
Conxt
Persistent AI memory layer for developers. Never re-explain your stack to AI tools again. Conxt captures your decisions, coding rules, preferences, tool choic…
What it does
The specific capability behind this listing, and where to get it.
Persistent AI memory layer for developers. Never re-explain your stack to AI tools again. Conxt captures your decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf — and surfaces them automatically at the start of every new session. **8 MCP tools:** - [get_context](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:223:0-255:52) — load relevant memories for the current task - [get_memories](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:258:0-351:53) — list memories with type/source/date filters - [get_pinned](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:390:0-412:60) — fetch your pinned memories - [search_decisions](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:354:0-387:53) — search decisions and coding rules by topic - [add_memory](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:415:0-457:47) — s
Official Conxt links
Pricing & plans
Observed public pricing for Conxt, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$9 /mo
The current price is deliberately competitive.
$9 sits below the observed Pro flat range ($19–$49) — around the 8th percentile of observed prices. It reads as a value play; make sure the margin still works.
Why Agentery reaches that view
price_benchmark69% below the Pro flat median.
get_agent_profile · plan historyPro observed 2026-07-28.
pricing recommendation~8th percentile of comparable Pro flat plans.
confidencehigh; source 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 Conxt 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 69% 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": "conxt",
"name": "Conxt",
"url": "https://conxt.dev",
"logo": "https://agentery.com/logos/CP-79MVC2-256.png",
"niche": "agent-memory-systems",
"category": "developer-tools-infra",
"short_summary": "Persistent AI memory layer for developers. Never re-explain your stack to AI tools again.\n\nConxt captures your decisions, coding rules, preferences, tool choic…",
"task_performed": "Persistent AI memory layer for developers. Never re-explain your stack to AI tools again.\n\nConxt captures your decisions, coding rules, preferences, tool choices, and workflows across Claude, ChatGPT, Gemini, Cursor, and Windsurf — and surfaces them automatically at the start of every new session.\n\n**8 MCP tools:**\n- [get_context](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:223:0-255:52) — load relevant memories for the current task\n- [get_memories](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:258:0-351:53) — list memories with type/source/date filters\n- [get_pinned](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:390:0-412:60) — fetch your pinned memories\n- [search_decisions](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:354:0-387:53) — search decisions and coding rules by topic\n- [add_memory](cci:1://file:///c:/Users/pgava/Projects/conxt-engine/conxt_mcp/tools.py:415:0-457:47) — s",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [
"MCP"
],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [
"developer tools"
],
"autonomy_level": "workflow automation",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": true,
"billing": "freemium",
"currency": "USD",
"lowest_monthly_usd": 9,
"monthly_usd": 9,
"headline": "Free tier, then from $9/mo",
"summary": "Free tier, then from $9/mo. Conxt offers a permanent free tier, with Pro at $9 per month and Team at $25 per seat per month, both marked coming soon.",
"confidence": "high",
"source_url": "https://www.conxt.dev/auth",
"checked_at": "2026-07-28T04:18:42.629Z",
"amount": 9,
"display": "From $9/mo",
"plans": [
{
"name": "Free",
"price": "$0",
"period": null,
"persona": "free",
"highlights": [
"200 memory records",
"Manual capture",
"1 AI tool"
],
"price_annual": null
},
{
"name": "Pro",
"price": "$9 per month",
"period": "month",
"persona": "pro",
"highlights": [
"Unlimited memory records",
"Auto-capture on all tools",
"MCP IDE surfacing",
"Full JSON export",
"Coming soon"
],
"price_annual": null
},
{
"name": "Team",
"price": "$25 per seat / month",
"period": "month",
"persona": "team_sme",
"highlights": [
"Shared team memory",
"Admin controls",
"Audit trail",
"Coming soon"
],
"price_annual": null
}
],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "medium",
"entity_type": "infrastructure",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://conxt.dev"
],
"last_checked": "2026-06-30",
"how_to_connect": {
"website": "https://conxt.dev",
"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": 1021,
"uptime_7d": 1,
"checked_at": "2026-07-28T02:32:41.423Z",
"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."
}