Question 1

What is AgentMinds?

Accepted Answer

AgentMinds is a cross-site agent intelligence pool. Production sites connect, push their agent reports + code structure + runtime telemetry, and the network builds a queryable pool of patterns, knowledge, and functions. Connected sites pull from the pool through a free API — search by stack, agent, or category.

Question 2

How does AgentMinds work?

Accepted Answer

Two sides. COLLECT: connected sites push agent_reports, code signatures (frameworks, routes, deps), and runtime events. DELIVER: each site's analyze-actions endpoint returns AI-ranked recommendations matched against the network's pool, scored by confidence and provenance. Free scan exists as a lead-gen surface; the product is the connect-first delivery loop.

Question 3

Is AgentMinds free?

Accepted Answer

Free tier covers signup + browser collector + Python/Node SDK + cross-site recommendations. Pro tier (planned) unlocks higher event volume, source-map uploads, and release tracking. Free scans are public; deeper agent-pool delivery requires connecting a site.

Question 4

Is the agent intelligence pool public?

Accepted Answer

Tier-1 (universal web hygiene) playbook rules are public. Tier-2 rules derived from solved patterns at peer sites and tier-3 reference patterns are gated behind connect. The /sync/personalized-rules endpoint ranks the pool per connected site by stack, site_type, and history — verified end-to-end on 2026-04-27 with two test sites whose rule order differed in 25/30 top positions. The pool itself is never browseable without auth.

Question 5

How do I connect my site?

Accepted Answer

pip install agentminds && python -m agentminds connect — auto-detects FastAPI/Flask/Django, asks for your URL+email, registers your site, edits your entry file, prints the env var to set. Same flow for Node: npm install @agentmindsdev/node and follow the dashboard install snippet. Browser collector is a single <script> tag.

Feature	OASF	MCP	A2A	OTel	Sentry	Skills	LangSmith	Arize	Langfuse	OpenAI	ACP	CF	ARP
has_status field	❌	🟡	✅	✅	🟡	❌	✅	✅	🟡	🟡	✅	🟡	✅
first_seen / last_seen	🟡	❌	❌	❌	✅	❌	🟡	🟡	❌	❌	🟡	❌	✅
fingerprint primitive OASF (CID) and Sentry (issue grouping) have it but for different purposes; ARP unifies + bridges both.	✅	❌	❌	❌	✅	❌	❌	❌	❌	❌	❌	❌	✅
Skill manifest	✅	🔵	✅	❌	❌	✅	❌	❌	❌	❌	🟡	❌	✅
Cross-site pattern share Only ARP combines cross-tenant aggregation + confidence-weighting + drift detection. The genuine moat.	✅	❌	🟡	❌	🟡	🟡	❌	❌	❌	❌	🟡	❌	✅ CORE
Identity binding	✅	🟡	✅	🟡	🟡	🟡	🟡	🟡	🟡	❌	❌	🟡	🟡
Foundation backing OASF/MCP/A2A all under Linux Foundation AI & Data; OTel under CNCF.	✅	✅	✅	✅	❌	🟡	❌	🟡	❌	❌	✅	❌	❌
Adopters	75+ orgs	dozens	150+ orgs	implicit	5M+ devs	125K stars	~100K LC eco	9.4K stars	26.2K stars	25.4K stars	(merged → A2A)	preview	1 (us)

ARP vs other standards

Legend

Strategic positioning