Alternatives

Products that do what GoRules does

Business logic humans can read and machines can run.

1
Logic▲274
Build and operate fleets of agents
Apr 2026
2
Logic, Inc.▲296
Automate recurring decisions in plain English
Oct 2025
3
Sliderule▲134
The no-code rules engine for risk & fraud
2022
4
Superset▲542
Run an army of Claude Code, Codex, etc. on your machine
Feb 2026
5
HeyBoss AI Boss Mode▲562
Get your AI team to build your site and run your business.
2025
6
Superset 2.0▲414
Run 100s of coding agents on any machine from anywhere
May 2026 · superset.sh
7
Replicas▲239
Run Claude Code and Codex in the cloud
Jun 2026 · replicas.dev
8
Donely Knowledge Layer▲102
Queryable company knowledge base + Closed-loop AI employees
May 2026 · donely.ai
9
Computerworld▲96
A limited edition notebook by Baron Fig + Codecademy
2018
10
SuperMind▲105
Business that Runs Itself
Apr 2026
11
Compyle▲125
The coding agent that asks before it builds
Nov 2025
12
DecisionBox Enterprise▲67
Agent that writes SQL for you to validate database insights
Apr 2026
13
Finyuus▲81
A code-first language for durable, governed AI workflows
Aug 2026 · github.com
14
Reference▲81
Local semantic search for AI agents
Aug 2026 · tryreference.com
152C
20+ Claude Code agents coordinating on real work (open source)▲53
Single-agent LLMs suck at long-running complex tasks. We’ve open-sourced a multi-agent orchestrator that we’ve been using to handle long-running LLM tasks. We found that single LLM agents tend to stall, loop, or generate non-compiling code, so we built a harness for agents to coordinate over shared context while work is in progress. How it works: 1. Orchestrator agent that manages task decomposition 2. Sub-agents for parallel work 3. Subscriptions to task state and progress 4. Real-time sharing of intermediate discoveries between agents We tested this on a Putnam-level math problem, but the…
Feb 2026 · github.com
16OS
Open sourcing our ERP (Sold $500k contracts, 7k stars)▲32
We recently open-sourced Hive after using it internally to support real production workflows tied to contracts totaling over $500k. Instead of manually wiring workflows or building brittle automations, Hive is designed to let developers define a goal in natural language and generate an initial agent that can execute real tasks. Today, Hive supports goal-driven agent generation, multi-agent coordination, and production-oriented execution with observability and guardrails. We are actively building toward a system that can capture failure context, evolve agent logic, and continuously improve…
Feb 2026 · github.com
17RA
Rulebook AI – rules and memory manager for AI coding IDEs▲21
2025 · github.com
18
PlatformPilot▲30
Give your company a brain that evolves and acts.
May 2026 · platformpilot.ai
19
Stele - Agentic Ledger▲8
Every Agent, Fluent in your project
Jul 2026 · stele-ai.dev
20
Product Logic As A Service▲3
Decision engine for developers. Language agnostic, low code.
Jun 2026 · hub.docker.com
21
Sense, code intelligence for AI agents▲14
Your AI has your code's text, never its map. Fix that.
Jun 2026 · luuuc.github.io
22
Groundrules▲3
Assemble the ground rules your AI coding agents follow
Jul 2026 · groundrules.dev
23LD
Lean4 Datalog DSL Based on Google Zanzibar for AI Projects▲18
Google Zanzibar datalog lang lets you describe concepts and express how they are related. I generalize it to DSL you can use on Lean4 (and other languages) this lets you represent a knowledge base you can construct, store and evaluate, have it under git and improve without big engines or relaying on external infrastructure. Google's Zanzibar paper: https://storage.googleapis.com/gweb-research2023-media/pubto...
Jul 2026 · github.com
24
Neudash▲7
Describe your business process. AI builds and runs it.
Mar 2026

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