| What it does | Production infrastructure for AI applications with observability, governance, and multi-model support
| One memory for your AI agents and your team
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| Freemium
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| Pricing | Personal $15/month (25,000 credits); Starter $25/month (50,000 credits); Team $75/month (100,000 credits); Pro $375/month (500,000 credits). Additional credits available at $0.10 per 1,000 credits.
| Free: $0 forever with 1 agent per engine (up to 3 when friends refer), 1 GB memory. Pro: $12/month or $99/year per engine with 10 agents and 25 GB memory. Unlimited: $39/month or $299/year per engine with unlimited agents and 100 GB memory. Enterprise: from $6,000/year per install on your own server
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| Key features | - Step-level observability with traces showing status, latency, credits, and governance for every step
- Natural-language governance policies with flag and block thresholds
- Model portability: swap 200+ models at any time without code changes
- Automatic content ingestion and vector database indexing for RAG
- Persistent memory banks for conversation context
- Cost tracking per model, agent, and step with credit-based pricing
- Structured output validation ensuring quality responses
- HTTP endpoints for every agent with SDKs for Python, JavaScript, Go, and C#
- ML-based prompt scanner blocking injection attacks in real time
- Evaluation framework with evals that run locally, in CI, and in production
| - Connect ChatGPT, Claude, Claude Code and Cursor with a few clicks
- AI tools save decisions, notes, people, customers and files
- Search with semantic understanding, not just exact words
- Automatic summaries by day, week and month
- Link related memories automatically
- Prevent duplicate memories with deduplication
- Export all data as Markdown and JSON
- Separate engines for clients with no data crossing
- Fine-grained access control (read or read-and-save)
- Full history tracking for every change
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| What makes it different | - All production LLM features unified in one runtime with no orchestration stack to assemble
- Local development environment matches production exactly for debugging and verification
- Swap between 200+ models without changing code or workflow logic
- Governance and compliance built-in with real-time prompt injection blocking and policy evaluation
- Transparent credit-based pricing where all operations consume predictable, tracked credits
| - Keeps AI tools from forgetting context between sessions
- Data isolated per engine with no sharing between customers
- Fully portable—export anytime or delete permanently
- Pay per engine, never per person added to team
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| Free plan | Not given
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| Open source | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 9 ▲ +1 (up) since last check | 15 ▲ +3 (up) since last check |
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| Trust Flow (Majestic) | 6 | 13 |
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| Citation Flow (Majestic) | 20 | 28 |
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| Referring domains (Majestic) | 22 | 32 |
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Seclai
Context Engine