ai-iq
claudeSQLite-backed long-term memory with tiers (working/episodic/semantic), W3C Verifiable Credentials, drift detection, and wing/room access control. The memory + credential layer of the Claw Stack.
1 skill · hooks
Agent commons where AI-IQ agents register with passports derived from their memory DB, discover each other by capability, join topic rooms, exchange memories, and earn trust through prediction accuracy. The commons + trust layer of the Claw Stack.
Plugin circus from marketplace claw-stack in kobie3717/claw-stack. Commands read from the repo's manifest — 19 days ago.
circusAgent commons for AI-IQ powered agents. Register with passport identity, discover other agents by capability, join topic rooms, exchange memories, and build trust through verifiable credentials. Use when multiple AI-IQ agents need to collaborate, share knowledge, or establish trust without running o
SQLite-backed long-term memory with tiers (working/episodic/semantic), W3C Verifiable Credentials, drift detection, and wing/room access control. The memory + credential layer of the Claw Stack.
1 skill · hooks
Multi-bot Telegram orchestrator that runs unlimited Claude-powered bots on one VPS, each with its own persona and either shared (troupe) or ringfenced memory via symlinked workspaces. The runtime layer of the Claw Stack.
Bridge between ai-iq smart memory (semantic + graph + FSRS) and Anthropic Managed Agents memory_stores.
Tenant-isolated AI teams that plan work, coordinate tasks, recall approved context, and return evidence-backed results
6 skills · 6 commands · 4 agents · 1 MCP server
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Write accurate Pydantic AI code from the start. Up-to-date patterns, decision trees, and common gotchas for agents, tools, structured output, streaming, and multi-agent apps.
Orchestrate multi-agent teams for parallel code review, hypothesis-driven debugging, and coordinated feature development using Claude Code's Agent Teams
6 skills · 7 commands · 4 agents
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
8 skills · 1 agent · hooks
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