- biome.json (2.4.16, linter-only) wired as "lint" in all six packages
- scripts/check-effect-laws.ts: Effect-native law enforcement encoding the
adapted beep-effect effect-first/schema-first laws (no native JSON/switch/
sort/fetch/timers, no process.env, no throw new, no Effect.run* outside
boundaries, no Schema-suffixed constants, no node:fs/path, AST-based
pure-data interface detection per law 38/39)
- ratcheting baseline allowlist (95 entries / 290 findings) that must shrink
to documented exemptions only; stale counts fail the gate
- root lint chains turbo lint + law check + native-class inventory
- fix all 163 initial Biome findings: import-type style, templates, two `any`s,
ten non-null assertions (librarian getService gate, A.matchRight in atoms,
ensureNode returning nodes, main.tsx mount guard)
Gates: lint, check:tsgo, build, test (force, 11 tasks) all green.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Pipeline fixes:
- Fix agent getting empty response from graph-rag by combining answer +
explain data in single message (RequestResponse returns first msg)
- Fix Doc RAG pipeline: add content field to Qdrant doc payload, seed 10
document chunks, fix type mismatches across base/flow/client
- Forward explainability events from agent's KnowledgeQuery to client
- Add "agent" to TERM_BEARING_RESPONSE_SERVICES for triple translation
- Fix embeddings env var (OLLAMA_URL), user/collection threading, edge
scoring threshold, and various protocol mismatches
Branding:
- Rename TrustGraph → Beep Graph (title, sidebar, settings, about)
- Custom lambda + ThugLife pixel glasses SVG logo component
- Forest green color palette (brand-50 through brand-900)
- SVG favicon + PNG icons (16/32/180/192/512)
- PWA manifest with service worker for offline shell caching
- Splash screen with animated logo pulse on app load
- Ambient glow background with drifting green radial blobs
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Add the full MCP tool pipeline enabling agents to invoke external tools
(like Brave Search) via MCP servers:
- Add ToolRequest/ToolResponse types and mcp-tool topics to @trustgraph/base
- Create McpToolService (FlowProcessor) that connects to external MCP servers
via @modelcontextprotocol/sdk StreamableHTTP transport
- Add createMcpTool() to wire MCP tools into the agent's ReAct loop
- Implement config-driven tool registration in AgentService with backward-
compatible fallback to hardcoded tools
- Add tool filtering by group and state (port of Python tool_filter.py)
- Register mcp-tool in gateway dispatcher and export from @trustgraph/flow
- Fix flow restart race condition: skip restart when flow definitions unchanged
- Update seed config with MCP server config and tool definitions
- Add run scripts for MCP tool service and Brave Search MCP server
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
