Your AI agents forget everything.
Fix that.
Snipara Agents gives your AI persistent memory, intelligent caching, and real-time multi-agent coordination. Build agents that remember, learn, and work together.
The Agent Problem
Building production-grade AI agents is harder than it looks.
Agents forget between sessions
Every conversation starts from scratch. User preferences, past decisions, learned patterns — all lost.
Multi-agent coordination is a mess
Agents step on each other. No shared state, no resource locking, no task handoffs. Chaos at scale.
Same queries, same compute, same cost
Every query recomputes embeddings, searches, ranks. Repeated questions cost the same as new ones.
Building from scratch is slow
Redis, Postgres, pgvector, pub/sub — you need months of infra work before writing agent logic.
Three Pillars of Agent Intelligence
Everything you need to build agents that actually work in production.
Agent Memory Layer
Persistent semantic memory that survives sessions. Your agents remember user preferences, past decisions, and learned patterns — with automatic confidence decay for stale information.
- Semantic recall with embedding similarity
- Auto-categorization (facts, decisions, preferences)
- Confidence decay over time
- Scoped memory (agent, project, team, user)
- Memory consolidation and pruning
agent.memory.store("user prefers dark mode")Memory stored: PREFERENCE scope=useragent.memory.recall("user theme preference")Found: "user prefers dark mode" (0.94)Context Caching
Multi-layer caching for instant responses. Exact match cache for repeated queries, semantic cache for similar questions. Stop paying to recompute the same thing.
- L1: Exact match cache (Redis, <1ms)
- L2: Semantic similarity cache (pgvector)
- L3: Document chunk cache
- Auto-invalidation on document changes
- Cache pre-warming for common queries
Multi-Agent Coordination
Real-time state sync between cooperating agents. Resource locking, task queues, and event broadcasting. Build swarms that actually coordinate instead of collide.
- Swarm orchestration with role assignments
- Resource claiming with TTL locks
- Shared state with atomic updates
- Real-time event broadcasting (pub/sub)
- Task queue with claim semantics
SWARM: code-review
How We Compare
Purpose-built for agent workflows, priced for developers.
| Feature | Zep | CrewAI | Mem0 | Snipara Agents |
|---|---|---|---|---|
| Entry Price | $25/mo | $25/mo | Free (limited) | $15/mo |
| Mid-tier | $475/mo | Custom | Undisclosed | $39-79/mo |
| Agent Memory | Session only | Limited | 10K free | 1K-Unlimited |
| Context Caching | No | No | No | L1 + L2 + L3 |
| Multi-Agent Swarms | No | Yes | No | Yes + Real-time |
| Snipara Integration | No | No | No | Native |
Simple, Developer-Friendly Pricing
Start experimenting at $15. Scale to production when ready.
Starter
Solo devs experimenting
- 1,000 agent memories
- 7-day retention
- Semantic recall
- 5-min cache TTL
- 1 swarm (2 agents)
- Community support
Pro
Teams building workflows
- 5,000 agent memories
- 30-day retention
- Semantic cache (L2)
- 30-min cache TTL
- 5 swarms (5 agents each)
- Task queue
- Email support
Team
Production multi-agent
Requires Context Team ($49/mo)
- 25,000 agent memories
- 90-day retention
- 2-hour cache TTL
- 20 swarms (15 agents)
- Real-time events
- 100 pre-warm queries
- Priority support
Enterprise
Large-scale infrastructure
Requires Context Enterprise ($499/mo)
- Unlimited memories
- Unlimited retention
- 24-hour cache TTL
- Unlimited swarms (50 agents)
- Unlimited pre-warming
- Dedicated support
- SLA guarantee
Bundle with Snipara Context
Already using Snipara for context optimization? Add Agents and save 20-25% on combined pricing.
Built For Real Agent Workflows
From single-agent assistants to complex multi-agent systems.
Code Review Swarms
Multiple agents analyze code in parallel — security, style, performance. Results merge without conflicts.
Customer Support Bots
Remember customer preferences, past issues, and resolution patterns. No more "I see you've contacted us before."
Research Agents
Agents share findings in real-time. No duplicate work, no conflicting conclusions.
CI/CD Automation
Test, deploy, monitor — each agent owns a stage. Cached results speed up repeated runs.
Data Pipeline Orchestration
Coordinate extraction, transformation, and loading agents. Track state across the pipeline.
Personal AI Assistants
Your assistant remembers your preferences, past conversations, and learned patterns.
Stop rebuilding agent infrastructure from scratch.
Memory, caching, and coordination — ready to use in minutes. Start at $15/mo.