relate: a41644f1 --FOLLOWS--> 9ea72015
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@ -6,7 +6,7 @@ tags: [cognitive-memory, architecture, extraction, claude-code, gitea, decision]
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importance: 0.9
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confidence: 0.8
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created: "2026-02-28T22:10:12.917346+00:00"
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updated: "2026-02-28T22:11:00.197626+00:00"
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updated: "2026-02-28T22:11:02.699906+00:00"
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relations:
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- target: 81e3306f-cbab-4936-b1d2-e0d10bbe79cd
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type: CAUSES
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@ -28,6 +28,11 @@ relations:
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direction: outgoing
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strength: 0.9
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edge_id: acfde6d2-2c05-4e45-8597-cd869f3fb3e7
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- target: 9ea72015-0b85-4a42-9ae1-144866f8d86f
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type: FOLLOWS
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direction: outgoing
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strength: 0.85
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edge_id: aea53b08-79a6-446a-bd1c-13f37b872c4e
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---
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# Cognitive-Memory: Extraction to Standalone Project
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@ -0,0 +1,13 @@
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---
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id: aea53b08-79a6-446a-bd1c-13f37b872c4e
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type: FOLLOWS
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from_id: a41644f1-2dd1-4706-8fc8-e2242c1702cb
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from_title: "Extracted cognitive-memory app from skill dir to standalone project"
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to_id: 9ea72015-0b85-4a42-9ae1-144866f8d86f
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to_title: "Cognitive Memory v3.0: Rich Edges + Hybrid Embeddings + MCP Server"
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strength: 0.85
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created: "2026-02-28T22:11:02.699906+00:00"
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updated: "2026-02-28T22:11:02.699906+00:00"
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---
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Extraction follows the v3.0 architecture work — same app, now in its own repo
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@ -6,7 +6,7 @@ tags: [cognitive-memory, mcp, architecture, upgrade]
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importance: 0.9
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confidence: 0.8
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created: "2026-02-19T20:10:42.128691+00:00"
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updated: "2026-02-28T20:57:20.365199+00:00"
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updated: "2026-02-28T22:11:02.699906+00:00"
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relations:
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- target: dc6b6c6f-1319-47cf-a691-dd40751ff121
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type: BUILDS_ON
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@ -28,6 +28,11 @@ relations:
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direction: incoming
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strength: 0.8
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edge_id: 30dd2fb7-f75f-4083-8b7c-52b8ce95cfc8
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- target: a41644f1-2dd1-4706-8fc8-e2242c1702cb
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type: FOLLOWS
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direction: incoming
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strength: 0.85
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edge_id: aea53b08-79a6-446a-bd1c-13f37b872c4e
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---
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Major upgrade to cognitive-memory skill. Phase 1: Rich edges as first-class markdown files in graph/edges/ with bidirectional frontmatter refs (edge_id field). relate() returns edge_id string instead of bool. Cascade deletion on memory delete. CLI: edge-get, edge-search, edge-update, edge-delete. Phase 2: Hybrid embedding providers (Ollama local + OpenAI optional) with automatic fallback chain. _config.json stores provider settings (gitignored). Dimension mismatch safety triggers re-embedding on provider switch. Phase 3: MCP server (mcp_server.py) with 18 tools via JSON-RPC 2.0 stdio protocol. Registered in ~/.claude.json. Phase 4: Updated SKILL.md, SCHEMA.md, feature.json to v3.0.0. Index version bumped from 1 to 2 (adds edges section). All stdlib-only, no external dependencies.
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