Jylus vs LeanCTX
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Jylus compared with LeanCTX
| Detail | 
Jylus | 
LeanCTX |
|---|
| What it does | The governed evidence and state layer for enterprise AI
| The Context Gateway for AI systems
|
|---|
| Stage | Not given
| Not given
|
|---|
| Founded | Not given
| Not given
|
|---|
| Based in | AU
| CH
|
|---|
| Pricing model | Freemium
| Freemium
|
|---|
| Pricing | Not given
| Community: Free (open-source, local use). Pro: $9/month or $90/year (personal cloud sync, 1 GB hosted index). Team: $29/month per seat or $290/year per seat (team server, shared workspace, 20 GB index, 1-25 seats). Enterprise: Contact for pricing.
|
|---|
| Key features | - Drop in text, JSON or log files up to 32 KB
- Single-use trial with no account required
- API access with read and write scoped keys
- Timeline evidence and state change tracking
| - Source selection and retrieval with task-relevant context at configurable depth
- Access controls via PathJail boundary enforcement and role-based permissions
- Read-time content filters for injection patterns and personal data detection
- Memory and continuity to retain findings and connections across sessions
- Evidence and outcomes recording with source references and usage audit trails
- Integration with AI tools via SDK, MCP, hooks and supported client adapters
- Local, VPC, on-premises and offline deployment options
- Optional production intelligence for planning, ranking and routing enhancements
- SDK with five stable primitives and six Agent Tools language contracts
- Context cache, reference routing and usage accounting
|
|---|
| What makes it different | - Source-backed proof IDs for every fact
- Separates what happened from what was known at the time
- Explicit contradictions and missing evidence in Context Packs
- Free trial with 1 GB storage and 1,000 events/sec capacity
| - Deterministic, model-agnostic context processing independent of AI provider choice
- Governs context without controlling model calls, keeping AI decisions under user ownership
- Records measurable impact with 64.1% reported context reduction in field use
- Open-source core (Apache 2.0) with commercial tiers for teams and enterprises
- Transparent governance with separate evaluation of task outcome from context delivery
|
|---|
| Community votes | 0 | 0 |
|---|
| DR (Domain Rating by Ahrefs) | 1 ▼ −1 (down) since last check | 42 ● no change since last check |
|---|
| Trust Flow (Majestic) | 0 | 3 |
|---|
| Citation Flow (Majestic) | 21 | 35 |
|---|
| Referring domains (Majestic) | 13 | 212 |
|---|
5 details filled in for both companies.
More alternatives to Jylus More alternatives to LeanCTX