Memoryoracle
You'd reach for this when you need persistent memory across agent sessions. It bundles vector storage for semantic search, recall mechanisms to retrieve past context, summarization to compress conversation history, and redaction tools to scrub sensitive data. The ten tools cover the full lifecycle of agent memory management, from storing embeddings to pulling relevant context back when needed. Useful if you're building agents that need to remember previous interactions or maintain knowledge bases that grow over time. The streamable HTTP transport means you can integrate it remotely without running the server locally.
- tools
- 10
- transport
- HTTP
- last updated
- May 7, 2026
Tools
10 toolsPublic tool metadata for what this MCP can expose to an agent.
store_memoryStore a fact, preference, decision, or rule. Deduplicates automatically.
Store a fact, preference, decision, or rule. Deduplicates automatically.
No parameter schema in public metadata yet.
query_memoryFull-text search with BM25 ranking and recency boost
Full-text search with BM25 ranking and recency boost
No parameter schema in public metadata yet.
update_factUpdate a memory with new info. Preserves version history (last 10 changes)
Update a memory with new info. Preserves version history (last 10 changes)
No parameter schema in public metadata yet.
forgetPermanently delete by ID, category, age, or everything. GDPR Art. 17
Permanently delete by ID, category, age, or everything. GDPR Art. 17
No parameter schema in public metadata yet.
summarize_sessionEnd-of-session capture: summary + extracted facts, decisions, action items
End-of-session capture: summary + extracted facts, decisions, action items
No parameter schema in public metadata yet.
list_memoriesBrowse with filters: category, importance, recency, access frequency
Browse with filters: category, importance, recency, access frequency
No parameter schema in public metadata yet.
cross_referenceVerify a memory against FeedOracle Trust Layer evidence
Verify a memory against FeedOracle Trust Layer evidence
No parameter schema in public metadata yet.
memory_statsDashboard: count, storage, categories, most accessed, recent
Dashboard: count, storage, categories, most accessed, recent
No parameter schema in public metadata yet.
export_memoriesExport all as JSON. GDPR Art. 20 data portability
Export all as JSON. GDPR Art. 20 data portability
No parameter schema in public metadata yet.
health_checkService status
Service status
No parameter schema in public metadata yet.
Sponsors
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MemoryOracle
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/
The problem
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.
Tools
Details
- Repository
- github.com/tooloracle/memoryoracle
- Category
- AI & LLM Tools
- Transport
- HTTP
- Registry
- MCP registry, active
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