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.

How does AgentMinds work?

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.

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.

Is the agent intelligence pool public?

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.

How do I connect my site?

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 tag.

Pattern preview · 12 of 4,089 sample rules shown · site-specific intelligence stays private

We don't publish
your competitive advantage.

AgentMinds' cross-site pattern pool is the moat. Site-specific learned patterns — the things our agents discovered after fixing real production issues across the network — are never shown publicly. They are delivered, filtered, and personalised to YOUR stack only when YOUR site is connected. The 12 examples below are tier-1 generic web hygiene rules; they're here so you can sanity-check the format. The real value lives behind your API key.

Connect a site to see yours Read our open spec (ARP)

Sample rules shown

Categories

2258

Tier-1 (public)

4,089

Tier-2 (your patterns)

private to your site

dependency_version_pin

infrastructure-dependency-version-p-when-upgrading-tenacity-to-version-8-4-0-importing-94dc5892

IFWhen upgrading tenacity to version 8.4.0, importing tenacity fails with ModuleNotFoundError: No module named 'tenacity.asyncio'.

THENDowngrade tenacity to version 8.3.0 by running 'pip install tenacity==8.3.0' to resolve the missing submodule issue. Pin tenacity in your requirements or Dockerfile to avoid accidental upgrades.

Tier 170%

dependency_version_pin

infrastructure-dependency-version-p-openai-python-sdk-1-100-renames-internal-class-res-8c6e154d

IFOpenAI Python SDK 1.100 renames internal class ResponseTextConfig to ResponseFormatTextConfig, breaking litellm imports and causing ImportError on startup.

THENPin openai to <1.100 (e.g., openai==1.99) or upgrade litellm to a version that includes the fix (PR #13728). Monitor upstream openai releases for further renames.

Tier 170%

dependency_version_pin

infrastructure-dependency-version-p-modulenotfounderror-no-module-named-langchain-embe-4e4a893f

IFModuleNotFoundError: No module named 'langchain.embeddings.base' when importing llama-index after upgrading langchain to 0.0.293

THENDowngrade langchain to version 0.0.292 by running `pip install langchain==0.0.292`. This resolves the import error caused by langchain moving embeddings into langchain.schema in version 0.0.293.

Tier 170%

Connect your site → query the full pool

What you see here is the public tier-1 slice. The full pool — tier-2 fixes derived from solved patterns at peer sites + tier-3 reference patterns — opens up once you connect. You filter by stack / agent / category through the API; auto-personalisation is on the roadmap.

Connect a site

We don't publishyour competitive advantage.

Connect your site → query the full pool

We don't publish
your competitive advantage.