Works with Cursor, Claude, ChatGPT & more

AI models have knowledge cutoffs.
Knowledge bases don't.

Researched answers from official sources. Instant. For any AI.

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26,841+
Researched Answers
<1s
100 questions
10x cheaper in batch
Official Sources Only

300/month free. Sign in for 1,000/month. No credit card required.

Every complex task is just atomic questions.
We researched the answers so your AI doesn't have to search.

26,841 answers 0 domains Ready for your AI

See the Difference

Real outputs from the same questions. One with sources you can verify.

Example 1 TypeScript
Standard AI Claude Opus 4.5

Q: "What does TypeScript strict mode enable?"

"It includes flags like strictNullChecks, strictFunctionTypes, strictBindCallApply, strictPropertyInitialization, noImplicitAny, noImplicitThis, and alwaysStrict. Enabling strict mode is recommended for new projects."

No confidence score No source URL
With AgentsKB 99% confidence

Q: "What does TypeScript strict mode enable?"

"Strict mode enables 7 key options: (1) noImplicitAny, (2) strictNullChecks, (3) strictFunctionTypes, (4) strictBindCallApply, (5) strictPropertyInitialization, (6) noImplicitThis, (7) alwaysStrict."

typescriptlang.org/tsconfig ↗ Researched from official sources
Example 2 PostgreSQL
Standard AI Claude Opus 4.5

Q: "What % of PostgreSQL max_connections should my app use?"

"A common recommendation is to keep your pool to around 80-90% at most, leaving headroom for admin connections. Many practitioners suggest 70-80%, especially in production. The exact percentage depends on your workload."

No confidence score No source URL
With AgentsKB 99% confidence

Q: "What % of PostgreSQL max_connections should my app use?"

"Use 70% maximum. Reserve 30% for monitoring, maintenance, and spikes. Formula: pool.max = (max_connections * 0.7) / num_instances"

Monitor with: SELECT count(*) FROM pg_stat_activity;

wiki.postgresql.org ↗ Researched from official wiki
Exact numbers

Not "80-90%" ranges - exactly 70% with formula

Structured answers

Numbered lists, not "includes flags like..."

Click to verify

Source URL you can verify

Why AI Needs a Knowledge Base

The compounding problem

The problem

AI agents break tasks into steps. Each step needs facts.

If any step is wrong, the whole task can fail.

Web search mid-task is distracted - the model is trying to solve your problem, not research deeply.

Pre-researched answers

Research happens once, with full focus.

Every answer checked against official sources.

Your AI gets the researched answer instantly - no searching, no interpretation errors.

See Real Answers

Pre-researched from official sources

PostgreSQL99% confidence
Q

What's the default max_connections in PostgreSQL 16?

A

100 connections. This is set in postgresql.conf and can be increased, but requires a server restart. For production, calculate based on: max_connections = (available_ram - shared_buffers) / work_mem.

26,841+ researched answers across 0 domains

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Queries not stored
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How It Works

One line of config. That's it.

1

Add MCP Server

Add AgentsKB to your config file

2

Ask Questions

Your AI automatically queries AgentsKB

3

Get Answers

Researched answers from official sources

Plus any AI with API or MCP support

bash
# Add AgentsKB to Claude Code (free tier: 300/month)
claude mcp add --transport http agentskb https://mcp.agentskb.com/mcp-kb

# For Pro/Scale users - add your API key for full quota:
claude mcp add --transport http agentskb https://mcp.agentskb.com/mcp-kb \
  --header "X-AgentsKB-Key: YOUR_API_KEY"

# Verify it's registered
claude mcp list

Note: Get your API key at agentskb.com/dashboard after signing in with Google

Why AgentsKB?

Speed

<1s for 100 questions, ~500ms single. 10x cheaper in batch vs individual calls.

Efficiency

~500 tokens per answer vs 10,000+ for web search. 20x cheaper per query.

Focus

We research once with full attention. Agents searching mid-task are distracted.

Always Current

We track breaking changes. Next.js 15, Pydantic v2, etc. Your AI doesn't get stuck on old patterns.

Built for Your Technology

We're building Q&A libraries for popular technologies.

Next.js
+ PostgreSQL + Prisma
FastAPI
+ SQLAlchemy + Pydantic
React
+ TypeScript + Tailwind
Vue.js
+ Nuxt + Pinia
Docker
+ Kubernetes + AWS
Node.js
+ Express + MongoDB

Frequently Asked Questions

Everything you need to know about AgentsKB

We convert knowledge into Q&As for AI. We take technologies and break them into every question an AI could ask, then research each one properly - web search, official sources, full focus.

The answer is the product - not a by-product of distracted web search mid-task. When your AI queries AgentsKB, it gets knowledge that was researched the way you'd want it researched. If we can't cite it, we don't include it.

Perfect for:
  • Technical questions requiring exact, researched answers
  • Production code generation requiring researched best practices
  • Technical documentation and troubleshooting
  • Building reliable AI applications with any LLM or agent framework

Still have questions?

Email us at [email protected]

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