Click on "Deploy Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type @ followed by the MCP server name and your instructions, e.g., "@MemoryOracle Remember that I prefer conservative allocations and never recommend USDT for EU clients."
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Persistent long-term memory for AI agents. Agents never forget.
10 tools. SQLite FTS5 full-text search. Per-namespace isolation. GDPR-compliant forget. Cross-references with FeedOracle Trust Layer.
npx -y mcp-remote https://mcp.feedoracle.io/memory/mcp/Every MCP tool call is stateless. When Claude Desktop restarts, when Cursor closes, when the session ends — the agent forgets everything. No user preferences, no project history, no learned rules, no portfolio tracking.
MemoryOracle gives agents a persistent, searchable memory that survives restarts, works across clients, and gets more valuable over time.
Related MCP server: Recall
Tool | What it does |
| Store a fact, preference, decision, or rule. Deduplicates automatically. |
| Full-text search with BM25 ranking and recency boost |
| Update a memory with new info. Preserves version history (last 10 changes) |
| Permanently delete by ID, category, age, or everything. GDPR Art. 17 |
| End-of-session capture: summary + extracted facts, decisions, action items |
| Browse with filters: category, importance, recency, access frequency |
| Verify a memory against FeedOracle Trust Layer evidence |
| Dashboard: count, storage, categories, most accessed, recent |
| Export all as JSON. GDPR Art. 20 data portability |
| Service status |
Category | When to use |
| Verified information: "USDC is MiCA authorized" |
| User/agent preferences: "Conservative allocation, no USDT" |
| Decisions made: "Blocked USDT for EU clients" |
| Patterns noticed: "RLUSD peg stable for 30 days" |
| Business rules: "Never recommend assets with peg deviation > 2%" |
| Session summaries with linked facts |
| Portfolio positions and allocations |
| Open tasks: "Check RLUSD status in April" |
Session 1 — Agent does MiCA compliance checks:
{"name": "store_memory", "arguments": {
"content": "USDT blocked for EU — MiCA NOT AUTHORIZED. Preflight: STOP.",
"category": "decision", "importance": 10,
"tags": ["usdt", "mica", "blocked"],
"namespace": "compliance-bot"
}}Session 2 — Next day, agent remembers:
{"name": "query_memory", "arguments": {
"query": "USDT EU compliance status",
"namespace": "compliance-bot"
}}→ Instantly recalls the decision from yesterday. No re-checking needed.
End of session — Auto-capture:
{"name": "summarize_session", "arguments": {
"summary": "Reviewed stablecoin portfolio. USDT blocked. RLUSD pending.",
"key_facts": ["USDC authorized", "EURC authorized", "USDT blocked"],
"decisions": ["Block USDT for EU"],
"action_items": ["Check RLUSD in April 2026"],
"namespace": "compliance-bot"
}}Feature | MemoryOracle | Others |
Search | FTS5 BM25 ranking + recency boost | Basic keyword |
Categories | 8 structured types | Flat key-value |
Session capture | Auto-extracts facts, decisions, actions | Manual only |
Trust Layer | Cross-reference with signed evidence | None |
GDPR | Art. 17 forget + Art. 20 export | Usually missing |
Namespaces | Per-agent isolation | Shared global |
History | Version tracking (last 10 changes) | Overwrite |
TTL | Auto-expiry with configurable hours | None |
POST https://tooloracle.io/x402/memory/mcp/Tool | Units | Price |
| 2 | $0.02 |
| 5 | $0.05 |
| 8 | $0.08 |
| 5 | $0.05 |
| 3 | $0.03 |
| 2 | $0.02 |
| 1 | $0.01 |
{
"mcpServers": {
"memory": {
"command": "npx",
"args": ["-y", "mcp-remote", "https://mcp.feedoracle.io/memory/mcp/"]
}
}
}MemoryOracle is part of ToolOracle — 50+ MCP servers, 530+ tools. Powered by FeedOracle compliance infrastructure.
The memory layer that makes Decision Preflight, Trust Layer, ISO 20022, and every other tool exponentially more valuable.
📝 We Built an AI Agent That Runs 24/7, Never Forgets, and Checks Its Own Work — How Memory + Scheduler + Decision Preflight work together as one integrated autonomous agent stack. Real tool outputs, no theory.
MIT
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Persistent memory for AI agents. Search and store durable facts, preferences and decisions.
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Persistent memory for AI agents: add, search, update, and delete long-term memories.
Persistent memory for AI agents. Search, store, and recall across sessions.
