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Rigour Labs
Let AI agents move fast. Rigour keeps them under control.
AI agents are getting insanely capable. The real problem now isn’t generating code — it’s controlling what agents can do, proving what they changed, and making each run smarter than the last. Rigour is the open-source control plane for AI coding agents: context, policy, deterministic verification, MCP governance, signed evidence, Fix Packets, memory, and learning. Let agents move fast. Keep engineering under control.
I built Rigour because AI made me faster — but not necessarily more confident.
As coding agents became capable of changing larger parts of a codebase, I kept running into the same problem: the smarter the agent became, the harder it was to understand everything it changed, verify every decision, and carry the lessons from one session into the next.
I didn’t want another AI wrapper or another LLM judging an LLM.
I wanted a deterministic layer around the agent — one that understands the codebase, limits blast radius, verifies observable work, produces evidence, and learns only from outcomes that were actually proven.
That became Rigour.
Today it connects context → agent actions → policy → verification → evidence → learning, and can govern high-impact MCP actions through a trusted gateway.
The idea is simple:
AI agents will keep getting more powerful. The engineering system around them needs to get stronger too.
Rigour is my attempt to build that missing layer — open source and local-first.
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About Rigour Labs on Product Hunt
“Let AI agents move fast. Rigour keeps them under control.”
Rigour Labs was submitted on Product Hunt and earned 0 upvotes and 1 comments, placing #71 on the daily leaderboard. AI agents are getting insanely capable. The real problem now isn’t generating code — it’s controlling what agents can do, proving what they changed, and making each run smarter than the last. Rigour is the open-source control plane for AI coding agents: context, policy, deterministic verification, MCP governance, signed evidence, Fix Packets, memory, and learning. Let agents move fast. Keep engineering under control.
Rigour Labs was featured in Software Engineering (43.1k followers), Developer Tools (519.8k followers), Artificial Intelligence (479.1k followers) and GitHub (41.4k followers) on Product Hunt. Together, these topics include over 244.3k products, making this a competitive space to launch in.
Who hunted Rigour Labs?
Rigour Labs was hunted by ASHUTOSH SINGH. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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ASHUTOSH SINGH