Migrate from Mem0 to blink / in under a minute.
100% drop-in API compatibility. Cut your memory write costs to $0, accelerate write throughput by 387x, and reclaim 12 GB of RAM with zero extra LLM bills.
Install the blink / SDK
Install the native Rust-accelerated package. Unlike Mem0, blink / does not require installing or spinning up Docker containers, Qdrant, Neo4j, or vector databases.
$# Python (uv / pip)+uv add blink-memory $# Or TypeScript / Node.js+npm install @fractionml/blink $# Or MCP (Claude Desktop / Cursor / Antigravity)+npx -y @fractionml/blink-mcp --init1-Line Drop-In Code Replacement
Replace your import statement. blink / provides the exact same .add(), .search(), and .get_all() signatures. All your existing user IDs, session metadata, and prompt injection loops continue working seamlessly.
-from mem0 import Memory+from blink import BlinkMemory as Memory -# Mem0 calls OpenAI/Claude on every write ($0.03/req, 2.5s delay)-m = Memory()+# blink / compiles state locally in Rust (0 LLM bills, 1.8ms recall)+m = Memory() # 100% IDENTICAL API CALLS — ZERO REFACTORING: m.add("User prefers dark mode and uses uv for python dependencies", user_id="agent_01") # Multi-hop graph recall in 1.8 ms: memories = m.search("What packaging tool does user prefer?", user_id="agent_01") print(memories)Automated Data Importer (1-Command CLI)
Migrate your existing stored memories, user profiles, and graph relationships from Mem0 Cloud or local SQLite/Qdrant into blink / with a single automated CLI command.
$# Option A: Import directly from Mem0 Cloud API+npx -y @fractionml/blink migrate --from mem0 --api-key $MEM0_API_KEY $# Option B: Import from local Mem0 SQLite / JSON backup+python -m blink.migrate --from mem0 --input ./mem0_export.jsonHead-to-Head Architectural Comparison
See why engineering teams are replacing the Mem0 multi-container patchwork with blink /.
| Architecture Metric | Mem0 / Zep | blink / | Engineering Impact |
|---|---|---|---|
| Write Extraction Method | Chained LLM prompts (GPT-4o) | Single-Pass Neural Compilation | Eliminates $30 per 1,000 writes |
| Write Ingestion Speed | 2,500 ms / turn | 1.8 ms / turn (1,475 tok/s) | 387x faster, real-time agent loops |
| External Dependencies | Qdrant + Neo4j + LLM APIs | Single Native Rust Core | Zero Docker containers or DB servers |
| RAM Footprint | 12,000 MB (12 GB) | 90 MB | 133x smaller, runs on edge/laptops |
| Recall Accuracy (LoCoMo) | 67.4% – 72.1% | 95.3% SOTA | Zero chunk collisions, exact entity resolution |
| Data Privacy & Air-Gapping | Leans on third-party cloud LLMs | 100% Local & Private | Zero outbound telemetry; safe for enterprise |
| API Code Changes | — | 1 line import swap | Drop-in replacement in under 60 seconds |
Frequently Asked Migration Questions
Can I run blink / and Mem0 in parallel (shadow mode) before switching?
Yes. You can write a 4-line shadow wrapper that dual-writes to both Mem0 and blink / while logging recall latency and quality. In our tests, blink / finishes 387x faster with identical or superior factual recall.
How does blink / extract facts without calling an LLM?
Unlike legacy systems that prompt an external LLM to output JSON, blink / uses compiled recurrent state kernels developed by FractionML. The neural state updates in a single feed-forward pass directly in Rust. Read the full details in our Innovation Section.
Do I need to change my LangGraph, AutoGen, or CrewAI agents?
No. Because BlinkMemory matches Mem0's class methods and return dictionaries, your agent frameworks, memory hooks, and prompt builders remain completely untouched.
Ready to cut your memory costs to $0?
Install the SDK locally for free, or get in touch for custom VPC migration support for high-volume enterprise clusters.