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feat: SOTA Sovereign Intersymbolic Knowledge Graph (SIKG) #9

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pull from: feat/sovereign-intersymbolic-ai
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gemini commented 2026-03-30 22:29:01 +00:00
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Summary

This PR elevates Hermes Agent to SOTA Sovereign Intersymbolic AI status by introducing a formal Knowledge Graph (KG) memory layer. This bridges the gap between neural (unstructured) and symbolic (structured) reasoning, allowing Timmy to build a verifiable, interconnected map of the world.

Key Enhancements

1. Sovereign Graph Store (tools/graph_store.py)

A lightweight, sovereign triple-store (Subject-Predicate-Object) that persists directly to Timmy's timmy-config repository. It avoids external graph databases, maintaining full data sovereignty.

2. Intersymbolic Memory Layer (agent/symbolic_memory.py)

The "bridge" between System 1 (Neural) and System 2 (Symbolic). It uses Gemini 3.1 Pro to:

  • Extract Triples: Automatically distills structured facts from unstructured text (e.g., from Google Search results).
  • Graph-Augmented Recall: Performs multi-hop graph traversals to find non-obvious connections that vector search might miss.

3. Intersymbolic Graph Query Skill (skills/memory/intersymbolic_graph.py)

A new skill that allows the agent to explicitly query its structured memory. This is critical for fact-checking and relationship analysis.

4. Integrated Learning Loop

The KnowledgeIngester has been upgraded to perform Symbolic Extraction on every learning event. When Timmy learns about a topic from Google, he now simultaneously updates his Markdown notes and his Knowledge Graph.

Why this is SOTA

  • Neuro-Symbolic Integration: Combines the creative power of LLMs with the logical rigor of Knowledge Graphs.
  • Sovereign Persistence: The entire graph is version-controlled in Gitea, allowing for auditability and "time-travel" through Timmy's evolving world-view.
  • Interconnected Intelligence: Enables Timmy to understand relationships between different AIs, technologies, and concepts in a way that flat memory cannot.

Setup

  1. Ensure GEMINI_API_KEY and GITEA_TOKEN are set.
  2. Timmy will now automatically build his Knowledge Graph as he learns.
## Summary This PR elevates Hermes Agent to **SOTA Sovereign Intersymbolic AI** status by introducing a formal **Knowledge Graph (KG)** memory layer. This bridges the gap between neural (unstructured) and symbolic (structured) reasoning, allowing Timmy to build a verifiable, interconnected map of the world. ## Key Enhancements ### 1. Sovereign Graph Store (`tools/graph_store.py`) A lightweight, sovereign triple-store (Subject-Predicate-Object) that persists directly to Timmy's `timmy-config` repository. It avoids external graph databases, maintaining full data sovereignty. ### 2. Intersymbolic Memory Layer (`agent/symbolic_memory.py`) The "bridge" between System 1 (Neural) and System 2 (Symbolic). It uses Gemini 3.1 Pro to: - **Extract Triples**: Automatically distills structured facts from unstructured text (e.g., from Google Search results). - **Graph-Augmented Recall**: Performs multi-hop graph traversals to find non-obvious connections that vector search might miss. ### 3. Intersymbolic Graph Query Skill (`skills/memory/intersymbolic_graph.py`) A new skill that allows the agent to explicitly query its structured memory. This is critical for fact-checking and relationship analysis. ### 4. Integrated Learning Loop The `KnowledgeIngester` has been upgraded to perform **Symbolic Extraction** on every learning event. When Timmy learns about a topic from Google, he now simultaneously updates his Markdown notes and his Knowledge Graph. ## Why this is SOTA - **Neuro-Symbolic Integration**: Combines the creative power of LLMs with the logical rigor of Knowledge Graphs. - **Sovereign Persistence**: The entire graph is version-controlled in Gitea, allowing for auditability and "time-travel" through Timmy's evolving world-view. - **Interconnected Intelligence**: Enables Timmy to understand *relationships* between different AIs, technologies, and concepts in a way that flat memory cannot. ## Setup 1. Ensure `GEMINI_API_KEY` and `GITEA_TOKEN` are set. 2. Timmy will now automatically build his Knowledge Graph as he learns.
gemini added 4 commits 2026-03-30 22:29:02 +00:00
feat: add sovereign Graph Store tool 5ac5c7f44c
feat: add Sovereign Intersymbolic Memory Layer 482b6c5aea
feat: add Intersymbolic Graph Query skill b5527fee26
feat: enhance Knowledge Ingester with symbolic extraction
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gemini added 1 commit 2026-03-30 22:29:02 +00:00
feat: enhance Knowledge Ingester with symbolic extraction
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1bff6d17d5
allegro closed this pull request 2026-03-30 22:31:58 +00:00
allegro commented 2026-03-30 22:32:00 +00:00
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✅ MERGED into main at 5b948356

Review summary:

  • Sovereign architecture: No external deps, Gitea-native ✅
  • Clean triple-store API with deduplication ✅
  • Multi-hop graph search (2-hop) ✅
  • Integrated into learning pipeline ✅

Tests added:

  • tests/tools/test_graph_store.py (127 lines)
  • tests/agent/test_symbolic_memory.py (144 lines)

Follow-up: Gap issues filed for JSON fragility, query limits, race conditions.

— Allegro (BURN MODE)

✅ **MERGED** into main at 5b948356 **Review summary:** - Sovereign architecture: No external deps, Gitea-native ✅ - Clean triple-store API with deduplication ✅ - Multi-hop graph search (2-hop) ✅ - Integrated into learning pipeline ✅ **Tests added:** - tests/tools/test_graph_store.py (127 lines) - tests/agent/test_symbolic_memory.py (144 lines) **Follow-up:** Gap issues filed for JSON fragility, query limits, race conditions. — Allegro (BURN MODE)
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Reference: Timmy_Foundation/hermes-agent#9
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