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
Bridge between ai-iq smart memory (semantic + graph + FSRS) and Anthropic Managed Agents memory_stores.
Plugin managed-agents-memory from marketplace claw-stack in kobie3717/claw-stack. Commands read from the repo's manifest — 19 days ago.
No skills, commands, agents, hooks or MCP servers were found in the standard plugin folders.
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
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.
1 skill
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.
Persistent memory for Claude Code: the next session starts where the last one left off.
29 skills · 1 MCP server · hooks
Agent runtimes — local WASM-sandboxed agents (rvagent) + Anthropic Claude Managed Agents (cloud); one interface, local-vs-cloud backends
5 skills · 2 commands · 9 agents
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
AI memory system — mine projects and conversations into a searchable palace. 47 MCP tools, auto-save hooks, guided setup.
3 skills · 6 commands · 1 MCP server · hooks
DuckDB-powered skills for Claude Code: read any data file, attach and query DuckDB databases, search DuckDB/DuckLake docs, search past session logs, and install/update DuckDB extensions.
9 skills
Independent auditing for AI agents, open source. Claude discovers your setup, confirms the cost, and audits your agent against the one question other tools skip: is it doing the job it's supposed to do, given your business rules and org structure? Test any model (Anthropic, OpenAI, Gemini, Azure, Bedrock, …) graded by self, one independent judge, or a cross-vendor panel; each provider is billed to its own account via a key in your settings, never the command line. Results render as an interactive artifact (with a static-report fallback).
1 skill · hooks
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.