Cohesor is the neutral control plane for AI agents. It sits between your agents - Claude Code, Codex, Cursor, agentic workflow and every LLM model: compressing ~50% of tokens, routing each request to the right-sized model, and governing spend per user for your team. One endpoint, zero code changes, 60–90% lower agent bills. Agent spend is exploding with almost no tooling to understand or control it. The neutral, cost-first control layer is the empty quadrant. Cohesor is built for exactly that.
The inspiration behind Cohesor came from seeing a gap between the promise of AI and how enterprises actually deploy it.
As enterprises adopt more AI, they are increasingly dependent on multiple models, providers, and AI applications. But the infrastructure sitting between the business and those models is still largely static—teams manually choose models based on cost, latency, or benchmarks that quickly become outdated. There is no intelligent layer continuously deciding which model, configuration, and routing strategy is best for a specific business task.
The neutral control plane part is what caught me. I just found two of my own Claude Code sessions running on the same project at the same time, one of them mid task, with zero visibility between them. Does the routing layer see enough to flag that kind of overlap, same team, same resource, concurrent calls, or is it strictly a cost and model routing signal with no visibility into what the calls are actually doing?
About Cohesor on Product Hunt
“A neutral control plane for enterprise AI agents”
Cohesor launched on Product Hunt on August 12th, 2026 and earned 78 upvotes and 2 comments, placing #17 on the daily leaderboard. Cohesor is the neutral control plane for AI agents. It sits between your agents - Claude Code, Codex, Cursor, agentic workflow and every LLM model: compressing ~50% of tokens, routing each request to the right-sized model, and governing spend per user for your team. One endpoint, zero code changes, 60–90% lower agent bills. Agent spend is exploding with almost no tooling to understand or control it. The neutral, cost-first control layer is the empty quadrant. Cohesor is built for exactly that.
Cohesor was featured in SaaS (43.6k followers), Developer Tools (517.4k followers) and Artificial Intelligence (475.9k followers) on Product Hunt. Together, these topics include over 244.9k products, making this a competitive space to launch in.
Who hunted Cohesor?
Cohesor was hunted by Funmi Lesi. 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.
Want to see how Cohesor stacked up against nearby launches in real time? Check out the live launch dashboard for upvote speed charts, proximity comparisons, and more analytics.
Funmi Lesi