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Ambience: Institutional Context Layer
Institutional context layer for agents
Ambience captures every AI agent session your team runs (Claude Code, Cursor, custom agents), redacts it, scopes it across personal / team/project/org, and makes it available for any other agent in the organisation. The next session starts smarter. We have built a conflict graph that extracts reason for decisions being made and flags conflicting information to keep the whole team aligned.
We’ve seen the institutional memory problem firsthand while selling and deploying agents into some of the world’s most forward-thinking companies - including Mistral, Intercom, Gong, and n8n. Our team is one of the most AI-native teams in the world processing, over a trillion tokens per month, and still no shared memory between agents.
Every agent session started from zero. Decisions, customer context, workflow preferences, failures, and hard-won lessons were trapped in people’s heads, scattered in .md files or lost inside past sessions. Learning and company context doesn’t compound.
That is painful in a 50-person company with one year of context and decisions made by agents. It becomes existential in a 5,000-person company deploying thousands - eventually millions - of agents.
Our belief is simple: over the next 6 to 18 months, agents will move into every business function - and non-technical teams will discover that their institutional memory was never built for machines.
About Ambience: Institutional Context Layer on Product Hunt
“Institutional context layer for agents”
Ambience: Institutional Context Layer was submitted on Product Hunt and earned 0 upvotes and 2 comments, placing #93 on the daily leaderboard. Ambience captures every AI agent session your team runs (Claude Code, Cursor, custom agents), redacts it, scopes it across personal / team/project/org, and makes it available for any other agent in the organisation. The next session starts smarter. We have built a conflict graph that extracts reason for decisions being made and flags conflicting information to keep the whole team aligned.
On the analytics side, Ambience: Institutional Context Layer competes within Productivity, SaaS and Artificial Intelligence — topics that collectively have 1.2M followers on Product Hunt. The dashboard above tracks how Ambience: Institutional Context Layer performed against the three products that launched closest to it on the same day.
Who hunted Ambience: Institutional Context Layer?
Ambience: Institutional Context Layer was hunted by Ollie Grimes. 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.
For a complete overview of Ambience: Institutional Context Layer including community comment highlights and product details, visit the product overview.
Ollie Grimes