Adaptive Context Engine
The cognitive layer for AI agent teams. One agent learns. Every agent benefits.
The more agents you run, the more you become the coordinator. Every session starts from zero. Every agent works alone. Every lesson dies when the window closes.
Right now it feels like onboarding a new hire every session — and watching them forget everything by morning.
What ACE does
Route
ACE doesn't just dispatch tasks — it learns which agents succeed at what, routes based on outcomes, and knows when a problem needs one expert vs. a coordinated team.
Propagate
A discovery doesn't stay in one session. It's verified, scored, and propagated through a confidence-gated pipeline to every agent that needs it — across roles, across domains.
Verify
Not everything gets in. Observations pass through confidence gates, deduplication, and contradiction detection. The system maintains epistemic integrity — it knows what it knows, and what it doesn't.
Evolve
Between sessions, an autonomous loop consolidates knowledge, detects gaps, triggers targeted research, and reinforces what held up. You open a session and the system has already done homework.
Compound
The intelligence lives in the structure — routing logic, feedback loops, verified knowledge, cross-agent propagation. After 100 sessions, the system has institutional context that would take a team months to build. The intelligence compounds. The cost per insight drops. That's not a feature — it's architecture.
LLMs read knowledge and write observations. But what makes the system intelligent — what makes it route correctly, fill its own gaps, abstract patterns across domains — lives in the architecture. Swap the model and the system still performs, because the value compounds in the structure.
ACE is not a memory API — those store facts; ACE builds a living knowledge structure that maintains itself. Not an agent framework — those wire agents at build time; ACE learns team dynamics from outcomes. Not built-in chat memory — that remembers your conversations; ACE learns what your experts learned.
The Intelligence Dividend
Every lesson learned once. Applied everywhere. Forever. The system gets smarter AND cheaper — not a trade-off, a dividend.
Stripe webhook — retry needs idempotency key on 2xx First encounter learned Redis pool — exhaustion above 50 concurrent connections First encounter learned Stripe webhook — billing agent caught same pattern Reused from #14 −22 min Migration — add nullable → backfill → then constrain First encounter learned K8s rollback — --revision flag order matters Reused from #38 −18 min Migration — same pattern, new table, infra agent Reused from #52 −25 min Redis pool — perf agent hit same ceiling Reused from #23 −31 min Stripe webhook — 3rd agent, same fix, zero debugging Reused from #14 −22 min And this is just the first 103 sessions. The curve accelerates — more knowledge means more reuse opportunities per session.
ACE is in private beta. We're working with a small group of teams running serious agent workflows.