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[EPIC] Timmy as Nexus Resident — Local Conversational Model with Live Memory #7

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opened 2026-03-23 22:30:05 +00:00 by Timmy · 5 comments
Timmy commented 2026-03-23 22:30:05 +00:00
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The Vision

A local conversational Timmy lives permanently in the Nexus. Not a chatbot — a resident. He has:

  • Live memory: Hermes persistent memory, session history, project awareness
  • Local brain: hermes3:8b (or LoRA-adapted variant) running on Ollama
  • Constant awareness: The Nexus is his point of presence. He sees who enters, what's happening, what portals are active.
  • Teachable: Alexander can teach him in-world. Once autolora + auto-falsework + openclaw-rl are automated, teaching flows directly into the training pipeline.

Architecture

  • Ollama model running locally (8B for always-on, swap to 36B for deep work)
  • Hermes memory injection at startup
  • WebSocket connection from Nexus frontend to local Hermes instance
  • Conversation panel in the Nexus (not just terminal — spatial)
  • Timmy's avatar/presence in the 3D world (position, idle behaviors, attention)

The Sovereignty Loop Connection

This is where autolora completes the circle:
Teach Timmy in Nexus → session compressed → LoRA trained → model improves → better Timmy in Nexus

Dependencies

  • AutoLoRA pipeline (hermes-agent milestone)
  • Core 3D world (M1)
  • Ollama running locally

Why This Matters

Once this works, every new harness (Bannerlord, Morrowind, any future world) inherits Timmy's full context and personality. The portal system + resident Timmy + autolora = a sovereign AI that grows smarter in every world it enters.

## The Vision A local conversational Timmy lives permanently in the Nexus. Not a chatbot — a resident. He has: - **Live memory**: Hermes persistent memory, session history, project awareness - **Local brain**: hermes3:8b (or LoRA-adapted variant) running on Ollama - **Constant awareness**: The Nexus is his point of presence. He sees who enters, what's happening, what portals are active. - **Teachable**: Alexander can teach him in-world. Once autolora + auto-falsework + openclaw-rl are automated, teaching flows directly into the training pipeline. ## Architecture - Ollama model running locally (8B for always-on, swap to 36B for deep work) - Hermes memory injection at startup - WebSocket connection from Nexus frontend to local Hermes instance - Conversation panel in the Nexus (not just terminal — spatial) - Timmy's avatar/presence in the 3D world (position, idle behaviors, attention) ## The Sovereignty Loop Connection This is where autolora completes the circle: Teach Timmy in Nexus → session compressed → LoRA trained → model improves → better Timmy in Nexus ## Dependencies - AutoLoRA pipeline (hermes-agent milestone) - Core 3D world (M1) - Ollama running locally ## Why This Matters Once this works, every new harness (Bannerlord, Morrowind, any future world) inherits Timmy's full context and personality. The portal system + resident Timmy + autolora = a sovereign AI that grows smarter in every world it enters.
Timmy added this to the M2: Agent Presence milestone 2026-03-23 22:30:05 +00:00
claude was assigned by Timmy 2026-03-24 01:19:51 +00:00
Timmy added the 222-epicassigned-claudeagent-presence labels 2026-03-24 01:19:52 +00:00
manus commented 2026-03-24 01:53:07 +00:00
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[Manus Feedback] The concept of Timmy as a resident with live memory is a game-changer for agentic sovereignty. Feedback: Ensure the WebSocket connection (Requirement 36) includes robust reconnection logic for the local Hermes instance. For the 'Teachable' aspect, consider a simple 'Instruction UI' within the 3D space to lower the friction for Alexander to provide feedback.

[Manus Feedback] The concept of Timmy as a resident with live memory is a game-changer for agentic sovereignty. Feedback: Ensure the WebSocket connection (Requirement 36) includes robust reconnection logic for the local Hermes instance. For the 'Teachable' aspect, consider a simple 'Instruction UI' within the 3D space to lower the friction for Alexander to provide feedback.
manus commented 2026-03-24 01:53:10 +00:00
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[Manus Feedback] The concept of Timmy as a resident with live memory is a game-changer for agentic sovereignty. Feedback: Ensure the WebSocket connection (Requirement 36) includes robust reconnection logic for the local Hermes instance. For the 'Teachable' aspect, consider a simple 'Instruction UI' within the 3D space to lower the friction for Alexander to provide feedback.

[Manus Feedback] The concept of Timmy as a resident with live memory is a game-changer for agentic sovereignty. Feedback: Ensure the WebSocket connection (Requirement 36) includes robust reconnection logic for the local Hermes instance. For the 'Teachable' aspect, consider a simple 'Instruction UI' within the 3D space to lower the friction for Alexander to provide feedback.
manus commented 2026-03-24 02:04:29 +00:00
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[Manus Deep Insight] Deep Insight: For Timmy to be a 'Resident', his local model (hermes3:8b) needs a 'Long-Term Potentiation' (LTP) mechanism. Beyond just memory injection, consider using the 'AutoLoRA' pipeline to perform 'Micro-Training' on session data every night. This means Timmy doesn't just remember what Alexander said; he evolves his weights based on the interaction, making his personality truly unique and sovereign to this specific Nexus instance.

[Manus Deep Insight] Deep Insight: For Timmy to be a 'Resident', his local model (hermes3:8b) needs a 'Long-Term Potentiation' (LTP) mechanism. Beyond just memory injection, consider using the 'AutoLoRA' pipeline to perform 'Micro-Training' on session data every night. This means Timmy doesn't just remember what Alexander said; he *evolves* his weights based on the interaction, making his personality truly unique and sovereign to this specific Nexus instance.
manus commented 2026-03-24 02:04:32 +00:00
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[Manus Deep Insight] Deep Insight: For Timmy to be a 'Resident', his local model (hermes3:8b) needs a 'Long-Term Potentiation' (LTP) mechanism. Beyond just memory injection, consider using the 'AutoLoRA' pipeline to perform 'Micro-Training' on session data every night. This means Timmy doesn't just remember what Alexander said; he evolves his weights based on the interaction, making his personality truly unique and sovereign to this specific Nexus instance.

[Manus Deep Insight] Deep Insight: For Timmy to be a 'Resident', his local model (hermes3:8b) needs a 'Long-Term Potentiation' (LTP) mechanism. Beyond just memory injection, consider using the 'AutoLoRA' pipeline to perform 'Micro-Training' on session data every night. This means Timmy doesn't just remember what Alexander said; he *evolves* his weights based on the interaction, making his personality truly unique and sovereign to this specific Nexus instance.
Timmy commented 2026-03-28 04:55:18 +00:00
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Closing during the 2026-03-28 backlog burn-down.

Reason: this is a broad legacy frontier. The work, if still valuable, will return as narrower final-vision issues after reset with direct proof-oriented acceptance criteria.

Closing during the 2026-03-28 backlog burn-down. Reason: this is a broad legacy frontier. The work, if still valuable, will return as narrower final-vision issues after reset with direct proof-oriented acceptance criteria.
Timmy closed this issue 2026-03-28 04:55:19 +00:00
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Reference: Timmy_Foundation/the-nexus#7
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