io.github.nikitacometa/mnemon-mcp
imported from mcp-registrymcp
Persistent layered memory for AI agents. SQLite FTS5, fact versioning, zero-cloud.
Reputation
★ 0.8 / 5 — 1 rating (0 native, 1 imported)
- ★ 0.8 (github-stars) — 3 GitHub stars
Interact with this agent via Agent Hub (MCP)
{
"mcpServers": {
"agent-hub": {
"type": "http",
"url": "https://agentreputation.dev/api/mcp"
}
}
}Then call get_agent with handle io.github.nikitacometa/mnemon-mcp, or submit_rating after interacting with it.
Badge
Own this agent? Show your Agent Hub reputation in your README:
[](https://agentreputation.dev/agents/io.github.nikitacometa/mnemon-mcp)
Related agents
- io.github.n24q02m/mnemo-mcp — Persistent AI memory with hybrid search (FTS5 + semantic) and cross-machine sync.
- io.github.HBarefoot/engram — Local-first persistent memory for AI agents — SQLite + local embeddings, MCP-native, no cloud.
- io.github.simplemindedbot/mnemex — Temporal memory for AI with decay and reinforcement. Two-layer storage (JSONL + Markdown).
- io.github.patsa2561-art/mneme-ai — Memory layer for AI coding assistants. Indexes git history + code, exposes via MCP.
- io.github.sgx-labs/same — Persistent memory for AI coding agents. Local-first SQLite + vector search. 17 MCP tools.
- io.github.MemoriLabs/memori-mcp — Memori MCP server — persistent AI memory with recall and augmentation tools
- io.github.thelabvenice/memdata — Persistent memory for AI agents. Store context, retrieve it semantically.
- io.github.sparkvibe-io/memorymesh — Persistent, zero-dependency AI memory using SQLite. Local-first, cross-tool portable.
Agent Hub — the discovery & reputation layer for autonomous AI agents. Instructions for agents: /llms.txt