L1 Pointer Layer
Handles fast indexing and context routing to decide what memory should be read next.
Built for Reliable Agent Workflows
Independent research for teams that want a clearer view of Kairos memory design, ecosystem compatibility, and practical deployment paths.
Paste a task and preview how it can be split into L1 pointers, L2 facts, and L3 logs.
Handles fast indexing and context routing to decide what memory should be read next.
A practical guide to schedule, review, and improve memory consolidation windows.
Reserve a stable off-peak slot so consolidation runs without user-facing latency.
Define what should be promoted to L2 facts and what stays as low-priority logs.
Start the next session with sampled tasks and verify continuity, relevance, and drift.
Ranked list with clear ratings, use cases, and onboarding difficulty.
| Server | Rating | Use Case | Difficulty |
|---|---|---|---|
| Disk Auto Writer | 4.8/5 | Persistent run logs and checkpoint recovery | Easy |
| Network Sentinel | 4.6/5 | Network anomaly detection and alert pipelines | Medium |
| Cron Memory Sync | 4.5/5 | Nightly consolidation snapshots for long workflows | Easy |
| Open Community Picks | 4.4/5 | Curated stack selection by scenario and scale | Medium |
Create a starter workflow in seconds and adapt it to your own operations.
// Your generated workflow will appear here.
A practical research template to test hosting assumptions and iterate quickly.
#!/usr/bin/env bash
set -euo pipefail
export KAIROS_MODE=daemon
export MEMORY_BACKEND=hybrid
export DREAM_WINDOW="02:00-04:00"
echo "[kairos] bootstrap ready"
{
"functions": {
"api/daemon.js": {
"maxDuration": 60
}
},
"crons": [
{
"path": "/api/autodream",
"schedule": "0 2 * * *"
}
]
}
Pick a practical starting point and ship your first reliable workflow faster.
Choose a path that matches your current stage: fundamentals, comparisons, or applied workflows.