When multiple agents share a workspace, logic collides: roles blur, memories overwrite, tasks loop.
WFGY anchors each agent’s reasoning in a tagged Semantic Tree, keeping distributed plans coherent.
| Sign | What You See |
|---|
| Contradicting orders | Agent A says “Abort,” Agent B says “Proceed” |
| Inconsistent memory | Knowledge diverges between agents |
| Lost provenance | No one can tell which agent made a decision |
| Incoherent collective speech | Replies read like a scrambled chorus |
| State drift | Later actions overwrite earlier plans |
| Weakness | Result |
|---|
| No central semantic state | Agents store context only in local tokens |
| No ΔS peer tracking | Systems can’t detect inter‑agent divergence |
| Flat memory | No role tagging or version history |
| Independent grammars | Each agent invents its own logic path |
| Problem | Module | Remedy |
|---|
| Memory inconsistency | Semantic Tree + ID stamps | Each node tagged by agent_id + version |
| Role confusion | Role‑indexed BBPF | Distinct reasoning forks per agent |
| Task overlap | ΔS divergence monitor | Flags early collision |
| State overwrite | Memory checkpoints | Agents fork from last stable node |
1️⃣ Start
> Start
2️⃣ Assign roles
> Agent_A: Scout
> Agent_B: Medic
> Agent_C: Engineer
3️⃣ Plan mission (parallel prompts)
4️⃣ Inspect overlap
> view
Tree shows:
• Agent_A/Node_4C (scout path)
• Agent_B/Node_2B (medic path)
ΔS collision detected between Node_4C & Node_2B → BBCR suggests merge
Result: one coherent rescue plan, no role mix‑ups.
| Module | Role |
|---|
| Semantic Tree | Tags nodes by agent & version |
| BBPF | Forks role‑specific logic paths |
| BBMC | Filters semantic collisions |
| ΔS Metric | Detects divergence between agents |
| BBCR | Resolves or rolls back conflicts |
| Feature | State |
|---|
| Cross‑agent Tree | ✅ Stable |
| Per‑agent ΔS tracking | ✅ Active |
| Conflict detection | ✅ Active |
| Memory lock / sync | 🔜 In progress |
- Use
agent_id prefix in prompts to auto‑tag nodes.
- Enable
conflict_alert = true to get real‑time divergence warnings.
- Complex multi‑agent logs? Post them in Discussions—they refine collision rules.
| Tool | Link | 3-Step Setup |
|---|
| WFGY 1.0 PDF | Engine Paper | 1️⃣ Download · 2️⃣ Upload to your LLM · 3️⃣ Ask “Answer using WFGY + <your question>” |
| TXT OS (plain-text OS) | TXTOS.txt | 1️⃣ Download · 2️⃣ Paste into any LLM chat · 3️⃣ Type “hello world” — OS boots instantly |
| Layer | Page | What it’s for |
|---|
| ⭐ Proof | WFGY Recognition Map | External citations, integrations, and ecosystem proof |
| ⚙️ Engine | WFGY 1.0 | Original PDF tension engine and early logic sketch (legacy reference) |
| ⚙️ Engine | WFGY 2.0 | Production tension kernel for RAG and agent systems |
| ⚙️ Engine | WFGY 3.0 | TXT based Singularity tension engine (131 S class set) |
| 🗺️ Map | Problem Map 1.0 | Flagship 16 problem RAG failure taxonomy and fix map |
| 🗺️ Map | Problem Map 2.0 | Global Debug Card for RAG and agent pipeline diagnosis |
| 🗺️ Map | Problem Map 3.0 | Global AI troubleshooting atlas and failure pattern map |
| 🧰 App | TXT OS | .txt semantic OS with fast bootstrap |
| 🧰 App | Blah Blah Blah | Abstract and paradox Q&A built on TXT OS |
| 🧰 App | Blur Blur Blur | Text to image generation with semantic control |
| 🏡 Onboarding | Starter Village | Guided entry point for new users |
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