One memory layer.
Every AI platform.
Your agents recall everything — across Claude, GPT, Gemini, Cursor, and any framework. Persistent memory that works everywhere, instantly.
How It Works
| ENDPOINT | CALLS | TOKENS | AVG LATENCY | ERRORS |
|---|---|---|---|---|
| /extract | 719 | 508,998 | 1240ms | 0 |
| /extract/batch | 512 | 16,057,777 | 980ms | 0 |
| /memories/extract | 378 | 117,898 | 0ms | 0 |
| /recall | 128 | 120,982 | 185ms | 0 |
| /memories | 42 | 0 | 42ms | 0 |
| /agents | 32 | 0 | 28ms | 0 |
| HEADLINE | TYPE | IMPORTANCE | CREATED | |
|---|---|---|---|---|
| User prefers TypeScript over JavaScript for new projects | preference | 0.8 | 4/17/2026 | × |
| Sprint 5 completed on April 7 with BM25 routing merged | event | 0.9 | 4/15/2026 | × |
| API rate limit increased to 10,000 req/min for Pro tier | fact | 0.7 | 4/14/2026 | × |
| Customer onboarding docs updated with new MCP guide | task | 0.6 | 4/12/2026 | × |
| Deployment architecture uses Postgres + pgvector + Redis | fact | 0.8 | 4/10/2026 | × |
| Q2 roadmap includes colocation migration to NYC3 region | decision | 0.9 | 4/08/2026 | × |
12345678910from zerolatency import Memory mem = Memory("zl_live_...") # Store a memory mem.add("User prefers Python and hates meetings before 10am") # Recall result = mem.recall("Schedule a code review") # → Python preference, no meetings before 10am. That's it.
Built for Agent Memory
Everything your agents need to remember, recall, and reason across sessions.
Temporal Intelligence
Memories decay, reinforce, and evolve over time. Half-life scoring ensures your agent prioritizes what's current, not just what's similar.
Knowledge Graph
Entity relationships with multi-hop traversal. Find connections between people, projects, and concepts — no Neo4j required.
Proactive Recall
Context injection without explicit search. Tiered loading (L0/L1/L2) fits your context window budget automatically.
Contradiction Detection
When facts change, old memories get superseded — not stacked. Correction cascading ensures your agent never serves stale context.
Negative Recall
Knows what it doesn't know. When context is missing, your agent says "I don't have that information" instead of hallucinating.
Custom Criteria
Define scoring attributes like urgency, joy, or confidence. Re-rank recalled memories by what matters to your application.
Version History
Full changelog per memory. Every update snapshots the previous state. Audit trail for compliance and debugging.
Webhooks
Real-time notifications on memory events. HMAC-signed payloads with retry logic and delivery audit logs.
Organization Memory
Shared memory across team agents. Promote individual memories to org level. Build institutional knowledge.
Automatic Secret Detection
Every inbound memory is scanned for API keys, tokens, and credentials. Secrets are blocked before storage — never accidentally persist sensitive data in agent memory.
Agent Orchestration
Multi-agent memory sharing with scoped access controls. Agents coordinate through shared memory without stepping on each other.
Self-Improving Memory
Confidence scoring that strengthens with reinforcement. Memories evolve based on usage patterns — frequently recalled facts gain weight, stale ones decay.
Feature Comparison
What you get at each tier — and what competitors charge for the same features.
| Feature | 0Latency Free | 0Latency Pro | 0Latency Scale | Mem0 Pro | Zep Flex+ |
|---|---|---|---|---|---|
| Price | $0/mo | $29/mo | $99/mo | $249/mo | $475/mo |
| Memories | 10,000 | 100,000 | 1,000,000 | Unlimited | 300K credits |
| Agents | 3 | 25 | Unlimited | — | 5 projects |
| Recall Speed | Synchronous | Synchronous | Synchronous | ~300ms | ~200ms |
| Temporal Decay | ✓ | ✓ | ✓ | ✗ | ✗ |
| Proactive Injection | ✓ | ✓ | ✓ | ✗ | ✗ |
| Negative Recall | ✓ | ✓ | ✓ | ✗ | ✗ |
| Knowledge Graph | ✗ | ✗ | ✓ | ✓ | ✓ |
| Contradiction Detection | ✓ | ✓ | ✓ | ✗ | ✓ |
| Webhooks | ✗ | ✓ | ✓ | ✗ | ✓ |
| Priority Support | ✗ | ✗ | ✓ | ✓ | ✓ |
| SOC 2 | ✗ | ✗ | Roadmap | ✓ | ✓ |
Our $99/mo Scale plan includes everything Mem0 charges $249/mo for — 64% less — and features they don't have at any price.
Built for developers who ship
Three things that make 0Latency different.
3 lines of code
Import, initialize, recall. That's the entire integration.
mem = Memory("zl_live_...")
mem.recall("what does the user prefer?")
7 Tools, Zero Config
All memory operations exposed as native MCP tools.
memory_addStore facts & context
memory_recallRetrieve instantly
memory_searchSemantic search
memory_listBrowse & paginate
memory_deleteRemove by ID
memory_graphEntity relationships
list_agents
— Manage namespaces
Install in 60 Seconds
$ export ZERO_LATENCY_API_KEY=zl_...
$ 0latency-mcp
✓ 0Latency MCP server running
Simple, transparent pricing
Start free. Scale without limits. No contracts, cancel anytime.
✓ 30-day money-back guarantee · No questions asked
- 10,000 memories
- 3 agents
- 20 RPM rate limit
- Vector search + temporal decay
- Proactive context injection
- Community support
- 100,000 memories
- 10 agents
- 100 RPM rate limit
- Everything in Free
- Webhooks & batch operations
- Memory versioning
- Custom schemas
- 1,000,000 memories
- Unlimited agents
- 500 RPM rate limit
- Everything in Pro
- Graph Memory
- Negative Recall
- Organization Memory
- Custom scoring criteria
- Priority support
- Everything in Scale
- Dedicated infrastructure
- Custom SLAs
- SSO / SAML
- Audit logs
- Dedicated support engineer
Framework Integrations
Drop-in memory for the frameworks you already use.
🦜 LangChain
ZeroLatencyMemory extends BaseMemory — works with ConversationChain, custom chains, and LangGraph agents.
🚢 CrewAI
ZeroLatencyStorage — compatible with ShortTermMemory, LongTermMemory, and EntityMemory backends.
🤖 AutoGen
ZeroLatencyMemory — teachable agent hooks, system message augmentation, and multi-agent scoped memory.
💻 Cursor
Works natively as an MCP server in Cursor. Add to .cursor/mcp.json and your agent remembers context across every session.
🌊 Windsurf
Native MCP integration. Drop into your Windsurf config and get persistent memory across all your coding sessions.
View Docs →💬 Claude (claude.ai)
Connect directly in Claude.ai Settings → Connections. All 7 memory tools available instantly.
View Docs →🖥️ Claude Desktop
Add to claude_desktop_config.json. Works across all Claude Desktop conversations.
⚡ Claude Code
CLI tool and IDE integration with MCP server support for development workflows.
View Docs →More integrations on the roadmap — LlamaIndex, n8n, ChatGPT, Gemini, and more coming soon.
See it in action
A real AI agent survived context compaction and completed 15+ tasks in a 5-hour session. Read the full case study.
Read the Case Study →Build With Us
Help make 0Latency better. We'll return the favor.
Report a Bug
Find a confirmed bug and report it with reproduction steps.
Submit a PR
Fix a bug, add a feature, improve docs — get it merged.
Build & Share
Write a blog post, tutorial, or build an open source project with 0Latency.
The free tier gives you 10,000 memories and 3 agents — enough to build real projects. No credit card required.
View on GitHub and contribute →
How to claim: After contributing, email [email protected] with your GitHub username and contribution link. We'll review and send your promo code within 24 hours.
FAQ
What counts as a "memory"?
Each extracted fact, preference, or relationship from a conversation turn is one memory. A single conversation turn typically produces 1–5 memories.
Can I switch plans anytime?
Yes. Upgrade instantly, downgrade at end of billing period. No contracts, cancel anytime.
What happens if I hit my memory limit?
Extract calls will return a 429 error. Recall continues to work. Upgrade to a higher plan for more capacity.
What's the difference between Pro and Scale?
Pro gives you unlimited memories with 10 agents, plus webhooks, versioning, and batch operations. Scale adds Graph Memory, Negative Recall, Organization Memory, custom scoring criteria, and priority support — all at $99/mo (64% less than Mem0's comparable tier).
Do you offer annual billing?
Yes! Toggle the Annual switch on the pricing section above. You'll save 20% — Pro drops to $23.17/mo ($278/yr) and Scale to $71.17/mo ($854/yr).