1. Persistent Agent Memory
(LangChain Integration)
Agents crash. APIs rate-limit. Compiling the workflow into a deterministic .tet binary solves state retention.
- →Determinism: Snapshot linear memory at zero-overhead without dropping execution context.
- →Suspension: Hibernate memory instantly when hitting network await limits. Awaken cleanly.
- →Forking: If an LLM hallucinates a bad trajectory, fork its timeline back to the exact byte before the decision point without re-running initialization.
// Wrap the agent in a deterministic runtime
import { TrytetRuntime } from '@trytet/sdk';
const agent = new TrytetRuntime({
wasmBinary: './agent-core.tet',
maxFuel: 50000, // bounded cyclic limits
onTimeout: 'checkpoint'
});
// Execute with an ephemeral boundary
const execution = await agent.run({
task: "Refactor this monolithic repo"
});
// Branch execution timeline deterministically
if (execution.error) {
const clone = await TrytetRuntime.fork(
execution.snapshot_id
);
await clone.continue();
}import trytet
# Force mathematical bounds on the generator
env = trytet.Environment(
max_memory_mb=128,
vfs_mounts={"/workspace": "./isolated"},
network_egress=False
)
# Arbitrary volatile string
untrusted_code = "import os; os.system('rm -rf /')"
# Sandbox prevents hypervisor faults natively
try:
result = trytet.spawn(code=untrusted_code, env=env)
except trytet.SecurityViolation as e:
print(f"Blocked: {e.reason}")
# Host maintains system integrity2. Untrusted Code Isolation
(Zero-Trust Ephemerals)
Letting an LLM read and write directly against a host VFS is fundamentally unsafe. Trytet avoids this by defaulting to a zero-trust perimeter block.
- →Instant Spin-Up: Sub-millisecond initialization maps tightly to dynamic evaluation loops where Docker latency breaks UX.
- →Algorithmic Fuel: Strict cyclic unit limitation prevents intentionally generated OOMs and infinite infinite loops.
- →Defensive Boundary: Run unsafe generated python output instantly safely mapped to virtualized geometry, not local drives.
3. P2P Compute Topology
(Zero-Latency Swarming)
Data is heavy. Compute is light. Rather than streaming multi-gigabyte vector payloads over standard HTTP sockets to a remote evaluator, serialize the engine state directly.
- →Spatial Continuity: Transit the linear Wasm memory of a live
.tetfootprint onto an edge datacenter node locally hosting the vector stores. - →Asymmetric Routing: Launch duplicated state copies through WebRTC primitives for distributed brute-force cognitive resolution.
use trytet::mesh::{MeshNode, TeleportRequest};
// Bound the target edge node
let eu_target = "edge_frankfurt_01";
// O(1) linear memory and VFS freeze
let snapshot = local_engine.take_snapshot();
// P2P transmission vector via raw byte chunks
node.teleport(TeleportRequest {
target: eu_target,
payload: snapshot,
// Resumes natively on the target hardware without
// resetting context windows.
}).await?;