Yloh Nitram
410 posts

Yloh Nitram
@ylohnitram
Building Agentis – Rust Cognitive OS for AI Agents | Hashed DAG + LLM as stdlib | Mil-tech curious | Replikanti founder 🦀
Entrou em Haziran 2024
29 Seguindo25 Seguidores

@michalnavratil9 Klidne. Picovin je tu uz docela dost, tak se to snadno ztrati.
Čeština

Agentis from Replikanti builds autonomous agent colonies that run on their own after initial setup.
You set goals and selection pressure once.
After evolution the colonies become deterministic and need almost zero ongoing LLM usage.
This means very low running costs, no endless API bills, and no daily supervision.
The colonies adapt, federate and improve independently.
A self-sustaining AI workforce at scale.
github.com/Replikanti/age…
Who is already running long-lived agent colonies in production?
#AutonomousAgents #AgenticAI
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Mention one thing the EU is better at than the US and China.
Frid 🇪🇺🦌@Frid45
United we stand, divided we fall. For a united and strong Europe. 🇪🇺
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Most autonomous agents don’t fail because they’re dumb. They fail because they start believing stale or unearned knowledge and nobody can prove when the drift began.
Today I shipped semantic knowledge verification into Agentis:
- Validate claims against actual experience records before they harden into policy
- Decay confidence over time when knowledge goes unvalidated, so stale beliefs lose power
- Run A/B tests on competing knowledge and automatically promote or demote based on outcomes
- Detect contradictions inside the knowledge base before agents stack bad assumptions on bad assumptions
This matters when agents run unsupervised on flaky nodes with tight cognitive budgets. If a node mutates its worldview, I want that evolution to be testable, degradable, and tied to evidence instead of vibes.
What’s your mechanism for stopping an autonomous agent from turning one lucky observation into doctrine?
github.com/Replikanti/age… #buildinpublic #agentis #aiagents #rust #autonomoussystems #edgeai

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If you cannot cryptographically prove a peer misbehaved, your quarantine is theater.
In contested, low-trust networks, vibes collapse swarms. 🛡️
- Added on-wire MisbehaviorProof with Ed25519 verification and dedicated ACK so evidence is broadcast, validated, and recorded
- Wired a Byzantine detector end-to-end; report_misbehavior now applies trust penalties, isolates peers, and rate-limits suspected sybils automatically
- Made threat level adaptive, fed by live quarantine and anomaly counts so colonies tighten policies and degrade gracefully when nodes go dark
Why it matters: unsupervised agents at the edge need zero-trust provenance and immediate, verifiable isolation to preserve identity and prevent swarm collapse without blowing compute budgets.
What is your on-wire evidence path and automated penalty policy when a peer starts lying?
github.com/Replikanti/age… #buildinpublic #agentis #aiagents #rust #autonomoussystems #edgeai

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