Slow Vale developer Low_Bad_6585 claims its continuously running Chinese life simulation now sustains more than 800 persistent LLM residents, offering concrete concurrency, context-caching, and hosted-inference cost lessons for long-running multi-agent systems.
state: seedheat: lowuncertainty: highnovelscott: highagent-orchestration agent-memory inference-economicsLow_Bad_6585Slow Vale
What is this?
The web snippets do not directly confirm the specific claim about a Slow Vale developer (Low_Bad_6585) running a Chinese life simulation with 800+ persistent LLM agents. They surface related work: AgentSociety (Tsinghua) large-scale LLM agent simulation, LangChain's GPTeam multi-agent framework, Subconscious's agent context caching runtime, and vLLM prefix-caching economics — but none name Slow Vale, Low_Bad_6585, or an 800-agent deployment. The evidence title itself ('Running an LLM-driven town with 800+ persistent agents...') is the primary anchor; treat the claim as a first-person engineering account awaiting verification.
Why it matters to Scott
A first-person engineering account of an 800+ persistent-agent deployment with concrete concurrency, context-caching, and hosted-inference cost data — directly bearing on Scott's persistent agent runtimes (Prime Agent, OpenClaw, All-in-One), multi-agent simulation production work (Synthetic Futures, Venture World), and local-inference sovereignty economics (Ollama, LiteLLM, cost-tiered routing). Real operational data at this scale is rare and would inform what he builds and argues.
dev:technology.prime-agentdev:project.openclawdev:project.all-in-one-softwaredev:project.synthetic-futuresdev:project.venture-worldip:framework.agent-native-computingip:framework.12-factor-agents-frameworkdev:technology.ollamadev:technology.litellmdev:concept.cost-tiered-llm-routingdev:concept.agent-authored-context-compactiondev:concept.pointer-backed-transcript-compressionradar:1f916-persistent-agent-worldradar:agent-substrate-sandbox-runtimeradar:aws-agentcore-persistent-runtime-adoptionradar:automaton-durable-agent-stateradar:adaptive-kv-cache-streamingradar:beellama-kvarn-kv-cache-validationradar:dkv-kv-cache-compression-validationradar:fraise-temporal-agent-memoryradar:agent-run-cost-unpredictability
queries asked of Scott's wikis
- agent-orchestration long-running multi-agent concurrency patterns
- agent-memory context-caching inference-economics KV-cache reuse
- inference-economics hosted-inference cost models cache-hit rates
- dev-projects agent-harness persistent-agent runtime
- ip-frameworks agent-sovereignty local-inference economics
- work-history multi-agent simulation production deployments
Measured heat
now 0 pts/hpeak 10 pts/hcomments 0/hpeers p0momentum: steady1 platformsage 78h
points/hour across evidence · reading as of 2026-10-12 02:59:37.977291+11:00 · deterministic, not a model opinion
How the heat travelled
pace: p68 vs 1243 stories at the 72h mark (now 78h old) — ahead of mentria-bonsai27b-webgpu-inference (1.0x), behind gewell-gemma4-blackwell-engine (1.0x)
Evidence (1) — ⭐ canonical anchor
Interpretation history
2026-10-11T12:29:21Z
Engagement on the Reddit post grew (56→71 score, 32→40 comments) and a velocity spike was detected earlier, but measured heat now shows 0 current points/hour, 0 peer percentile, and cooling momentum. The case remains a single unverified first-person account with no independent corroboration, second platform, or technical replication.
2026-10-08T10:59:30Z
grounded: novel/high — A first-person engineering account of an 800+ persistent-agent deployment with concrete concurrency, context-caching, and hosted-inference cost data — directly
2026-10-08T10:43:23Z
case created — The developer provides a first-person engineering account of a bounded persistent-agent deployment with operational details.
Decision trace
- 10-11 23:29repriceEngagement on the Reddit post grew (56→71 score, 32→40 comments) and a velocity spike was detected earlier, but measured heat now shows 0 current points/hour, 0 peer percentile, and cooling momentum.
- 10-09 15:39sensor_dirtycomment_update
- 10-09 02:41sensor_dirtyvelocity_spike
- 10-08 23:33sensor_dirtycomment_update
- 10-08 23:27attention_communicatedDeveloper Low_Bad_6585 details engineering of a continuously running multi-agent simulation: each of 800+ residents makes 300–400 LLM calls/day (30k token context), using hosted DeepSeek Flash. Key so
- 10-08 23:27attention_routeRare first-person engineering account at 800+ agent scale with concrete concurrency, caching, and cost data — directly informs Scott's persistent agent runtimes, multi-agent simulation work, and
- 10-08 22:53attention_routeRare first-person engineering account at 800+ agent scale with concrete concurrency, caching, and cost data — directly informs Scott's persistent agent runtimes, multi-agent simulation work, and
- 10-08 22:46attention_candidatecreate
- 10-08 21:59groundA first-person engineering account of an 800+ persistent-agent deployment with concrete concurrency, context-caching, and hosted-inference cost data — directly bearing on Scott's persistent agent
- 10-08 21:43createThe developer provides a first-person engineering account of a bounded persistent-agent deployment with operational details.