Give Agents Durable Cognitive Memory with MuninnDB
Use MuninnDB as an MCP-native memory layer where agent memories can strengthen, decay, gain confidence, and trigger recall across MCP, REST, gRPC, or SDK interfaces.
npx skills add agentskillexchange/skills --skill give-agents-durable-cognitive-memory-muninndb
MuninnDB is a single-binary cognitive database for agent memory workflows. The repeatable operator workflow is to run MuninnDB, connect an agent over MCP or another supported interface, write memories with context, and let engine-native decay, reinforcement, confidence, and semantic triggers shape what should be recalled later.
What this skill actually does
Invoke this skill when a user needs persistent agent memory with behavior beyond a basic vector store or static notes file. Keep the scope to memory capture, recall, and lifecycle management for agents; do not present it as a general database replacement or generic RAG framework.
Inputs and prerequisites: MuninnDB single binary, MCP-capable agent client or REST/gRPC/SDK integration.
Setup notes: Follow the upstream README and releases for the single-binary install. Start MuninnDB locally, then connect it through MCP, REST, gRPC, or the documented SDK depending on the agent runtime.
Source and verification boundary: use https://github.com/scrypster/muninndb as the canonical reference before running the workflow; keep commands, API calls, CLI usage, and generated outputs reviewable against that upstream source.
Framework fit: publish this as a MCP workflow only when the operator can invoke the documented toolchain directly, rather than treating the upstream project as a generic product listing.