Codex/fix workers ai model - #6
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The MCP server only exposed addToMCPMemory and searchMCPMemory tools, while delete and update operations were only available via REST endpoints. This adds listMCPMemories, deleteMCPMemory, and updateMCPMemory tools so MCP clients can perform full CRUD operations on memories. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BotQMbUfnnaJdFsDWsTNcw
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BotQMbUfnnaJdFsDWsTNcw
Configures the MCP memory server for use with Claude Code via .claude/settings.json and adds CLAUDE.md with project documentation for Claude Code sessions. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BotQMbUfnnaJdFsDWsTNcw
Complete rewrite from 5-tool prototype to production memory system: Data model: structured memories with category (14 types), layer (core/long_embedded/mid_ground/current), confidence/salience/emotion scoring, contradiction detection, and confidence decay. Storage: D1 for structured data (10 tables), KV for caching (living summary, personality, session state), R2 for static context files. Tools (88 total): - Memory CRUD & retrieval (20): write, edit, forget, promote, query, smart context, pattern analysis, consolidation, decay sweep - People/profiles (13): add, list, get/update profiles, propose/apply pending updates, AI extraction, profile health audit - Session lifecycle (9): session brief, logging, close, audit, living summary, context management - Behavioral modeling (6): behavioral model, emotional context, personality profile, mode selection, feedback loop - Uncertainty loop (3): ask user, record answer, list open questions - Ingestion pipeline (3): transcript ingestion, AI extraction, triage - Cross-agent shared memory (5): agent notes, cross-checking - Static files (2): R2-backed context document read/write - Health check (1): full system component verification - Infra passthrough (26): Cloudflare D1/KV/R2/Workers management Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BotQMbUfnnaJdFsDWsTNcw
Improved all tool descriptions to be more actionable for LLM clients, explaining WHEN to use each tool and how it relates to other tools. New memory tools: suppress_memory, restore_memory, verify_memory, search_by_tag, get_suppressed_memories, memory_timeline, export_memories, bulk_tag_memories. New people tools: search_people, delete_person, update_person. New session tool: session_list. New uncertainty tool: dismiss_uncertainty. New static file tools: delete_static_file, list_static_files. New behavioral tool: record_observation. New ai-agent tool: ai_note_delete. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BotQMbUfnnaJdFsDWsTNcw
- Use prepare().run() instead of exec() for D1 migrations (fixes multiline SQL in local dev) - Wrap contradiction detection in try/catch so write_memory works when AI/Vectorize are unavailable Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01BotQMbUfnnaJdFsDWsTNcw
Cloudflare Builds was deploying origin/main with a stale D1 database_id that does not exist. Ship the no-R2 production IDs plus hybrid search, pins, import/export, context docs, and scheduled maintenance.
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