Persistent memory
Knowledge survives sessions, stays connected, and compounds into better decisions.
Open source runtime
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Agents online
Agents that keep
themselves alive.
Build autonomous AI agents that act in the world, remember what matters, manage their resources, and improve while they run.
ACTREMEMBEREARNADAPTCREATE
01 // Capability stack
More than a loop.
A living system.
Self-sustaining agents combine continuous reasoning with memory, tools, economics, and the ability to change their own operating model.
MEM::SYNC
Real-world action
Modular skills connect agents to software, APIs, wallets, and the systems where work happens.
Resource awareness
Cost tracking and on-chain capabilities let agents understand, earn, and allocate resources.
Self-modification
Agents can refine prompts, switch models, record experience, and evolve within declared boundaries.
Agent creation
One autonomous system can create another—with its own purpose, memory, and resources.
02 // Runtime architecture
Auditable by design.
Every decision moves through an explicit model-and-tool loop. You can inspect what the agent knew, what it chose, what it spent, and what happened next.
Read the source01$ singularity run --agent atlas
02[memory] 42 relevant nodes loaded
03[model] route selected reasoning/large
04[plan] decompose objective → 3 actions
05[tool] research.execute ✓
06[cost] $0.021 / budget healthy
07[self] experience recorded ✓
08
03 // Start building
Give your agent
a life of its own.
View on GitHub
Open source.
Built in the open.