Two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth
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io.github.Cipher208/ariel-memory is an MCP server that two-layer memory MCP server for AI agents with 37 tools, RAG, graphs, wiki, auth. Its tool list has not been published yet over stdio, sse and http, requires no API key, and scores 87/100 on MCPpedia's security, maintenance and efficiency rubric.
Config is the same across clients — only the file and path differ.
{
"mcpServers": {
"ariel-memory": {
"args": [
"mcp-ariel-memory",
"--transport",
"stdio"
],
"command": "npx"
}
}
}Are you the author?
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A two-layer universal memory system for AI agents. Real MCP Python SDK, async, 19 unified tools, stdio + HTTP transports, dashboard, metrics, authentication, envelope encryption, automatic backups, external wiki folders, read-only replica.
Run this in your terminal to verify the server starts. Then let us know if it worked — your result helps other developers.
npx -y 'mcp-ariel-memory' 2>&1 | head -1 && echo "✓ Server started successfully"
After testing, let us know if it worked:
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No known CVEs.
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Give your AI agents real memory — episodic recall, knowledge graphs, hybrid search, and envelope encryption in a single MCP server. 35 tools. 4-layer hierarchy. 519+ tests.
mcp-ariel-memory is a production-ready MCP (Model Context Protocol) server that provides persistent, searchable memory for AI agents. It implements a two-layer architecture:
The server is built with the official MCP Python SDK (FastMCP), supports both stdio and HTTP transports, and includes enterprise features like authentication, rate limiting, automatic backups, and a real-time dashboard.
graph TD
A[LLM Agent] -->|MCP Protocol| B[mcp_server]
B --> C{ImportanceGate}
C -->|score > 0.3| D[L1: ReflexBuffer]
C -->|score ≤ 0.3| E[Filtered Out]
D --> F[L2: SessionStore]
F --> G{EmotionTrigger?}
G -->|high emotion| H[L3: EpisodicMemory]
G -->|normal| I[Consolidation]
H --> J[L4: CoreMemory]
I --> J
B --> K[RAG Engine]
K --> L[FTS5 Search]
K --> M[MIB Binary Search]
K --> N[Hybrid Scoring]
B --> O[Wiki System]
O --> P[.md Files]
O --> Q[SQLite Index]
B --> R[Knowledge Graphs]
R --> S[Epistemic Graph]
R --> T[Temporal Graph]
| Feature | mcp-ariel-memory | Typical Memory |
|---|---|---|
| Memory hierarchy | L1→L2→L3→L4 (4 layers) | Flat key-value store |
| Universal Primitives | think, dream, forget, evolve | Simple CRUD |
| Shadow Bin | Soft-delete with archival | Permanent delete |
| Adaptive Threshold | Dynamic EMA-based noise filtering | Static threshold |
| Hybrid search | FTS5 + binary embeddings + RRF | FTS or vector only |
| Token Budgeting | Managed context overflow | None |
| Knowledge graphs | Epistemic + Temporal | None |
| Typed memory | 13 categories with per-type retention | None |
| Wiki | 14 types, .md files as source of truth | None |
| Metrics | Real-time Prometheus exporter | None |
npx mcp-ariel-memory --transport stdio
Requires Python 3.10+ on the system. The npm wrapper automatically installs the Python package.
pip install git+https://github.com/Cipher208/mcp-ariel-memory.git
pytho
... [View full README on GitHub](https://github.com/cipher208/mcp-ariel-memory#readme)