Every AI agent needs memory. But which system? Here's an honest comparison of Mem0, Zep, and Shodh—where each shines and where each falls short.
Mem0
$24M funding · 41K stars
Best for cloud-first teams wanting managed infrastructure and AWS integration.
Zep
LangChain partner · 20K stars
Best for temporal reasoning—tracking when things happened and how facts change.
Shodh
Edge-native · 15MB binary
Best for edge devices, offline operation, and privacy-sensitive deployments.
The Core Difference
All three store memories and retrieve them semantically. The difference is where and how:
- Mem0 runs in the cloud (or self-hosted Docker), uses external vector DBs, and requires API keys
- Zep runs in the cloud (or self-hosted), specializes in temporal knowledge graphs
- Shodh runs entirely on-device as a single binary—no network, no containers, no dependencies
Quick Comparison
| Aspect | Mem0 | Zep | Shodh |
|---|---|---|---|
| Deployment | Cloud / Docker | Cloud / Docker | Single binary |
| Offline? | ❌ | ❌ | ✅ |
| Latency | 200-500ms | 150-400ms | 5-50ms |
| Binary size | Docker image | Docker image | ~15MB |
| Pricing | $99/mo pro | $20/mo pro | Free forever |
What Makes Each Unique
Mem0: Enterprise Cloud Memory
Backed by $24M from AWS, Mem0 is building the "memory layer for AI" with deep cloud integration. If you're on AWS and want a managed service with enterprise support, Mem0 is the safe choice.
Best for: Enterprise teams on AWS · Managed infrastructure · LangChain/LlamaIndex users
Zep: Temporal Knowledge Graphs
Zep's killer feature is temporal reasoning. It tracks when facts were learned, how they've changed, and can answer questions like "What did the user believe last week?" Official LangChain partner with deep framework integration.
Best for: Chat history management · Fact versioning · Conversation summarization
Shodh: Edge-Native Cognitive Memory
Shodh is the only option that runs fully offline on constrained hardware. A single 15MB binary with embedded vector search, no external dependencies. Uses cognitive science principles (Hebbian learning, memory decay) for human-like memory behavior.
Best for: Robots & drones · Offline operation · Privacy-first · Cost-sensitive
Feature Deep-Dive
Here's where they differ on specific capabilities:
Common to All Three
- ✅ Semantic vector search
- ✅ Memory types/categories
- ✅ Tagging support
- ✅ Python SDK
- ✅ REST API
Shodh-Only Features
- 🧠 Hebbian learning (memories strengthen with use)
- 📉 Ebbinghaus decay (unused memories fade)
- 🔄 Memory consolidation (episodic → semantic)
- 🤖 ROS2 robotics integration
- 🔌 Claude Code MCP server
Code Examples
All three have clean Python APIs. Here's the same task in each:
# Mem0 - Cloud API
from mem0 import Memory
m = Memory() # Requires API key
m.add("User prefers dark mode", user_id="alice")
results = m.search("UI preferences", user_id="alice")# Zep - Cloud API
from zep_cloud.client import Zep
client = Zep(api_key="your-key")
client.memory.add(session_id="123", messages=[...])
results = client.memory.search(session_id="123", text="UI preferences")# Shodh - Local, no API key
from shodh_memory import Memory
m = Memory() # Runs entirely on device
m.remember("User prefers dark mode", memory_type="Decision")
results = m.recall("UI preferences")The Honest Trade-offs
Mem0
✓ Best-funded, most integrations, enterprise support
✗ Cloud dependency, higher cost ($99/mo), AWS-centric
Zep
✓ Best temporal reasoning, official LangChain partner
✗ Still requires infrastructure, smaller team than Mem0
Shodh
✓ Only true edge/offline solution, unique cognitive features, free
✗ No LangChain yet, no managed cloud option, newer project
Decision Guide
Building cloud chatbots on AWS?
→ Mem0
Need to track how facts change over time?
→ Zep
Deploying to robots, drones, or edge devices?
→ Shodh
Data can't leave the device (privacy/compliance)?
→ Shodh
Need to minimize costs?
→ Shodh (free) or Zep ($20/mo)
Get Started
# Mem0 (requires API key)
pip install mem0ai
# Zep (requires API key)
pip install zep-cloud
# Shodh (no API key, runs locally)
pip install shodh-memory
# Or add to Claude Code:
claude mcp add @shodh/memory-mcpBottom Line
The AI memory market is big enough for different approaches. Mem0 owns enterprise cloud. Zep owns temporal reasoning. Shodh owns edge and offline.
Pick based on where your code runs, not marketing. If it runs in the cloud, Mem0 or Zep. If it runs on a device, Shodh.