warnings for framework-specific API key requirements (openai-agents, google-adk), constants module, WCAG accessibility improvements, chat timeout/cancel with AbortController, mobile-responsive layout, .dockerignore for Docker builds, `make test-connection` target, framework-specific README sections, troubleshooting guide, thread-safe async bridging for sync frameworks (CrewAI/Strands), bounded agentic loops (max 15 iterations), domain-specific static name pools (1000+ names across 118 entity labels — all domain YAML labels covered) with domain-aware base entities, tool-use emphasis in all agent system prompts, domain-scoped chat history localStorage keys, SSR hydration fix, retry button on chat errors, PydanticAI tool serialization fix (JSON string return types), Google ADK API key support (--google-api-key flag) with AttributeError guard for SDK cleanup, Strands robust text extraction, CrewAI explicit Anthropic LLM config with `crewai[anthropic]` dependency, domain-scoped MERGE keys (`{name, domain}`) for cross-domain isolation when sharing a Neo4j instance, improved static data quality (22 domain-specific industry pools, POLE-type-aware entity descriptions with 5 label categories + 7 label-specific overrides, entity-derived document titles, realistic decision trace observations, 20+ domain-specific property pools, float value clamping, taxonomy class correction), agent thinking text collapsible filter with continuation pattern support, Cypher query validation tests across all domains, fixture cross-validation tests (schema alignment + data quality), proper Document/DecisionTrace node ingestion via --ingest, Chakra UI Pro-inspired chat input redesign, list/get-by-id agent tools for all 22 domains (7-8+ tools per domain), ON CREATE/MATCH SET for constraint-safe seeding, hardened Linear connector (named constants, structured logging, URLError/JSONDecodeError/429 handling with retry, pagination safety limits, null-safe field access, team key validation in authenticate(), incremental sync via updated_after, decision traces in generated template), optional credential prompts in interactive wizard, Google Workspace connector with decision trace extraction from 6 Google APIs (Drive Files, Comments, Revisions, Activity, Calendar, Gmail) with 10 decision-focused agent tools and cross-connector Linear linking, scaffolded Claude Code connector with full entity extraction (9 entity types, 14 relationship types, secret redaction, decision/preference extraction, language detection), connector-specific demo scenarios, 1,060 passing tests (1,266 collected including slow/integration).
0 commit comments