The MCP ecosystem often has several independent packages implementing the same tool — and "Agent Memory" currently has 8. Every one of them was scanned with the same deterministic engine, so the numbers below are directly comparable: the Trust Score (A–F), the capability blast radius, and how much of the package the scan could actually inspect. They are ranked by score; ties break toward unscoped, longer-established packages.
| Implementation | Package | Trust | Capability | Coverage | Findings | Scanned |
|---|---|---|---|---|---|---|
| Agent Memorybest by msr0806 | @msr0806/agent-memory-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Agent Memory by kiraautonoma | @kiraautonoma/agent-memory-mcp
npm |
A 100/100 | Minimal | Source | 0 | 2026-07-22 |
| Agent Memory by npm | agent-memory-mcp
npm |
A 100/100 | Minimal | Source | 2 | 2026-07-22 |
| Agent Memory by PyPI | agent-memory-mcp
PyPI |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Agent Memory by AiAgentKarl | agent-memory-mcp-server
PyPI |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Agent Memory by aiagentkarl | @aiagentkarl/agent-memory-mcp-server
npm |
A 98/100 | Minimal | Source | 1 | 2026-07-22 |
| Agent Memory by tverney | mcp-agent-memory
npm |
A 94/100 | High | Source | 3 | 2026-07-22 |
| Agent Memory by event4u | @event4u/agent-memory
npm |
A 94/100 | High | Source | 5 | 2026-07-22 |
A higher-ranked implementation is not "the official one" — ranking reflects only what the deterministic scan found in each published package. Open an implementation to read its individual findings with evidence, its scan history per version, and to grab an embeddable badge. Scores are automated opinions, recomputed on every rescan.