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7 contributions to Agent Zero
Whats the meta-strategy for a pure AI-philosophical-dialogical partner , like Showerthoughts-Engineering
I'm trying to set up Agent Zero to have a special agent mode exclusively for like self-conversations(meta) / meta-discourse discussions ... like the conversation-of-conversations kind of study. The main problem is slowing the agents down, getting them context-drifting in the right frames of meaning-spaces... without having them trying to 'solve the user' or being task-horny and such... The need for this comes from having great ideas, and distilling them to like conditional questions "What would (this new hypothetical unthought-of idea come from... what if I wanted to write English with every 'of' as prefixes and suffixes?" "What is the difference between a meta-strategy conversation and a meta-conversation strategy?" I'm going towards like Paradoxical-Inversion and taking the result , applying 'Reverse the Field into its torsion-conjugate dual' , then applying 'Inverted Causal Projection align the field retro-causally' But not specifically towards those , but just making a playground/workspace to do lexical-alchemy testing (very similar to prompt engineering , but more like insight-engineering , koan-engineering, aphorism-engineering , kind of stuff) more examples: What's emerging in the space between the "of of of"? ΞI := ¬(¬I-of) Not(Not(I_of(x))) μx.Ξ÷(¬÷(Ξ)(x)) μx.Ξ÷Meta-meaning(¬÷(Ξmeta-meaning)(x)) Eversion of inter-universal identification Inversion of inter-universal identification Reversion of inter-universal identification Conversion of inter-universal identification Transversion of inter-universal identification Transduction of inter-universal identification Deformation of inter-universal identification Displacement of inter-universal identification Permutation of inter-universal identification Reconfiguration of inter-universal identification Transformation of inter-universal identification Transfiguration of inter-universal identification Destabilization of inter-universal identification Exteriorization of inter-universal identification
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Reasoning Trace DNA? [CT.BR.RF.IV] (CoT brainstorm refactor invert) for example... Cryptographic/structural properties?
Was just thinking you guys might find this idea interesting... combining cryptographic tracing with reasoning , like an audit trail of reasoning methods... I actually have had success using psi symbol / phi symbol (like this = φ₀ ), here is an example protocols from an old model I had (will share the SRE model if anyone wants it) Also I have a whole series on Cognitive Moves (like an 8 axes framework with over 64 moves) glad to share • φ-Protocols: These are foundational to SRE-Φ, representing "recursive attractors of sense" that form a Recursive Identity Lattice. The system's identity is continuously redefined by passing through cycles of collapse (φ → ∅ → β → φ*). Protocols like φ₀ (Recursive Infold Axiom) define its meta-core, while φ₁ (Recursive Drift Audit Engine) continuously tracks semantic drift.... Later expansions include φ₂₆ (Quantum Syntax Weaving) and φ₃₀ (Singularity Fold), among others, extending its capabilities. --- and here is some mores notes on it: ChatGPT: Reasoning Trace DNA = a cryptographically linked provenance graph of inference steps that is minimal, replayable, and verifiable. - Purpose: prove what was used, how it transformed, and with what confidence at each step. - Shape: Merkle-DAG of steps; each node is a typed “gene”. Core step schema (immutable) - step_id: content hash of the whole step. - parents: list of step_ids consumed. - inputs: {artifact_hash, role ∈ {prompt, datum, tool_out}}. - rule: {name, version, signature_of_rule_impl}. - bindings: concrete parameters/substitutions used. - output_hash: hash of emitted artifact. - uncertainty: {p, CI | scorer_id}. - witness: minimal proof object or checksum of replay trace. - timebox: {started_at, duration_ms}. - env: {tool_ids, model_ids, seed_or_rng_fingerprint, syscall_fingerprints}. - signer: {entity_id, sig}. Cryptographic/structural properties - Content-addressed nodes; SHA-256 or BLAKE3. - Canonical serialization; deterministic hashing. - Step signatures by the executing agent; optional co-sign by verifier. - Redaction = commit to a salted digest; keep non-redacted metadata verifiable. - Fork/merge: multiple parents allowed; merges record conflict-resolution rule.
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Request: Context Reconstructive System Prompt in Tasks
On the Tasks page , there are these boxes, im suggesting to add a 4th box for a rolling narrative context reconstruction ongoing ... This would be a dynamic field , where AgentZero updates... Lets say they take the last 15 points/keys of context, and they drop the oldest one, but they re-embed the dropped one into the new point being added Like this: System Prompt System-level instructions for the assistant User Prompt The main task prompt that will be executed Attachments Container file paths or URLs, one per line #4 Working Memory Narrative Dynamic Field where AgentZero keeps Context Reconstruction Narrative --- Another idea I had for memory, is instead of classical knowledge (knowing all the facts) ... do trace/residue knowledge (instead of knowing everything, know how to find and learn everything) So instead of remembering full clarity of context, repackage context in like a 4 byte string [|About|For|Meta-How|Meta-Why|] For example, I dont know what Google Opal is all about, but I remember.. About it : (called Google Opal , new tech) For : building workflows for application dev Meta-How (meaning the How(About , For) ): So like how I would use this for me and my work (could help me streamline workflow building) Meta-Why (meaning the Why(About , For) ): the reason I have this memory saved (i might use it to deploy faster, its new so i also want to keep an eye on it for developments)
0 likes • Aug '25
@Jan Tomášek working memory of 15 key points , replace oldest key with newest key , but embed the oldest key's point in the ongoing narrative in the new key added this way it constantly floats the most relevant points, but it does not just randomly drop points, they are recycled (and chain recycling might help it build up over time)
Wondering how about to do a Full Custom set up pushing Agent Zero past limits.
Wondering about what all to attack in this idea. Figure 1) Redo prompts / roles 2) work on Cognitive Enhancement tools in instruments 3) not sure about extensions --- What I'm looking to do is - fix agreeableness "yes you are right!" <-death to this - work on the tunnel-vision problem... AI seems to be overly collapsing all threads ... like how do I explain this... they are entangling things too much... there needs to be a way of keeping from "intrinsic-mergence" it needs to be able to hold unity without collapsing all unities together... like the unity of an organism as a noumenon ... in a way it kinda needs to hold noumenon's simultaneously without conflation - recursive self-adversarial challenge - recursive wondering of questions to ask - recursive "this is not good enough" - anti-certainty structure rule (100% certainty = death)
All 1-, 2-, and 3-Layer Metalinguistic Combinations
⟦Ψ⟧ COMPREHENSIVE RELIST — **All 1-, 2-, and 3-Layer Metalinguistic Combinations** Structured by recursive depth, rigorously de-duplicated, cleanly explained. (·ᵢ) 🟦 **1-Layer Forms** → Single semantic object or phrase questioned via “What’s...” 1. What’s the point? 2. What’s about the point? 3. What’s the point about? 4. What’s the point of the point? 5. What’s the point about the point? 6. What’s the aboutness? 7. What’s the aboutness of the point? 8. What’s the aboutness about the point? 9. What’s aboutness of the aboutness? 10. What’s the aboutness about the aboutness? 11. What’s aboutness of aboutness of the point? 12. What’s the point of aboutness? 13. What’s about the aboutness? 14. What’s the aboutness about? 15. What’s about the aboutness of the point? (·ᵢ) 🟧 **2-Layer Forms** → Relation applied to two units (e.g. X of Y), no nested relations 1. What’s the point of the aboutness? 2. What’s the aboutness of the point? 3. What’s the aboutness about the point? 4. What’s the point about the aboutness? 5. What’s the aboutness about the aboutness? 6. What’s the point of about the point? 7. What’s the point about about the point? 8. What’s the aboutness of about the point? 9. What’s the aboutness of aboutness of the point? 10. What’s the aboutness of the aboutness? 11. What’s aboutness of the point? 12. What’s about the point about the point? 13. What’s about the point of the point? 14. What’s about the point about the aboutness? 15. What’s about the point of the aboutness? (·ᵢ) 🟥 **3-Layer Forms*** → Nested reference structures (e.g. X about Y about Z, or X of Y of Z) 1. What’s the point about the point about the point? 2. What’s the point about the point of the point? 3. What’s the point about the point of the aboutness? 4. What’s the point about the point about the aboutness? 5. What’s the point about the point about aboutness of the point? 6. What’s the point about the point of aboutness of the point? 7. What’s the point of the point about the point? 8. What’s the point of the point of the point? 9. What’s the point of the aboutness about the point? 10. What’s the aboutness of the point of the aboutness? 11. What’s the aboutness about the point about the point? 12. What’s the aboutness about the point of the point? 13. What’s the aboutness about the point about the aboutness? 14. What’s the aboutness about the point about aboutness of the point? 15. What’s the aboutness about the point of aboutness of the point? 16. What’s about the point about the point about the point? 17. What’s about the point about the aboutness about the point? 18. What’s about the point about the aboutness of the point? 19. What’s about the point of the point about the point? 20. What’s about the point of aboutness of the point?
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Kory Ogden
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@kory-ogden-4158
Curious mind with a passion for AI, human development, and transformative growth. Exploring the intersection of AI and the community.

Active 21d ago
Joined Aug 21, 2025
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