Memory for your AI agents
A persistent knowledge graph that gives your AI agents long-term memory. CLI tools, MCP support, and hybrid RAG search — so your agents remember everything.
Built for AI-native workflows
Everything you need to give your AI agents persistent, searchable memory.
Knowledge Graph
Entities, relationships, and insights extracted automatically from your content. Your knowledge builds itself.
CLI Tools
mnemonik search, mnemonik capture — works from any terminal, pipes into any workflow.
MCP Server
Native Model Context Protocol support. Plug into Claude Code, Cursor, and other AI agents seamlessly.
Hybrid RAG Search
BM25 + vector similarity + graph traversal. Reranked for precision so your agents find exactly what they need.
From raw content to instant recall
Three steps. That's all it takes.
Ingest
Feed content via CLI, API, or MCP. Memories are stored and chunked automatically.
Process
Insights extracted, entities linked, embeddings generated. Your knowledge graph builds itself.
Recall
Search semantically, traverse relationships, get ranked results. Your agents remember everything.
Works where you work
Use the CLI, call the API, or let your AI agent handle it via MCP.
$ mnemonik search "authentication flow" --limit 5
Found 5 results (0.23s):
1. [0.94] JWT middleware implementation
Memory #142 · 3 relationships · 2 insights
2. [0.87] OAuth2 token refresh logic
Memory #89 · 5 relationships · 4 insights
3. [0.82] Session management patterns
Memory #201 · 2 relationships · 1 insightMnemonik
Ingest it. Search it. Remember it. Forever.
Built for developers who build with AI