JouleBeat builds the runtime layer for long-horizon autonomous agents — token scheduling, memory, and verification that keep an agent reliable over days, not minutes.
The unsolved bottleneck is long-horizon reliability: staying coherent, on-budget and verifiable across multi-day tasks. Self-evolution, autonomous research, agents you can actually employ — all of it depends on longevity first.
Autonomous research with conclusions you can check. Submit a direction; receive evidence maps, novelty-checked ideas and experiment plans — every number traces back to one real, verified computation.
auto-research.joulebeat.comA soul plugin for any code. A pip-installable kernel that lets an agent evolve its own scaffolding — with a worked example on SWE-bench Verified.
evolution-kernel.joulebeat.comStaged compute grants for builders — 1M to 100M tokens, unlocked gate by gate, via GitHub sign-in.
token-ignition.joulebeat.comA curated map of researchers across long-horizon agent systems — scheduling, memory, runtime and benchmarks. 305 researchers and counting.
talent.joulebeat.comNo number leaves the lab without a reproducible trace.
Lifespan is the precondition for everything agents promise.
Scheduling millions of tokens under hard constraints is a first-class design problem.
Research collaboration, deployment questions, or a project that needs long-horizon reliability — write in.