Connectory: organizational memory for your whole company, plus PR reviews that use it. Free to start.

Organizational memory + PR governance for teams using AI to write code

Stop AI Slop. Govern Your Codebase.

Slop = low-quality AI-generated code that looks fine but hides bugs and debt.

Catch risky AI-generated code before it merges. Make sure every change fits how your company actually works.

Connectory helps your company remember policies, decisions, and ownership across every repository, then checks every pull request against that context.

Genie is your company's living policies and decisions (read and steer from a dashboard, no terminal). SlopBuster is the GitHub reviewer that applies them on every pull request. One platform: Connectory.

2-minute setup · Free for open source · No credit card required

AI-Generated
4 issues
1async function fetchData(url) {
2 let retries = 3;
3 const query = `${userInput}`;
4 await new Promise(r =>
5 setTimeout(r, 1000));
6 try {
7 return await fetch(url);
8 } catch (e) { retries--; }
9 }
10}

Copilot / Claude / ChatGPT

Connectory

SlopBuster

Analyzing...

Production-Ready
Clean
1async function fetchData(
2 url: string
3) {
4 return exponentialBackoff(
5 () => fetch(url),
6 {
7 maxRetries: 3,
8 jitter: true,
9 }
10 );

Production Ready

Type Safe
Secure
No Reinventions
Compliant

91%

of devs use AI tools

1.7x

more issues in AI code

75%

more logic errors

42%

of code is AI-generated

Powered byConnectory
Connectory Genie

organizational memory

Your company's memory (not your laptop's)

Claude and Cursor remember what is on one laptop. Connectory remembers your whole company: policies, decisions, ownership, and open questions across every repository.

You are accountable for what your team and its agents ship. You should not have to open a terminal to find out if they were responsible. SlopBuster checks every pull request against that shared company context.

Your policies and decisions stay with you when you change AI tools or models.

Yes, Claude + skills is powerful. We are not asking you to give that up.

Claude Code, Cursor, Codex, and a well-maintained AGENTS.md are the right layer for writing code faster on the repos you have open. Connectory does not compete with that. We sit above it: keep your desk tools, add the org brain that survives turnover, model swaps, and repos nobody has cloned on a laptop today.

LayerWho it servesWhat it does
Coding agents + AGENTS.md / skillsThe developer at the deskDraft, refactor, and explore on repos you have open locally
Connectory Genie + SlopBusterLeaders and everyone accountable for what shipsRemember intent, people, and policies across all repos; govern every PR; dashboard and audit without an IDE

What Claude remembers vs. what your company remembers

Desk tools help one developer write code. Connectory is built for leaders, compliance, and org-wide rules at pull request time.

TopicWhat desk tools remember (Claude, AGENTS.md, etc.)What Connectory remembers for your company
Where the knowledge comes fromWhat an agent saved, or an index of local codeServer-side ingest of org git, PR, and contributor activity, plus human prose
What is storedFacts, code patterns, conventions (the what)People, teams, ownership, intent (policies, decisions), and open questions (the why)
Who can read and steer itDevelopers via IDE, CLI, or MCP clientAny human via dashboard and plain language; machines via PR bot and MCP. Nothing installed to read or steer
How up to date it staysManual updates or re-index; staleness is the admitted failure modeEvolves from live activity and curation; a policy change now governs the next review everywhere
How much of the org it seesPer-machine, per-account, per-repo; sees only what is checked outOne server-side graph per org; sees everything; single source of truth
What it is forMake the individual coder fasterGovern the organization: appropriateness, ownership, decisions, onboarding, risk

CEO / Founder

The fear: We ship faster than ever, and I have no idea if we are building the right things or what walks out the door when someone leaves.

The outcome: A living organizational brain: decisions, ownership, and goals captured as they happen and readable in plain language, no terminal required.

CTO / VP Engineering

The fear: Accountability for AI-code failures lands on me, but I cannot review thousands of agent PRs across dozens of repos myself.

The outcome: Every PR judged for appropriateness against live org policy, per-person and per-agent quality signals, and bus-factor alerts across the fleet.

Compliance / CISO

The fear: Regulators want evidence of why AI acted, inside our perimeter. "AI wrote it" is not a defense.

The outcome: Typed, queryable record of policies, decisions, and evidence. Read and steer from a dashboard with no coding tool installed. SOC 2 Type II; no source code stored.

$1.3T

U.S. knowledge-worker turnover cost per year

70-80%

of enterprise knowledge is tacit, never written down

46%

of AI-code failures default to CTO or VP Eng

12%

of enterprises have dedicated AI governance

81%

report rising production failures from AI-generated code

Sources: Deloitte Global Human Capital Trends (2024); Gartner (2024); CloudBees State of Code Abundance (May 2026), survey of 200+ enterprise technology leaders.

ConnectorySlopBuster

AI writes the code. Org memory governs what ships.

Powered by Connectory Genie: every review pulls live organizational memory at decision time.

Your team writes code with Copilot and Claude. Asking the same tools to review it isn't independence, it's the same perspective twice. Specialized tools are independent, but they only see one repo. SlopBuster is independent, sits across all your org's repos, and checks each PR against your company's policies, decisions, and cross-repo context from Genie.

Context changes what good code is

Stack version

A clean Python 3.9 PR could be an embarrassing misuse of Python 3.12 features your codebase already uses everywhere. Same diff, completely different verdict.

Repo purpose

Is it a web app? A research prototype? Embedded C for an autonomous vehicle? The same architectural shortcut is fine in one and a liability in another.

Company goals

A startup's “ship it and iterate” is a tech behemoth's incident waiting to happen. A research team's clever hack is a production team's maintenance nightmare.

Independence + org view

The AI that wrote the code shouldn't review the code. And your reviewer should see all your repos, not just the one with the open PR. API contract drift, cross-repo duplication, silo-blindness: SlopBuster catches what single-repo tools can't.

Every competitor reviews your diff. Only SlopBuster reviews your diff in context, across your whole org, independently.

Your coding AI writes the PR.

SlopBuster, independent, cross-repo, decides if it belongs.

1.7x

More code issues when AI is involved

GitClear 2024

75%

More logic errors in AI-generated code

Stanford/UIUC Research

42%

Of code is now AI-generated

GitHub 2024

src/utils/api.ts
+47-3
12async functionfetchWithRetry(url, options) {
13let retries = 3;
14while (retries > 0) {
15await new Promise(r => setTimeout(r, 1000));
Connectory
SlopBustersuggestion

Framework reinvention: This implements a fixed 1-second delay, but your codebase already has exponentialBackoff() in utils/retry.ts that handles jitter, max retries, and circuit breaking.

See SlopBuster in Action

Watch how SlopBuster catches framework reinvention and explains why using existing utilities is better

github.com/acme/api/pull/142
Open#142

feat: Add retry logic for API calls

opened 2 hours ago by @junior-dev

Connectory
SlopBusterby ConnectoryAI Slop Detected

Framework reinvention detected

Your PR implements custom retry logic 67 lines. This repo already has RetryableOperation in commons/utils.ts.

// Your implementation is missing:
- Circuit breaker pattern
- Exponential backoff with jitter
- Telemetry hooks

Real PR Review Example

A comprehensive review with Quality Radar scoring, findings categorization, and technical debt notes

tacticaledge/prospectory-api#226

Implemented APIFY scraper to search profiles based on dynamic keywords

By shivanikakrecha • Approved (with conditions)

14 Files
+2397
-2
1m 11s

Quality Radar

Five core dimensions of code quality

Type Safety
95
Test Quality
95
Readability
95
Security
90
Performance
90
Connectory
SlopBuster Summary

This PR introduces a comprehensive LinkedIn contact search feature integrating Apify with AI-driven match evaluation. It improves the codebase by adding strong type safety and clear separation of concerns, but introduces some technical debt related to unused API fields.

Findings (11)

Technical Debt Notes

Unused API fields 'seniority_levels' and 'section_*' create misleading API surface.

Tight coupling to SimpleLLM.run() return type is fragile and should be documented.

How SlopBuster Works

Two intelligence layers run before and during every review. Without both, it's just another diff reader.

0

RepoWatch builds your quality profile (runs once, updates continuously)

Before any PR is reviewed, RepoWatch runs a structured discovery sequence. No config required, it figures out everything itself:

main-development-branchmain-languages + versionswhat-is-the-repo-about

The result is a repo_intelligence block injected into every review, containing your stack, language version, established patterns, known weak areas, and folders to skip. This is the difference between a reviewer who has been on the team for months and a contractor who just cloned the repo.

1

PR triggers 3 bots in parallel

Code Review Bot, Slop Checker Bot (full repo grep access), and Security Review Bot run simultaneously, each with the repo_intelligence block loaded.

2

Context-specific findings

Every finding references your actual codebase, your version of Python, your patterns, your known weak areas. No generic advice that could apply to any repo.

3

Teaching chat per finding

Every finding includes a teaching chat grounded in your codebase. Ask why, ask how to fix, ask for a better pattern. The answer uses your code as the example.

See SlopBuster in Action

Real PR review from a production codebase showing Quality Radar, findings, and technical debt tracking.

tacticaledge/prospectory-api#225

fix: address critical security issues and code quality improvements

By biyer Approved (with conditions)

Score: 9
+332
-40
1m 26s
Connectory

Critical captcha logging fixed; improved CORS and auth tests; minor logging and test warnings remain. While some tech-debt remains around logging full SQL queries and payloads, and test brittleness, these are warnings rather than blockers.

Five core dimensions of code quality

Type Safety0
Test Quality0
Readability0
Security0
Performance0

Additional Metrics

Readability2
Security2
Type Safety2
Test Quality3
Performance0
Codebase Reuse1
PR strengthens security and observability while maintaining code quality.
View on GitHub
Comparison

Every competitor reviews your diff. Only SlopBuster reviews it with org memory behind it.

CodeRabbit, Greptile, and Qodo are independent from your coding AI, that's good. But they still only see one repo at a time and reconstruct context from code. Connectory Genie holds server-side institutional memory (people, policies, decisions). SlopBuster uses it on every PR so review matches how your company works, not only whether code compiles.

Your coding AI writes the PR.

SlopBuster, independent, cross-repo, decides if it belongs.

Learn how Connectory Genie powers org memory

Core PR & Repo Intelligence, code graphs vs. structured repo intelligence

Feature
ConnectorySlopBuster
(Connectory)
GitHub CopilotCodeRabbitSonarQubeAikidoGreptileQodoPanto AISourcery
Code / dependency graph (cross-file context)
Structured repo intelligence, purpose, stack version, quality profile (RepoWatch)
Contextual explanations
AI slop detection (reinvention, band-aids)
Progressive feedback (1-3 issues)
Interactive Q&A per finding
Zero configuration
GitHub / GitLab integration

Context-Aware Governance, org memory (Genie), independence, and cross-repo view

Feature
ConnectorySlopBuster
(Connectory)
GitHub CopilotCodeRabbitSonarQubeAikidoGreptileQodoPanto AISourcery
Repo-type context (app / library / embedded / research)
Org-type context (startup / enterprise / academia)
Language version awareness (e.g. Python 3.9 vs 3.12 idioms)
Stops framework reinvention
Repo-specific pattern enforcement
Explains "why" using your code
Quality Radar scoring (multi-dimension)
Explicit Technical Debt Notes
Merge gate / blocking status check
Cross-repo holistic view (frontend + backend + API contracts)
Independent from your coding AI tools (not Copilot / Cursor / ChatGPT)
Organizational memory graph (policies, decisions, ownership, questions)
Leader-readable dashboard (no IDE / Claude install)
Autonomous ingest across all org repos (OrgWatch)
Reviews fit company policies and architecture, not only syntax
Server-side memory survives engineer turnover
Full support
Partial / Limited
Not supported
Pricing

Simple, transparent pricing

Unlimited users on every plan. No per-seat fees, no vendor lock-in. Flat pricing that scales with your codebase, not your headcount.

Unlimited users includedNo per-seat pricingCancel anytime

Launchpad

$0

Start shipping cleaner code today

  • Unlimited users
  • 10 PRs/month
  • Public repos only
  • Basic quality checks
  • Community support
Get started free

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Orbit

$99/mo

Automate code reviews & drive higher quality code

  • Unlimited users
  • 200 PRs/month included
  • 5 private repositories
  • Codebase-aware reviews
  • AI slop detection
Start free trial
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Interstellar

$499/mo

Enterprise governance with security, compliance & risk management

  • Unlimited users
  • 1,500 PRs/month included
  • 50 private repositories
  • Custom quality rules
  • Merge gate enforcement
  • Priority compute
  • SSO / SAML / SCIM
  • Self-hosted option
Start free trial

Need an enterprise plan with unlimited PRs, unlimited repos, and custom integrations? Contact sales.

Add-on packages

Security Pack+$99/mo

Secret detection, vulnerability scanning, insecure pattern detection

Advanced Analytics+$79/mo

PR cycle benchmarking, merge confidence, throughput trends

Policy Engine+$129/mo

Custom rules, org-wide standards, merge gates

Velocity Support+$399/mo

Dedicated Slack, faster compute, quarterly reports

Join Our Community

Connect with developers who care about code quality. Get help, share feedback, and help shape the future of Connectory.

Keep Claude. Add the org brain.
Govern what ships.

Connectory Genie remembers your policies and decisions. SlopBuster enforces them on every PR. Start free in minutes.

How Genie + SlopBuster work together

Free for open source. No credit card required.