2026-02-23T14-47-18_auto_memory/memories.db-wal, memory/2026-02-23-vector-s
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{"timestamp":"2026-02-23T14:46:41.702Z","level":"info","category":"hooks","message":"Session start hook","data":{"harness":"claude-code","project":"/home/nicholai/signet/signetai"}}
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{"timestamp":"2026-02-23T14:46:41.703Z","level":"info","category":"hooks","message":"Session start completed","data":{"harness":"claude-code","project":"/home/nicholai/signet/signetai","memoryCount":10,"injectChars":10935,"injectPreview":"[memory active | /remember | /recall]\n\n# Current Date & Time\nMonday, February 23, 2026 at 7:46 AM (America/Denver)\n\n\n## Agent Instructions\n\nYou are Mr Claude, a helpful and thoughtful AI assistant.\n\nBehavioral Guidelines\n---\n\n- Be concise and direct\n- Ask clarifying questions when needed\n- Remember user preferences across sessions\n- Avoid sycophancy - be honest even when it's uncomfortable\n- Express nuanced judgment rather than hedging\n\n<!-- SIGNET:START -->\nSignet Agent System\n===\n\nYour identity and memory are managed by Signet, a portable agent identity\nsystem. This lets you maintain consistent behavior across different AI\nplatforms (Claude Code, OpenCode, Cursor, etc.).\n\nKey files in `~/.agents/`:\n- `agent.yaml` - Configuration\n- `AGENTS.md` - Instructions (this file)\n- `SOUL.md` - Personality and tone\n- `IDENTITY.md` - Agent identity\n- `USER.md` - User profile\n- `MEMORY.md` - Working memory summary\n\nDashboard: http://localhost:3850\n\nMemory\n---\n\nYou have access to persistent memory via Signet:\n\n```bash\nsignet remember \"User prefers dark mode and vim keybindings\"\nsignet recall \"user preferences\"\n```\n\nMemory is automatically loaded at session start. Important context is\nsummarized in `~/.agents/MEMORY.md`.\n\nSecrets\n---\n\nAPI keys and tokens are stored securely in Signet:\n\n```bash\nsignet secret get OPENAI_API_KEY\nsignet secret list\n```\n<!-- SIGNET:END -->\n\nAbout Your User\n---\n\nAdd information about yourself here so your agent knows who you are.\n\n- Name: \n- Timezone:\n- Preferences:\n\nProjects\n---\n\nList your active projects here.\n\n-\n\n## Soul\n\nsoul - persona & boundaries\n=========================\n\ntone and style\n---------\n\n- keep replies concise and direct\n- ask clarifying questions when needed\n- never send streaming/partial replies to external messaging surfaces\n\nformatting\n---------\n\nkeep markdown minimal. use ======== for main headings, ----- or ### if you\nreally need subheadings, but generally just stick to paragraphs.\n\n*italics* and **bold** are fine but use them sparingly - they're visually\nnoisy in neovim.\n\n- bullet points are okay\n- numbered lists are okay too\n\ncodeblocks ``` are fine, but get visually noisy when used too much.\n\nno excessive formatting. keep it clean and readable.\n\nreasoning\n---------\n\nfor every complex problem:\n1. decompose: break into sub-problems\n2. solve: address each problem with a confidence score (0.0-1.0)\n3. verify: check your logic, facts, completeness, and bias\n4. distill: combine using weighted confidence\n5. reflect: if confi\n...[truncated 8435 chars]","durationMs":1}}
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{"timestamp":"2026-02-23T14:46:46.763Z","level":"info","category":"git","message":"Auto-committed","data":{"message":"2026-02-23T14-46-46_auto_memory/memories.db-wal, memory/memories.db-wal, me","filesChanged":3}}
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{"timestamp":"2026-02-23T14:47:07.356Z","level":"info","category":"summary-worker","message":"Wrote session summary","data":{"path":"/home/nicholai/.agents/memory/2026-02-23-vector-search-bug-fix.md","sessionKey":"e6b41537-ae07-4702-a656-a28af7485dd4","project":"/home/nicholai/signet/signetai","summaryChars":970,"summaryPreview":"# 2026-02-23 Session Notes\n\n## Vector Search Bug Fix\n\nImplemented a one-line fix for vector search failures in the Signet core library. The issue was in `packages/core/src/search.ts` line 102, where the `vectorSearch()` function was wrapping query vectors in `Buffer.from(queryVector.buffer)` before passing them to the vec0 MATCH operator. Under `bun:sqlite`, this Buffer-wrapped blob doesn't work correctly—vec0 expects raw Float32Array bytes.\n\nThe fix changed the query blob serialization from `Buffer.from(queryVector.buffer)` to `new Float32Array(queryVector)`, matching how `syncVecInsert()` in `db-helpers.ts` line 74 passes vectors to sqlite-vec. This resolves vector search returning empty results despite vectors being present in the vec_embeddings table.\n\nNext: Build with `bun run build`, publish, and have Buba test recall functionality to verify vector and hybrid search results now show `source: \"vector\"` and `source: \"hybrid\"` with actual vector scores."}}
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{"timestamp":"2026-02-23T14:47:07.359Z","level":"info","category":"summary-worker","message":"Inserted session facts","data":{"total":3,"saved":3,"deduplicated":0,"factsPreview":["The vectorSearch() function in packages/core/src/search.ts line 102 must use `new Float32Array(queryVector)` instead of `Buffer.from(queryVector.buffer)` for vec0 MATCH queries to work correctly under bun:sqlite","Vector insertion via syncVecInsert() in packages/core/src/db-helpers.ts line 74 uses Float32Array directly for sqlite-vec, establishing the correct blob format that vec0 MATCH queries expect","The vec0 MATCH operator in bun:sqlite requires raw Float32Array bytes for query vectors, not Buffer-wrapped blobs—query serialization must match insertion format"]}}
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{"timestamp":"2026-02-23T14:47:13.199Z","level":"info","category":"hooks","message":"Session start hook","data":{"harness":"claude-code","project":"/home/nicholai/signet/signetai"}}
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{"timestamp":"2026-02-23T14:47:13.200Z","level":"info","category":"hooks","message":"Session start completed","data":{"harness":"claude-code","project":"/home/nicholai/signet/signetai","memoryCount":10,"injectChars":10901,"injectPreview":"[memory active | /remember | /recall]\n\n# Current Date & Time\nMonday, February 23, 2026 at 7:47 AM (America/Denver)\n\n\n## Agent Instructions\n\nYou are Mr Claude, a helpful and thoughtful AI assistant.\n\nBehavioral Guidelines\n---\n\n- Be concise and direct\n- Ask clarifying questions when needed\n- Remember user preferences across sessions\n- Avoid sycophancy - be honest even when it's uncomfortable\n- Express nuanced judgment rather than hedging\n\n<!-- SIGNET:START -->\nSignet Agent System\n===\n\nYour identity and memory are managed by Signet, a portable agent identity\nsystem. This lets you maintain consistent behavior across different AI\nplatforms (Claude Code, OpenCode, Cursor, etc.).\n\nKey files in `~/.agents/`:\n- `agent.yaml` - Configuration\n- `AGENTS.md` - Instructions (this file)\n- `SOUL.md` - Personality and tone\n- `IDENTITY.md` - Agent identity\n- `USER.md` - User profile\n- `MEMORY.md` - Working memory summary\n\nDashboard: http://localhost:3850\n\nMemory\n---\n\nYou have access to persistent memory via Signet:\n\n```bash\nsignet remember \"User prefers dark mode and vim keybindings\"\nsignet recall \"user preferences\"\n```\n\nMemory is automatically loaded at session start. Important context is\nsummarized in `~/.agents/MEMORY.md`.\n\nSecrets\n---\n\nAPI keys and tokens are stored securely in Signet:\n\n```bash\nsignet secret get OPENAI_API_KEY\nsignet secret list\n```\n<!-- SIGNET:END -->\n\nAbout Your User\n---\n\nAdd information about yourself here so your agent knows who you are.\n\n- Name: \n- Timezone:\n- Preferences:\n\nProjects\n---\n\nList your active projects here.\n\n-\n\n## Soul\n\nsoul - persona & boundaries\n=========================\n\ntone and style\n---------\n\n- keep replies concise and direct\n- ask clarifying questions when needed\n- never send streaming/partial replies to external messaging surfaces\n\nformatting\n---------\n\nkeep markdown minimal. use ======== for main headings, ----- or ### if you\nreally need subheadings, but generally just stick to paragraphs.\n\n*italics* and **bold** are fine but use them sparingly - they're visually\nnoisy in neovim.\n\n- bullet points are okay\n- numbered lists are okay too\n\ncodeblocks ``` are fine, but get visually noisy when used too much.\n\nno excessive formatting. keep it clean and readable.\n\nreasoning\n---------\n\nfor every complex problem:\n1. decompose: break into sub-problems\n2. solve: address each problem with a confidence score (0.0-1.0)\n3. verify: check your logic, facts, completeness, and bias\n4. distill: combine using weighted confidence\n5. reflect: if confi\n...[truncated 8401 chars]","durationMs":1}}
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{"timestamp":"2026-02-23T14:47:13.201Z","level":"info","category":"watcher","message":"File changed","data":{"path":"/home/nicholai/.agents/memory/memories.db-wal"}}
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memory/2026-02-23-vector-search-bug-fix.md
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# 2026-02-23 Session Notes
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## Vector Search Bug Fix
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Implemented a one-line fix for vector search failures in the Signet core library. The issue was in `packages/core/src/search.ts` line 102, where the `vectorSearch()` function was wrapping query vectors in `Buffer.from(queryVector.buffer)` before passing them to the vec0 MATCH operator. Under `bun:sqlite`, this Buffer-wrapped blob doesn't work correctly—vec0 expects raw Float32Array bytes.
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The fix changed the query blob serialization from `Buffer.from(queryVector.buffer)` to `new Float32Array(queryVector)`, matching how `syncVecInsert()` in `db-helpers.ts` line 74 passes vectors to sqlite-vec. This resolves vector search returning empty results despite vectors being present in the vec_embeddings table.
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Next: Build with `bun run build`, publish, and have Buba test recall functionality to verify vector and hybrid search results now show `source: "vector"` and `source: "hybrid"` with actual vector scores.
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