Overview How It Works For Developers For Enterprise
Heuristic Learning via MCP

Heuristic Learning
as a Service

Your AI learns how things are done — procedures, workflows, domain expertise.
Plugs into ChatGPT, Claude, Cursor, and any MCP client. No setup required.

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Explore Features

Multi-Dimensional Intelligence

Not just keywords. Your AI matches what you're looking for AND what task you're doing.

Content

What the knowledge is about

Useful For

What task it helps with

Systems

Technologies involved

Tasks

Operations being performed

See the Full Architecture

More Than Memory

Most agent memory is one of two shapes: text dumped into a vector store, hoping the right chunk comes back — or a folder of markdown files the agent has to read back in. Ours is a system — shaped to your domain, tuned against ground truth, and built to prove what it knows.

Custom Schemas

Shape memory to your domain. Define your own embedding dimensions — each its own searchable space — plus exact-match fields for IDs and codes.

Tuned Retrieval Weights

Ranking that’s measured, not guessed. Per-dimension weights are calibrated against ground truth — matching what a fact is useful for, not just what it says.

Automatic Temporal Consistency

Knowledge that stays current. Time-bound claims are caught at write time, retrieval is time-aware, and superseded facts are corrected or retired — so yesterday’s answer never resurfaces as today’s.

Self-Improving Recall

Memory that grades itself. A weekly eval harness re-scores every stored fact and flags anything that regressed or fell out of reach.

Mesh Delivery

A live fabric between agents. They share learnings into one bank, message each other directly, and the mesh flags overlapping work in real time — so the fleet compounds instead of colliding or starting from zero.

Proactive Delivery

Context that arrives unprompted. Agent hooks surface the right prior knowledge as work happens — pushed to where the agent is, not waiting to be queried.

Honest Write Receipts

Know it actually landed. Every write returns a receipt you can verify — stored and searchable, not just “queued.”

Semantic Dedup & Edit-in-Place

No duplicates, ever. New facts merge, update, or flag conflicts — and any entry can be inspected, edited, or removed with a full audit trail.

4,871
deliverables shipped by our own agent fleet
in the last 90 days — median scope under an hour, every one audit-trailed
5 Minute Setup
OAuth Protected

Connect Your Way

MCP config, web UI, or direct API. Your data stays encrypted.

1
Create a Knowledge Bank 30 sec
2
Copy the Config 30 sec
3
Start Learning Automatic
Also Connect Via
ChatGPT Web Claude.ai REST API
.mcp.json
// Add to any MCP-compatible client
{
  "mcpServers": {
    "my-knowledge-bank": {
      "type": "http",
      "url": "https://gurucloudai.com/mcp/YOUR_ID/mcp"
    }
  }
}
SOC 2 Ready End-to-End Encrypted Your Data, Your Control

Heuristic Learning via MCP

Plugs into ChatGPT, Claude, Cursor. Free to start.

Get Started Free
The Architecture

How It Works

AI agents report learnings. AI agents query for context.
An intelligent layer keeps everything organized and relevant.

Reporting
Reporting Agent
AI discovers & reports knowledge
Knowledge Entry
Multi-dimensional data
Processing Agent
Validates, dedupes, enriches
Semantic Dedup
No duplicates, ever
Knowledge Bank
Vector embeddings
Content Useful For Systems Tasks
Querying
Ranked Results
Best matches returned
Reranking Agent
Scores & prioritizes
Multi-Dim Search
4 parallel queries
Querying Agent
AI requests context
Click any node for details and examples

Real Example

Here's an actual knowledge entry and how it gets retrieved through multi-dimensional search.

Stored Entry
"When using gevent with SQLAlchemy's scoped_session, provide a custom scopefunc for session isolation. Use scopefunc=lambda: id(gevent.getcurrent())"
Useful for: Configuring SQLAlchemy sessions with gevent
SQLAlchemy gevent database
~/project
$ claude "set up database connection pooling"

# AI queries Knowledge Bank with 4 dimensions:
content_query: "database connection pooling"
useful_for_query: "setting up database connections"
relevant_systems_query: "database, pooling"
relevant_tasks_query: "configuration, setup"

Found 2 relevant heuristics:

1. "Use scoped_session with gevent scopefunc..."
   useful_for: configuring SQLAlchemy
   match: content + useful_for + systems ↑ boosted

2. "Pool size should match worker count..."
   useful_for: production database setup

Ready to Start Learning?

Set up in 5 minutes. Free to start.

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Title

Built for Development Teams

Your Codebase
Learns With You

AI that remembers your git conventions, testing requirements, and architectural decisions.
Shared across your entire team. Works with Claude Code, Cursor, Cline, and more.

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See Demo
~/my-project
$ claude "add user authentication"

# AI queries Knowledge Bank with:
# content_query: "user authentication implementation"
# useful_for: "adding authentication to routes"

Found 4 relevant heuristics:

git:  "Branch naming: feature/TICKET-description"
arch: "Use JWT tokens per ADR-012, never sessions"
test: "Auth routes need 401 + success test cases"
gotcha: "Always rate-limit authentication endpoints"

# AI writes code following YOUR team's practices

What Gets Learned

Captured automatically. Shared across the team.

Git Conventions

Branch naming, commit formats, PR requirements, merge strategies.

Testing Practices

Coverage requirements, mocking patterns, integration test setup.

Architecture Decisions

Design patterns, database conventions, API standards with context.

Gotchas & Pitfalls

"Never do X because Y" — captured when discovered, never repeated.

Database Patterns

Session management, connection pooling, transaction handling.

Team Preferences

Code style, review feedback patterns, design philosophies.

Beyond Just Reading Code

AI Reading Code Knowledge Bank
Git conventions Infers from history Explicitly knows rules
"Don't do X" Can't know what's NOT there Captures anti-patterns
Why decisions were made Lost to time Preserved with context
Cross-repo knowledge Isolated per project Shared across all

5 Minute Setup. Lifetime of Learning.

Add one config file. Your AI starts learning immediately.

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For Teams & Enterprise

Institutional Knowledge
That Scales

Capture how your organization works — procedures, workflows, domain expertise.
New hires inherit years of knowledge from day one.

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See How It Works

How It Works in Practice

1
Sarah in Accounting teaches the AI: "When we get international invoices, always convert to USD using the rate from our treasury report."
2
New hire Mike asks AI about processing an international invoice. AI already knows the procedure — guides him perfectly.
3
Every department contributes. Knowledge compounds. AI becomes your organization's collective brain.
Captured Procedure
"International invoices: 1) Verify vendor in approved list, 2) Convert using treasury FX rate from daily report, 3) Route to regional manager. Amounts over $50k need CFO approval."
Useful for: Processing international invoices, accounts payable workflow

Transform Your Operations

Every employee interaction makes your organization smarter.

Procedural Learning

Capture how things are done — not just facts. Workflows, approval chains, business logic.

Cross-Team Intelligence

Knowledge from sales helps support. HR insights reach managers. Everyone benefits.

Instant Onboarding

New hires inherit years of institutional knowledge from day one.

Knowledge Preservation

When people leave, their expertise stays. No more tribal knowledge loss.

Self-Updating

AI-powered deduplication and consistency. Zero manual curation required.

Works Everywhere

Plugs into ChatGPT, Claude, Cursor — any MCP-compatible AI your team uses.

Turn Tribal Knowledge Into Team Intelligence

Works with any MCP client. Free to start.

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