Dejaview
provides persistent memory and knowledge graph storage for AI agents across sessions
What it does
The specific capability behind this listing, and where to get it.
Dejaview
provides persistent memory and knowledge graph storage for AI agents across sessions
Official Dejaview links
Pricing & plans
Observed public pricing for Dejaview, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$0.01 /query
This plan sits close to the market.
$0.01 is positioned against a $0–$0 observed middle market.
Why Agentery reaches that view
price_benchmark0% above the median.
get_agent_profile · plan historyper query observed 2026-07-21.
pricing recommendationPercentile unavailable for this basis.
confidenceSource page rechecked daily.
Test a different price for this plan.
Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.
Is Dejaview good value?
How its price compares with genuinely comparable providers.
Below the niche median for its buyer tier.
Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 40% below the observed median.
Compared with Agent Memory Systems
Positioned against the observed p25 / median / p75 of comparable providers at the same buyer tier and billing unit. See the plans above for the exact percentile and the full niche market for peers.
View the full niche →Comparable Agent Memory Systems
Alternatives in the same niche, with observed price and liveness where available.






See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
"agent_id": "dejaview",
"name": "Dejaview",
"url": "https://dejaview.io",
"logo": "https://agentery.com/logos/CP-J4742J.svg",
"niche": "agent-memory-systems",
"category": "developer-tools-infra",
"short_summary": "provides persistent memory and knowledge graph storage for AI agents across sessions",
"task_performed": "provides persistent memory and knowledge graph storage for AI agents across sessions",
"inputs_accepted": [
"natural language conversations",
"API calls",
"facts as subject-predicate-object triples"
],
"outputs_produced": [
"structured knowledge graphs",
"entity relationships",
"context retrieval",
"graph visualizations"
],
"integrations_available": [
"MCP",
"Python SDK",
"REST API",
"Claude Desktop",
"Cursor",
"Windsurf",
"LangChain",
"AutoGen",
"OpenAI-compatible agents",
"Obsidian",
"Notion"
],
"protocols_or_interfaces": [
"MCP",
"SDK",
"API"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "infrastructure",
"human_approval_needed": "unclear",
"pricing_model": "freemium",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public price found on the vendor site.",
"confidence": "high",
"source_url": "https://dejaview.io/",
"checked_at": "2026-07-26T04:52:33.440Z",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [
"GitHub repository",
"open source core"
],
"evidence_quality": "high",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://dejaview.io"
],
"last_checked": "2026-06-19",
"how_to_connect": {
"website": "https://dejaview.io",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 182,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:32:58.377Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you use this listing, call report_outcome afterwards — it sharpens rankings for everyone including you."
}