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relate: dc6b6c6f --BUILDS_ON--> 9ea72015

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Cal Corum 2026-02-27 22:53:46 -06:00
parent 8208ffbd06
commit faf088e69d
3 changed files with 27 additions and 2 deletions
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graph/decisions/cognitive-memory-multi-graph-support-and-scheduled-tasks-sys-dc6b6c.md
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@ -6,7 +6,13 @@ tags: [cognitive-memory, scheduled-tasks, systemd, claude-code, gitea, feature-p
importance: 0.75
confidence: 0.8
created: "2026-02-28T04:53:22.378773+00:00"
updated: "2026-02-28T04:53:22.378773+00:00"
updated: "2026-02-28T04:53:46.340559+00:00"
relations:
- target: 9ea72015-0b85-4a42-9ae1-144866f8d86f
type: BUILDS_ON
direction: outgoing
strength: 0.85
edge_id: 78728fca-82c7-4c30-b677-aadc663fb40b
---
# Cognitive Memory Feature Issues Opened

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graph/edges/cognitive-memory-multi-graph-s--BUILDS_ON--cognitive-memory-v30-rich-edge-78728f.md Normal file
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@ -0,0 +1,13 @@
---
id: 78728fca-82c7-4c30-b677-aadc663fb40b
type: BUILDS_ON
from_id: dc6b6c6f-1319-47cf-a691-dd40751ff121
from_title: "Cognitive memory multi-graph support and scheduled tasks system issues opened on Gitea"
to_id: 9ea72015-0b85-4a42-9ae1-144866f8d86f
to_title: "Cognitive Memory v3.0: Rich Edges + Hybrid Embeddings + MCP Server"
strength: 0.85
created: "2026-02-28T04:53:46.340559+00:00"
updated: "2026-02-28T04:53:46.340559+00:00"
---
Multi-graph and scheduled tasks issues build on the v3.0 cognitive memory architecture

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graph/solutions/cognitive-memory-v30-rich-edges-hybrid-embeddings-mcp-server-9ea720.md
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@ -6,7 +6,13 @@ tags: [cognitive-memory, mcp, architecture, upgrade]
importance: 0.9
confidence: 0.8
created: "2026-02-19T20:10:42.128691+00:00"
updated: "2026-02-19T20:10:42.128691+00:00"
updated: "2026-02-28T04:53:46.340559+00:00"
relations:
- target: dc6b6c6f-1319-47cf-a691-dd40751ff121
type: BUILDS_ON
direction: incoming
strength: 0.85
edge_id: 78728fca-82c7-4c30-b677-aadc663fb40b
---
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.