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Engram vs Alternatives
How Engram compares to other AI memory and vector search solutions. Engram is designed as a local-first, embedded AI brain — not a hosted cloud service.
Feature Matrix
| Feature | Engram | mem0 | Zep | LangChain Memory | ChromaDB |
|---|---|---|---|---|---|
| Local-first (no cloud required) | Yes | Partial | No | Partial | Yes |
| MCP protocol support | Yes | Yes | Yes | No | Yes |
| CLI tool | Yes | No | No | No | No |
| Memory decay (Ebbinghaus curve) | Yes | No | Partial | No | No |
| Namespace isolation | Yes | Yes | Yes | Partial | Yes |
| Contradiction detection | Yes | No | No | No | No |
| Knowledge graph | Yes | Partial | Yes | No | No |
| Streaming recall (SSE) | Yes | No | No | No | No |
| Embedding model swapping | Yes | Yes | Yes | Yes | Yes |
| Re-embedding pipeline | Yes | No | No | No | No |
| Index persistence (fast startup) | Yes | No | No | No | Yes |
| Auto-consolidation (episodic to semantic) | Yes | No | No | No | No |
| Import/Export (JSON/NDJSON) | Yes | Partial | Partial | No | Partial |
| REST API | Yes | Yes | Yes | No | Yes |
| WebSocket real-time events | Yes | No | No | No | No |
| 3 memory types (episodic/semantic/procedural) | Yes | Partial | Partial | Partial | No |
| Zero external dependencies | Yes | No | No | No | Partial |
| Python SDK | No | Yes | Yes | Yes | Yes |
| Multi-tenancy | Yes | Yes | Yes | No | Yes |
Architecture Comparison
| Engram | mem0 | Zep | ChromaDB | |
|---|---|---|---|---|
| Storage | SQLite (embedded) | Qdrant / pgvector / 20+ | Neo4j / FalkorDB (cloud) | SQLite / DuckDB |
| Embedding | Local ONNX/WASM | OpenAI API | OpenAI / local | Sentence Transformers |
| Deployment | Single binary, zero config | Cloud hosted or self-host | Docker Compose (3 services) | pip install or Docker |
| Language | TypeScript / Node.js | Python | Go + Python | Python / Rust |
| AI Integration | MCP, REST, WebSocket, CLI | Python SDK, REST | Python SDK, REST | Python SDK, REST |
| Graph | Built-in knowledge graph (7 edge types) | Neo4j (optional) | Graphiti temporal KG | None |
| Memory Model | 3 types + decay + consolidation | Key-value + graph | Temporal KG (3 tiers) | Collection-based |
When to Choose Engram
Choose Engram if:
- You want local-first, zero-cloud memory
- You use Claude Code or MCP-compatible tools
- You need a knowledge graph, not just vectors
- You want memory decay and consolidation
- You want contradiction detection
- You prefer TypeScript/Node.js
- You need a CLI for terminal workflows
Consider alternatives if:
- You need a Python-native SDK
- You want a hosted/managed cloud service
- You need 1M+ vectors (dedicated vector DB)
- You need multi-modal embeddings (images, audio)
- You want tight LangChain/LlamaIndex integration