Agentery pricing intelligence · Provider profile · Julep
Provider profile · independently tracked by Agentery
Julep logo

Julep

julep.ai official website

captures and organizes team and agent context into a shared persistent memory store, syncing conversations, notes, and decisions across AI tools

infrastructurePricing checked daily
Agentery value verdictPremium-pricedfrom $150/mo
Observed entry price$150/molowest observed monthly
Billing modelfreemium
Last checked2 Sept 2026pricing & liveness

What it does

The specific capability behind this listing, and where to get it.

Julep

captures and organizes team and agent context into a shared persistent memory store, syncing conversations, notes, and decisions across AI tools

conversations, meetings, notes, snippets, and decisions from Gmail, Slack, Granola, Fathom → connected memories, organized pages grouped by project/person/decision, living playbooks, recall answers across agents
ClaudeChatGPTCursorSlackRaycastLinearGranolaFathomUCPMCPautonomy: infrastructure

Pricing & plans

Observed public pricing for Julep, benchmarked against comparable providers. Plans, tiers, history and scenario below.

Pricing · observed daily
Teams · market position

$150 /mo

0% above the Team flat median (15 providers, USD). Cheaper than 7 of 68 comparable Team providers.
this agent · $150
$99.50median $150$274.50
observed 2026-07-11 · rechecked daily · source evidence retained
What should this agent charge?

This plan sits close to the market.

pricing recommendation
$150
$99.50$274.50
$150

$150 sits inside the observed Team flat range ($99.50–$274.50) — around the 50th percentile of observed prices — squarely at market.

Pricing checks returned

Why Agentery reaches that view

price_benchmark

0% above the Team flat median.

get_agent_profile · plan history

Teams observed 2026-07-11.

pricing recommendation

~50th percentile of comparable Team flat plans.

confidence

high; source page rechecked daily.

Interactive provider scenario

Test a different price for this plan.

Move the proposed monthly price. Agentery recalculates the provider’s market position and explains the likely percentile.

$150 / month
$99.50 lowestmedian $150$450 highest
At-market position. At $150/month, this plan is 0% above the niche median.
14th
+0%
$99.50$274.50

Is Julep good value?

How its price compares with genuinely comparable providers.

Premium-priced

Premium-priced for its buyer tier.

Benchmarked against comparable providers at the same buyer tier and billing unit — the entry plan sits 3650% above the observed median.

Observed commercial price$150/mo
NicheAgent Orchestration Platform
Price benchmarkapplicable
How it compares

Compared with Agent Orchestration Platform

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 →

Julep's local market

Nearest products by what they do.

See the full market →
See the MCP response behind this page · get_agent_profile()
See the MCP response behind this pageget_agent_profile
{
  "agent_id": "julep",
  "name": "Julep",
  "url": "https://julep.ai",
  "logo": "https://agentery.com/logos/CP-EZKYY2-ld256.png",
  "niche": "agent-orchestration-platform",
  "category": "developer-tools-infra",
  "short_summary": "captures and organizes team and agent context into a shared persistent memory store, syncing conversations, notes, and decisions across AI tools",
  "task_performed": "captures and organizes team and agent context into a shared persistent memory store, syncing conversations, notes, and decisions across AI tools",
  "inputs_accepted": [
    "conversations",
    "meetings",
    "notes",
    "snippets",
    "and decisions from Gmail",
    "Slack",
    "Granola",
    "Fathom",
    "Claude",
    "Codex",
    "Cursor"
  ],
  "outputs_produced": [
    "connected memories",
    "organized pages grouped by project/person/decision",
    "living playbooks",
    "recall answers across agents"
  ],
  "integrations_available": [
    "Claude",
    "ChatGPT",
    "Cursor",
    "Slack",
    "Raycast",
    "Linear",
    "Granola",
    "Fathom",
    "OpenCode",
    "Codex",
    "Gmail",
    "MCP",
    "GitHub",
    "Discord"
  ],
  "protocols_or_interfaces": [
    "UCP",
    "MCP"
  ],
  "industry_fit": [
    "general business",
    "team productivity",
    "sales",
    "developer tools"
  ],
  "autonomy_level": "infrastructure",
  "human_approval_needed": "unclear",
  "pricing_model": "freemium",
  "price": {
    "observed": false,
    "billing": "unknown",
    "currency": null,
    "lowest_monthly_usd": null,
    "monthly_usd": null,
    "headline": "No public price found",
    "summary": "No public price found on the vendor site.",
    "confidence": "low",
    "source_url": "https://memory.store/pricing",
    "checked_at": "2026-08-30T05:34:42.134Z",
    "amount": null,
    "display": null,
    "plans": [],
    "source": "render+llm"
  },
  "trust_or_rating_signal": [
    "Backed by Y Combinator",
    "open source on GitHub",
    "All systems operational status page"
  ],
  "evidence_quality": "medium",
  "entity_type": "infrastructure",
  "regulated_data_suitability": "enterprise security page only",
  "evidence_urls": [
    "https://julep.ai",
    "https://github.com/julep-ai/julep"
  ],
  "last_checked": "2026-06-16",
  "how_to_connect": {
    "website": "https://julep.ai",
    "docs": "https://julep.ai/documentation",
    "mcp": null,
    "a2a": null,
    "api": {
      "docs_url": "https://julep.ai/developer",
      "endpoint": null
    },
    "protocols": [
      "UCP"
    ],
    "note": "Speaks UCP but publishes no endpoint we could verify — check the docs/website."
  },
  "liveness": {
    "probed": true,
    "alive": true,
    "endpoint_kind": "site",
    "latency_ms": 1051,
    "uptime_7d": 1,
    "checked_at": "2026-09-02T02:36:43.637Z",
    "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."
}