
Cowork Semantic Search
Local semantic search MCP server for documents. Indexes files into a vector database, enabling AI agents to search across your document library without APIs or…
What it does
The specific capability behind this listing, and where to get it.
Cowork Semantic Search
Local semantic search MCP server for documents. Indexes files into a vector database, enabling AI agents to search across your document library without APIs or…
Official Cowork Semantic Search links
Pricing & plans
Observed public pricing for Cowork Semantic Search, benchmarked against comparable providers. Plans, tiers, history and scenario below.
$4 /mo
This plan sits close to the comparable median.
Comparison withheld: no comparable Team flat cohort in enterprise-ai-search. A flat plan is only benchmarked against flat peers in the same niche.
Why Agentery reaches that view
price_benchmarkComparison withheld — no matching-unit cohort.
get_provider_profile · plan historyTeam observed 2026-07-10.
pricing recommendationWithheld — unit mismatch.
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 Cowork Semantic Search good value?
How its price compares with genuinely comparable providers.
Not enough evidence yet to call it good — or poor — value.
Too few comparable providers at the same buyer tier and billing unit to benchmark this price honestly.
Check capability before deciding
Compare language support, semantic depth, installation model against the few observed peers — Agentery keeps the price status explicit and never invents a verdict.
View the full niche →Cowork Semantic Search's local market
Nearest products by what they do — a different cohort from the buyer-tier benchmark above.
See the MCP response behind this page · get_provider_profile()
See the MCP response behind this pageget_provider_profile (get_agent_profile remains a callable alias)
{
"agent_id": "cowork_semantic_search",
"name": "Cowork Semantic Search",
"url": "https://github.com/ZhuBit/cowork-semantic-search",
"logo": "https://github.com/ZhuBit.png?size=200",
"niche": "enterprise-ai-search",
"category": "research-knowledge-work",
"short_summary": "Local semantic search MCP server for documents. Indexes files into a vector database, enabling AI agents to search across your document library without APIs or…",
"task_performed": "unclear",
"inputs_accepted": [],
"outputs_produced": [],
"integrations_available": [],
"protocols_or_interfaces": [
"MCP"
],
"industry_fit": [],
"autonomy_level": "unclear",
"human_approval_needed": "unclear",
"pricing_model": "unclear",
"price": {
"observed": false,
"billing": "not_found",
"currency": null,
"lowest_monthly_usd": null,
"monthly_usd": null,
"headline": "No public price found",
"summary": "No public pricing was observed for this open-source semantic search project.",
"confidence": "medium",
"source_url": "https://github.com/ZhuBit/cowork-semantic-search",
"checked_at": "2026-10-19T01:32:18.173Z",
"source_kind": "vendor",
"amount": null,
"display": null,
"plans": [],
"source": "render+llm"
},
"trust_or_rating_signal": [],
"evidence_quality": "unclear",
"entity_type": "mcp_server",
"regulated_data_suitability": "unclear",
"evidence_urls": [
"https://github.com/ZhuBit/cowork-semantic-search"
],
"last_checked": "2026-10-19",
"profile_checked": null,
"price_checked": "2026-10-19",
"how_to_connect": {
"website": "https://github.com/ZhuBit/cowork-semantic-search",
"docs": null,
"mcp": null,
"a2a": null,
"api": null,
"protocols": [
"MCP"
],
"install": "git clone https://github.com/ZhuBit/cowork-semantic-search.git cd cowork-semantic-search",
"repository": "https://github.com/zhubit/cowork-semantic-search",
"note": "Speaks MCP but publishes no endpoint we could verify — check the docs/website."
},
"deployment": {
"model": "self_hosted",
"both_offered": false,
"hosted_endpoint": null,
"install": "git clone https://github.com/ZhuBit/cowork-semantic-search.git cd cowork-semantic-search",
"note": "You run it yourself: install from the published command/package; no vendor endpoint found.",
"evidence": {
"sources": [
"page_text:install",
"page_text:licence"
],
"excerpt": "l extraction with metadata CSV .csv Row-based text extraction Quick Start 1. Install git clone https://github.com/ZhuBit/cowork-semantic-search.git cd cowork-semantic-sea",
"url": "https://github.com/ZhuBit/cowork-semantic-search",
"observed_day": "2026-10-22",
"age_days": 2,
"hosted_evidence": null,
"rule": "deploy-v1"
}
},
"licence": {
"name": "AGPL",
"note": "Named licence as published; applies to the code, not to where it runs.",
"evidence": "page text: \"c-search vector-search Resources Readme AGPL-3.0 license Activity Stars 29 stars\"",
"observed_day": "2026-10-22",
"age_days": 2
},
"evidence_checks": {
"price": {
"source_url": "https://github.com/pricing",
"last_observed_day": "2026-07-10",
"age_days": 106,
"verified_day": null,
"note": "not verified by the page-text gate"
},
"agent_card": {
"status": "unknown",
"note": "no Agent Card URL recorded for this listing"
},
"endpoint": {
"status": "unknown",
"note": "endpoint not yet checked"
}
},
"product_group": null,
"liveness": {
"probed": true,
"alive": true,
"endpoint_kind": "site",
"latency_ms": 270,
"uptime_7d": 1,
"checked_at": "2026-10-23T02:33:52.566Z",
"consecutive_failures": 0,
"status": "alive"
},
"price_extras": {
"free_tier": null,
"unit_cost": null
},
"reported_success": null,
"feedback": "If you actually use this provider, call report_outcome with the result. Testing Agentery's connection or retrieval is not provider use and is stored unweighted."
}