| What it does | The Enterprise Agent Build & Runtime for the work your business runs on
| One memory, every AI tool. Write once, recall anywhere.
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | Not given
| Not given
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Free plan with 50 workflow executions per month and visual editor. Enterprise plan with custom pricing includes governance, dedicated VPC, and comprehensive support.
| Free: $0 with 1,000 queries/day, 10,000 atoms, 60 req/min. Pro: $29/mo with 50,000 queries/day, 500,000 atoms, 600 req/min. Team: $149/mo with 500,000 queries/day, 5,000,000 atoms, 3,000 req/min. Enterprise: Custom limits and pricing.
|
|---|
| Key features | - Visual editor and AI copilot
- No-code visual editor, exportable to Python
- Code-first API built for total control
- Real-time tracing of every LLM call, tool call, and memory read
- RBAC and audit with immutable audit trails and Enterprise IAM
- Human-in-the-loop approval gates and intervention during execution
- Runtime hooks inject PII redaction and policy checks
- Automated and human-guided training for continuous improvement
- Multi-LLM testing for model swapping at runtime
- GitHub integration
| - Persistent cross-tool memory API working with Claude, Cursor, VS Code, ChatGPT, Python, and any HTTP client
- Hebbian associations that strengthen links between concepts recalled together
- Outcome feedback that re-ranks recall based on usefulness
- Automatic query expansion along learned associations
- Python SDK with typed errors for write, read, feedback, and stats
- REST API for any HTTP client
- Per-tenant org isolation and SHA-256 hashed API keys
|
|---|
| What makes it different | - Agentic use case generator powered by billions of agent runs
- Intelligently guided by 700k agent workflow patterns
- Control Plane sits in execution path ensuring every agent interaction is observable, compliant, and reversible
- Every production run turns into training data to sharpen accuracy and save money
| - Learns from outcomes and improves over time, unlike vector databases that only perform similarity search
- Works across every AI tool with a single API key, not locked to one platform
- Complementary to RAG: remembers outcomes and lessons, not just document similarity
- Free tier with full API access and MCP server, no credit card required
|
|---|
| Free plan | Not given
| Not given
|
|---|
| Open source | Not given
| Not given
|
|---|
| Platforms | Not given
| Not given
|
|---|
| Public API | Not given
| Not given
|
| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 80 ▲ +1 (up) since last check | 40 ▼ −1 (down) since last check |
| Trust Flow (Majestic) | 31 | 7 |
| Citation Flow (Majestic) | 54 | 37 |
| Referring domains (Majestic) | 8286 | 200 |