AgentDB (external: maintained in ruvnet/agentdb, pinned to commit 27678c3, plugin 3.6.0): agentdb's own standalone MCP server pinned to [email protected] (vector memory with get/list/update/delete for records, patterns and skills, hybrid keyword + vector episode search and an opt-in local cross-encoder, an opt-in aidefence injection guard on memory writes, reflexion, skills, outcome feedback, capabilities report), a memory-specialist agent, 3 skills, /agentdb-status, and the agentdb mod guard that keeps secrets out of memory and refuses delete/reset unless allowed. Complements ruflo-agentdb, which reaches AgentDB through ruflo's server
Plugin agentdb from marketplace ruflo in ruvnet/ruflo. Commands read from the repo's manifest — today.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
What it installs
Skills (3)
agentdb-reflexion-learning
Learn from outcomes with AgentDB — store reflexion episodes with a self-critique, turn what worked into skills, report pattern and skill outcomes for reward-aware recall, record causal edges and RL feedback, and retrieve past failures before retrying. Use after a task succeeds or fails, when the use
agentdb-setup-diagnostics
Set up and diagnose the agentdb plugin and its MCP server — which profile and database are in use, whether the server is connected, what it holds, and why a tool is missing or refused. Use when AgentDB tools are missing, a call is refused, the user asks "is agentdb working", or wants to change the p
agentdb-vector-memory
Store and recall memory with AgentDB's own MCP server — semantic facts (agentdb_insert/agentdb_search), reasoning patterns (agentdb_pattern_store/agentdb_pattern_search) and certified recall. Use when the user says "remember this", "save this for later", "what do we know about X", or before starting
Slash commands (1)
/agentdb:agentdb-status
Show the agentdb MCP server's health — connection, backend, database counts, patterns and learning metrics
Subagents (1)
agentdb-memory-specialist
AgentDB memory specialist. Stores and recalls vector memory, reasoning patterns, reflexion episodes and skills through the agentdb MCP server, and records learning feedback. Use for "remember this", "what did we learn about X", saving a lesson after a task, or curating what AgentDB holds.
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
MetaHarness integration — surfaces score/genome/mint/mcp-scan/threat-model via skills; pairs with @metaharness/router (ADR-148/149) for cost-optimal model routing; honors ADR-150 optional-augmentation constraint
Agent skills for Azure SQL Developer, the Azure SQL Database engine running locally in a container. Teaches your agent to run the engine, connect, migrate, scaffold, build RAG, wire CI, and go local-to-cloud, using the real Private Preview image instead of the SQL Server image.
Long-term semantic memory for Claude Code, powered by OpenViking
5 skills · 1 command · 1 MCP server · hooks
volcengine/OpenViking 42,126
Maintain agentdb?
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