01
Measured, not guessed
Concurrency that fits your machine.
Adaptea calibrates the models you actually run, observes live LM Studio pressure, and changes worker admission with explainable guardrails.
Explore in the docs → LOCAL MODELS, ORCHESTRATED
More coding agents.Only when it helps.
Adaptea plans real software work, runs local coding agents in parallel, and adapts concurrency and model routing to your machine.
$
curl -LsSf https://adaptea.dev/install.sh | shTerminal install (macOS / Linux)
macOSWindows (Soon)Free public betaRuns locallyOpen source
ADAPTIVE RUN
Ship secure patient portal
Adaptea target4workers
Running now3of 4 ready
Queue pressureLow0 waiting
↗
Target raised 3 → 4Capacity remained healthy for 90 seconds.
Plan progress3 / 7 complete
BRING THE MODELS YOU ALREADY RUN
LMLM Studio
◎Ollama
🦙llama.cpp
⚡vLLM
⌘OpenCode
⑂Git
THE MISSING ORCHESTRATION LAYER
A model runner serves tokens.
Adaptea organizes the work.
Local inference backends are excellent at loading and serving models. Adaptea sits above them: turning a goal into a validated plan, admitting workers only when capacity allows, and delivering one clean result back to your project.
01PlanDependency-aware tasks
→02RouteMatch model to work
→03RunIsolated worktrees
→04ValidateYour real test command
→05ApplyOne clean commit
02
Adaptive model fleet
Give each task the right local model.
Route planning and complex work to your strong tier, move bounded tasks through a fast pool, and escalate a failed fast attempt once—without inventing what a model can do.
Explore in the docs →03
Safe by construction
Parallel work without a messy repository.
Each task works in an isolated Git worktree. Adaptea runs your real validator, merges passing branches serially, and keeps durable state for resume.
Explore in the docs →HONEST ABOUT THE SIGNAL
Adaptive means observed.Not imagined.
LMLM StudioFull adaptive mode
Live queue and request pressure let Adaptea raise or lower worker admission as conditions change.
◎Ollama / llama.cpp / vLLMNative backends
Tailored slot tracking for llama.cpp, /metrics scraper for vLLM, and safe concurrency bounds for Ollama.
COMPARE ON YOUR OWN CODE
Proof belongs to
your machine.
Adaptea can prepare Serial and Adaptive runs from the same clean commit, then save the timing, pass rate, retries, and resource pressure. No universal speedup promise—just a reproducible comparison.
ILLUSTRATIVE DEMO RUN3 runs each
Serial42m 11s
Fixed28m 32s
Naive24m 54s
Adaptive21m 48s
Illustrative data from the built-in deterministic demo. Your results will depend on hardware, models, context, and workload.
HOW ADAPTEA KEEPS THE COMPARISON FAIR
01
Same starting commitNeither run builds on changes produced by the other.
02
Same reviewed planDifferences in planner output stay out of the benchmark.
03
Duration and pass rate togetherSpeed never hides whether the result actually passed validation.
BUILD LOCALLY. SCALE THOUGHTFULLY.
Put your machine to work.
Download the public beta and turn local models into a measured coding team.