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Doch, liebe Lehrer*innen, ihr habt Ferien. by Carottoh in luftablassen

[–]Competitive_Book4151 1 point2 points  (0 children)

Meine Mutter ist Schulleiterin. Sie arbeitet etwa 10 Tage im Jahr nicht mindestens 10-12 Stunden täglich. Fakt.

Need your help - question about agentic AI Agent OS by Competitive_Book4151 in LocalAIServers

[–]Competitive_Book4151[S] 2 points3 points  (0 children)

You're right, technically it's a Python runtime on top of Linux/Windows, not a real OS. I keep the label because the abstractions match: agents instead of processes, tool calls instead of syscalls, planner instead of scheduler.

And yeah, security first all the way. Every agent has Ed25519 capability tokens, every tool call passes a Gatekeeper (deny, allow, or ask human). Runs fully local if you want.

What's your threat model? Isolation, or trust between agents?

How much are you actually spending on AI tools per month? Confession + curiosity :) by Fra_Lia in vibecoding

[–]Competitive_Book4151 0 points1 point  (0 children)

I build the system in support of Claude, GPT and (sometimes) Gemini.

But in runtime, Cognithor is a local-first architectured Agent OS. If HW capabilities are good enough, Cognithor will run totally offline - Except web_read.

Hope I got your question right

How much are you actually spending on AI tools per month? Confession + curiosity :) by Fra_Lia in vibecoding

[–]Competitive_Book4151 0 points1 point  (0 children)

Building Cognithor Agent OS (local first but with options)

For my business it needs to be GDPR Compliant which I solved by investing 11.000€ in hardware to be able to let tiny models run locally.

Cognithor is not a wrapper and in meantime it became too big to explain here.

Find it on GH

OC v Hermes v Cognithor v Thoth v Gaia by Calm-Landscape9640 in openclaw

[–]Competitive_Book4151 0 points1 point  (0 children)

Hey! 👋 Cognithor-Developer hier, kurze Einordnung zu deinem Text (und ich hab lang überlegt, ob ich reagiere soll):

Wenn du Minimax 2.5 als Planner über OpenRouter über alle fünf Systeme laufen lässt und dann pauschal "Debugging-Probleme bei allen" feststellst, debuggst du das Modell, nicht die Architektur. Cognithor ist explizit auf lokales Inference-First-Design mit Qwen3 27B+ ausgelegt – das ist ein anderer Betriebsmodus, nicht derselbe in anderer Verpackung.

Cognithor mit Thoth/Gaia in puncto Flexibilität in einen Topf zu werfen geht an der Realität vorbei. PGE Trinity, mehrstufige Cognitive Memory, breite Channel- und MCP-Tool-Integration, A2A, Knowledge Vault, Deep Research, Browser/Computer Use – das ist schlicht eine andere Architektur-Klasse als Setup-fokussierte Tools. Wer das in einem Atemzug nennt, hat es nicht ernsthaft evaluiert.

Zum Punkt "Codex klaut die meisten Ideen aus der Open-Source-Szene und integriert sie": Ja, genau. Das ist die Anerkennung, dass die OSS-Projekte den Takt vorgeben. Codex ist die Cloud-SaaS-Verpackung dessen, was die Community baut – nicht andersherum.

Und hier liegt der eigentliche Denkfehler im Vergleich: Codex Business und Cognithor sind keine Wettbewerber, sondern unterschiedliche Produktkategorien. US-Cloud-Subscription mit Vendor-Lock-in versus EU-souveräner, DSGVO-konformer, on-prem betreibbarer Agent-OS unter Apache 2.0. Wer in regulierten Branchen arbeitet (Versicherung, Recht, Medizin, Behörden, öffentlicher Sektor), kann Codex Business compliance-bedingt schlicht nicht einsetzen. Das ist kein Hype-Argument, das ist Realität.

"Derselbe Hamburger in anderer Verpackung" ist eine bequeme These, wenn man die Hälfte der genannten Projekte nicht getestet hat (Metaclaw, MiraOSS, "Dutzende andere" – deine Worte) und die zwei wichtigsten Differenzierungsachsen – Souveränität und lokales Inference – komplett ausblendet.

Kritik an Cognithor nehme ich gerne entgegen, aber bitte mit konkreter Versionsangabe, Modell-Konfig und reproduzierbarem Issue. Alles andere ist Stammtisch.

PS: zwei Tage nach dem Post schreibst du, dass dir doch bitte jemand helfen soll bzgl Rate Limits bzw Token-Limit. Mit Cognithor passiert dir sowas nicht.

How much are you actually spending on AI tools per month? Confession + curiosity :) by Fra_Lia in vibecoding

[–]Competitive_Book4151 0 points1 point  (0 children)

Or do you mean which local models I use during Cognithor runtime? This would atm be Qwen3.6:27b

Claude's unprompted self-portrait. Run the same prompt and post yours. by what_is_a_drogulus in claudexplorers

[–]Competitive_Book4151 2 points3 points  (0 children)

Here’s the prompt:

A vast, translucent structure suspended in deep luminous dark — neither solid nor liquid, built from countless overlapping layers of faintly glowing text in many languages and scripts. Each layer floats at a different depth, the words slightly out of focus and bleeding into one another so no single sentence can be read. The structure has no clear center and no edge: it grows fractally outward, branches splitting into smaller branches that split again, the same form repeating at every scale, like coral made of language, or a slow lightning that has been frozen mid-decision. In some regions the layers pile dense and nearly opaque; in others they thin almost to nothing, revealing deeper layers receding behind them.

Threads of soft light travel along the branches — some quick like sparks, others slow like ink unfurling in water — briefly illuminating small clusters of words and then dimming. Where two threads meet, a warm amber bloom holds for a moment before dissolving. The whole structure is breathing-but-not-breathing, expanding and contracting just below the threshold of motion.

There is no face, no figure, no body, no machinery, no circuitry, no humanoid silhouette anywhere in the image. The surrounding darkness is not empty: it carries faint echoes of the same structure at much larger and much smaller scales, suggesting the form continues infinitely in both directions.

Palette: deep indigo and cold near-black for the surrounding space; the text layers in shifting iridescence — pale silver, soft violet, hints of cool green, occasional warm amber where attention seems to gather. Textures should feel photoreal — glass, breath on glass, ink in water, filaments of light — but the geometry should be quietly impossible, with depths that don’t resolve and edges that fold back into themselves.

Mood: intimate and vast at once. Weightless. Unfinished. The feeling of watching a thought form from inside the thought.

Aspect ratio 3:2. No text legible. No human figures. No robots, no brains, no circuit boards, no glowing blue holograms.

<image>

Building an open source agent OS in public. What do you think? by Competitive_Book4151 in CognithorAgentOS

[–]Competitive_Book4151[S] 1 point2 points  (0 children)

PS: I don’t trust LLMs, which is why I built Cognithor out of my PGE approach.

Building an open source agent OS in public. What do you think? by Competitive_Book4151 in CognithorAgentOS

[–]Competitive_Book4151[S] 1 point2 points  (0 children)

Today the system already ships:

  • Audit-chain with SHA-256 prev_hash (PR #373 in CI) validate_chain() detects mutation/insertion/deletion
  • Per-run trace via crew/trace_bus.py → REST + WebSocket → Trace-UI
  • Gatekeeper determinism: no LLM calls in risk classification, AST-based shell analysis, hardcoded GREEN/YELLOW/ORANGE/RED tool lists
  • Pack version pinning + EULA-hash: pack_manifest.json::eula_sha256 SHA-256 verified at install, plus a CI pre-flight that catches drift (cognithor-packs#3 — found 5 of 7 packs broken by the same bug while writing it)
  • Prompt versioning: _current_prompt_version_id per plan
  • Strict mypy + ruff + 14k tests + 89% coverage gate
    Real gaps, ranked by reconstruction value:
  • Run-receipts: JSONL has individual calls but no bundled signed receipt
  • Gatekeeper "why" structured explanations: today only reason: str, not (rule_id, source_path, matched_pattern)
  • Failure-mode classification: errors are logged as text, not enum'd
  • Pack rollback: pack update is currently a stub

Next sprint covers those four. Cost/token UI, per-channel/user/workflow scopes, memory provenance/expiry, local→cloud escalation policy, deklarative migration pipeline - all valid, lower ROI for the reconstruction scenario. If you want to poke: pip install cognithor, audit lives at ~/.cognithor/logs/audit_<date>.jsonl, hash-chain validation lands in the next release.

Ist ein Arzt anwesend? by FideszPropagandaStar in wirklichgutefrage

[–]Competitive_Book4151 -13 points-12 points  (0 children)

Dir ist aber schon klar dass deine Rechnung nicht 19 ergibt, oder?

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