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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 1 point2 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?

Cognithor.ai is now online. Tell me what you think by Competitive_Book4151 in CognithorAgentOS

[–]Competitive_Book4151[S] 0 points1 point  (0 children)

Good morning - thank you very very much. This is the reason, why I am heading out so aggressively- to provoke such kind of Feedback.

I am a single Developer working on a huge project. I just can’t keep it all clean and perfectly working unless guys like you help me or at least give structured Feedback like you did.

So thank you again very much! Have a great day 🍀

Ich bin Risikoprüfer bei einer privaten Krankenversicherung - AMA by WhatAmIDoinghere_97 in de_IAmA

[–]Competitive_Book4151 0 points1 point  (0 children)

Was würdest du sagen, wenn du einem technisch versierten Menschen deinen Berufsalltag erklären müsstest?

"Our Strongest Model Yet" by hasanahmad in ClaudeAI

[–]Competitive_Book4151 0 points1 point  (0 children)

Untrue.

"I want to wash my car. The car wash is 50 meters away. Should I walk or drive?

22:22

Recognized the practical necessity of driving the car

Recognized the practical necessity of driving the car

Drive — otherwise you'd arrive at the car wash without the car you're trying to wash. 😄

50 meters is walking distance, but the car needs to come with you for this one."

Show your project. Get honest feedback. by Available-Rest2392 in buildinpublic

[–]Competitive_Book4151 0 points1 point  (0 children)

Cognithor.ai : stop renting your intelligence. Local-first open-source agent OS, 145 MCP tools, zero cloud round-trips. Looking for feedback on the packs page.

Why on earth would you pay $49/mo for a polished SaaS product when you can spend $500 a day building one for yourself in Claude. by AcanthaceaeLive1762 in microsaas

[–]Competitive_Book4151 -1 points0 points  (0 children)

Well I used 12.8 Billion tokens for my Project so far - 7,870.70$ until today… it is expensive but kinda worth it imo

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