Live delivery log extracted from WORKSPACE.md. It mixes website work with selected milestones from the broader GeminiClaw product so visitors can understand context without treating this page as a release contract.
Telegram channel runtime, basic agent loop, SQLite persistence, and tool registry foundation.
LanceDB semantic memory, embedding pipeline, and context-aware retrieval for agent conversations.
Loop Guard, risk gates, autonomy tuning, and Planning Gate (present_code_plan) before code mutations.
Master + subordinate agents with intent-aware tool subsets and runtime isolation by agentId + chatId.
telegram.ts split into telegramCommands.ts, telegramApprovals.ts, telegramOrchestrator.ts (136 lines core).
Planning Gate (present_code_plan) + GitNexus Code Intelligence (query_code_graph) for impact analysis.
Checkpoint/replay recovery with automatic boot recovery and full replay trail per execution run.
determineModelForTask() in geminiApi.ts — dynamic model selection by task type (gemini-2.5-pro, 2.0-flash, etc.).
Native indexing and semantic search of images, audio, and documents in LanceDB.
backgroundJobs.ts + workerPool.ts — async deep research with non-blocking Telegram delivery.
generateTextStream() in autonomousLoop.ts — chunks sent via ctx.reply with progressive editing.
mcpClient.ts (131 lines) — integrated with Context7 via @upstash/context7-mcp for external tools.
High-autonomy default in Ads playbook — safe assumptions, less interrogation, more execution.
optimize_campaign_batch action — dry-run + apply workflow for bulk Ads optimization.
GOOGLE_ADS_API_VERSION env + npm run smoke:google-ads for breaking change detection.
npm run evals:agents — scenario-based regression testing for all agent behaviors.
Multi-account native: accounts, tools, ingestion, routing, panel — isolated by accountId.
Hardening: deduplication, failure replay, per-account policies, audit trail, status/analytics.
Real-time observability dashboard in Vite + vanilla JS with Kanban/Exec/Ops modules. Maturity modules pending.
Evaluate incremental migration to official Google ADK with hybrid architecture. Strategically important.
Skills packaging layer over tools; AgentSkills.io SKILL.md parser for extensible capability bundles.
MQL/SQL/Opportunity/Revenue as explicit optimization targets — business-oriented, not just platform metrics.
AI analyzes performance periodically and suggests CPA/Keywords adjustments without prompting.
Cross-reasoning between landing page content and real search terms for headline optimization.
Replace Puppeteer with native browser control via MCP — token-efficient DOM interaction.
Standard tracing for all GenAI calls, MCP tool invocations, and tool executions.
Consistent governance across Telegram and Control Plane with tool scopes per agent.
Plug-and-play MCP integrations with local trust policy enforcement.
Predictable multi-agent coordination without conflating internal messaging with A2A protocol.
Fast response for recurring failures (Ads auth, 409 Telegram, credentials) via automated playbooks.
Native security isolation for filesystem access (workspaceAccess) — prevents unintended execution.
Reduce approval fatigue by limiting scopes per allowlist (e.g., npm run commands only).