A computer is the agent's body
Files, terminal, browser, desktop apps, local models, remote machines, and services form one real action space.
MULTI-AGENT · SELF-EXTENDING · LOCAL-FIRST
Not another
coding agent.
An Agent OS.
A team of agents working across your browser, desktop, and server fleet — coding, writing, and reasoning at frontier level, and writing its own skills and plugins as it works.
Multi-agent teamsLEAD · SWARM · COMPOSITE
Whole-machine action spaceBROWSER · DESKTOP · SHELL · SERVER FLEET
Self-extendingWRITES ITS OWN SKILLS + PLUGINS
Co-evolution, governedEVIDENCE · COMPARE · PROMOTE · ROLLBACK
01 / CATEGORYWHY EVOFORGE EXISTS
Most agents execute.
EvoForge accumulates.
A task should not disappear when the answer is delivered. Its trajectory can become evidence, reusable capability, and a better starting point for every task that follows.
A runtime is more than a chat
Interactive work, long-running goals, schedules, and specialist agents belong to one continuous, governed experience.
Experience becomes capability
Evidence, comparison, and governed selection turn useful experience into durable intelligence without retraining the model.
02 / CATEGORY SHIFTEXECUTION VS COMPOUNDING
An agent finishes a task. An Agent OS changes the next one.
The difference is not a longer feature list. It is whether work leaves behind owned intelligence that improves future work.
FIG.01 / CAPABILITY vs. TASK INDEX · TWO ARCHITECTURESPLOT · LOG-LINEAR
NOTE 1 — BASELINE RESETS ON EVERY TASK UNLESS STATE IS OWNED.NOTE 2 — PROMOTION REQUIRES SURVIVING COMPARISON; ROLLBACK IS A FIRST-CLASS MOVE.
03 / COMPOUNDING INTELLIGENCESCROLL TO TRACE THE LOOP
Give it a goal.
EvoForge plans, acts across your computer and servers, verifies outcomes, and preserves the state required to continue.
Every action becomes evidence.
Goals, decisions, actions, observations, outcomes, and proposed improvements stay connected in a traceable work history.
Improvement has to survive comparison.
Candidate improvements are tested against comparable work before they can influence future behavior.
The next task starts stronger.
Proven assets are promoted; regressions are rejected or rolled back. Intelligence compounds under explicit governance.
FIG.02 / COMPOUNDING MECHANISM4-STATION · INDEXED
04 / ONE SYSTEMNOT A GROWING TOOL LIST
The whole computer becomes an action space.
The desktop app is the control surface, not the limit. Local and remote environments become one coherent field of work.
Perception + action
Files, terminal, Git, browser, desktop accessibility, code intelligence, web, media, and connected services.
Goals + coordination
Long-running goals, scheduled work, specialist delegation, parallel exploration, and bounded teamwork.
Durable cognition
Project continuity, memory, reusable practices, learned preferences, and curated recall across time.
Safety + recovery
Risk-aware approvals, bounded actions, interruption, recovery, attribution, and reversible change.
GLM
Give intelligence
a place to compound.
Download EvoForge for individual work, or explore the product principles that turn a desktop agent into an Agent OS.