Give Your AI Agents Long-Term Memory
Reduce token costs by 90%+ with semantic context retrieval. Your AI agents remember user preferences, past conversations, and relevant context across sessions.
90%+
Token cost reduction with intelligent context retrieval
<50ms
Semantic similarity search using pgvector
Unlimited
Tier-based storage up to unlimited for Enterprise
The Context Window Dilemma
Every AI request starts from scratch. Your agents repeat the same context every turn, burning through tokens and frustrating users who have to re-explain their preferences constantly.
Without Memory
Every conversation starts from zero...
tokens: 52,347
cost: $0.78
// Repeated context every turn
→ Expensive and repetitive
With Bastio Memory
Smart context retrieval on every request...
tokens: 847
cost: $0.01
// Only relevant context
→ 98% cost reduction
See the Difference
Compare a traditional AI request versus one powered by Bastio Memory. The difference is dramatic.
Intelligent Memory Features
Enterprise-grade memory system designed for production AI applications with security and privacy at its core.
Semantic Search
Find context by meaning, not keywords:
- pgvector with cosine similarity
- Sub-50ms retrieval time
- 1536-dimension embeddings
Auto User ID
Track users without auth changes:
- Device fingerprinting
- Works without login
- Stable across sessions
Duplicate Detection
Prevent context bloat:
- Near-duplicate filtering
- <0.05 similarity threshold
- Automatic deduplication
Privacy & Security
Enterprise-grade data protection:
- Per-proxy & per-user isolation
- Encrypted at rest
- No cross-user leakage
Smart Retention
Configurable memory lifecycle:
- 1 hour to 90 day retention
- LRU eviction for capacity
- Tier-appropriate defaults
Injection Protection
Prevent memory poisoning:
- Pattern sanitization
- Dangerous content filtering
- Security-first design
Zero-Config Implementation
Enable memory in your proxy settings and add a user ID to your requests. That's it. No infrastructure, no embedding logic, no vector databases to manage.
response = client.chat.completions.create(
model='gpt-4',
messages=[{
"role": "user",
"content": "My favorite color is blue."
}],
user='user_12345' # Memory enabled!
)response = client.chat.completions.create(
model='gpt-4',
messages=[{
"role": "user",
"content": "What's my favorite color?"
}],
user='user_12345'
)
# "Your favorite color is blue!"Built for Every AI Application
Coding Assistants
Remember programming style, project context, and developer preferences across sessions.
- Preferred frameworks and patterns
- Project architecture context
Customer Support Bots
Recall customer history, previous issues, and preferences for personalized support.
- Past ticket summaries
- Customer sentiment tracking
Personalized Tutors
Track learning progress, adapt to student patterns, and remember mastery levels.
- Learning style preferences
- Topic mastery tracking
Research Assistants
Retain findings across multi-session research projects and complex investigations.
- Cross-session findings
- Source and citation memory
Tier-Based Storage
Generous limits at every tier with simple, predictable overage pricing.
| Plan | Memories / Proxy | Retention | Overage |
|---|---|---|---|
| Free | 1,000 | 24 hours | Hard limit |
| Starter | 50,000 | 30 days | $0.0002/memory |
| Pro | 500,000 | 30 days | $0.0001/memory |
| Enterprise | Unlimited | 90 days | Included |
Note: Limits are per proxy total, not per user. LRU (Least Recently Used) eviction applies when capacity is reached on paid tiers. Free tier blocks new memories when limit is reached.
Give Your AI Agents Memory Today
Start with 1,000 free memories per proxy. Zero infrastructure setup required. Enable memory with a single toggle.
Questions about memory for your use case? Contact us for a free consultation.