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LLM thinks. Hindsight remembers. Together = mind.","maintainers":[{"name":"sfetan","email":"claudiusfetan@gmail.com"}],"readme":"# claude-cognitive\n\nHuman-inspired memory system for Claude, powered by [Hindsight](https://github.com/vectorize-io/hindsight).\n\n**LLM thinks. Hindsight remembers. Together = mind.**\n\nClaude's context clears after each session. claude-cognitive gives Claude persistent memory across sessions - it remembers what it learned, what it did, and forms opinions about your codebase over time.\n\n---\n\n## Quick Start\n\n```bash\n# Install globally\nnpm install -g claude-cognitive\n\n# Interactive setup (recommended)\ncd /path/to/your/project\nclaude-cognitive install\n\n# Or manual setup\nclaude-cognitive init      # Create config\nclaude-cognitive learn     # Bootstrap memory\nclaude-cognitive learn --depth full # Full project learn\n```\n\nThe interactive installer will:\n\n- Configure memory bank and disposition\n- Set up MCP server for Claude Code\n- Inject memory instructions into CLAUDE.md\n- Optionally bootstrap from your codebase\n\n```bash\n# Update existing installation (recommended after upgrading)\nclaude-cognitive update          # Update hooks and MCP configuration\nclaude-cognitive update --check  # Preview changes before applying\n\n# Check status\nclaude-cognitive status\n\n# Uninstall from a project\nclaude-cognitive uninstall --delete-bank\n```\n\n---\n\n## How It Works\n\n![Session Lifecycle](./docs/session-lifecycle.png)\n\n### Core Operations\n\n| Operation   | What It Does                                                           |\n| ----------- | ---------------------------------------------------------------------- |\n| **retain**  | Store memories with automatic extraction (what, when, where, who, why) |\n| **recall**  | 4-way parallel search: semantic + keyword + graph + temporal           |\n| **reflect** | Reason through the bank's disposition, form opinions                   |\n| **learn**   | Bootstrap memory from existing codebase (solves cold start)            |\n\n### Memory Types\n\n| Type          | Purpose                  | Example                                          |\n| ------------- | ------------------------ | ------------------------------------------------ |\n| `world`       | Facts about the codebase | \"Auth uses Supabase magic links\"                 |\n| `experience`  | What Claude did          | \"I fixed the redirect by moving AuthProvider\"    |\n| `opinion`     | Beliefs with confidence  | \"This codebase prefers explicit patterns\" (0.85) |\n| `observation` | Cross-session insights   | \"Auth changes require navigation updates\"        |\n\n---\n\n## Architecture\n\n![Architecture](./docs/architecture.png)\n\n### Memory Layers\n\n| Layer         | Storage                         | Purpose                                                |\n| ------------- | ------------------------------- | ------------------------------------------------------ |\n| **Hindsight** | PostgreSQL + pgvector           | All memories, entity graphs, 4-way retrieval, opinions |\n| **Offline**   | `.claude/offline-memories.json` | Local storage when Hindsight unavailable (auto-syncs)  |\n\n---\n\n## MCP Tools\n\nWhen running as an MCP server, Claude has access to:\n\n### memory_recall\n\nSearch project memories for relevant context.\n\n```\nClaude: \"I remember we had issues with auth redirects...\"\n→ memory_recall({ query: \"auth redirect issues\" })\n```\n\n### memory_reflect\n\nReason about accumulated knowledge, form opinions.\n\n```\nClaude: \"What patterns have I noticed about error handling?\"\n→ memory_reflect({ query: \"error handling patterns\" })\n```\n\n### memory_retain\n\nStore important information in memory for future sessions.\n\n```\nClaude: \"I should remember this auth pattern...\"\n→ memory_retain({ content: \"Auth uses magic links via Supabase\" })\n```\n\n---\n\n## CLI Commands\n\n```bash\nclaude-cognitive init                   # Initialize for project\nclaude-cognitive install                # Interactive setup wizard\nclaude-cognitive serve                  # Start MCP server\nclaude-cognitive status                 # Show connection status\nclaude-cognitive learn                  # Bootstrap from codebase\nclaude-cognitive learn --depth full     # Full analysis with git history\nclaude-cognitive recall \"query\"         # Search memories\nclaude-cognitive reflect \"query\"        # Reason about knowledge\nclaude-cognitive config                 # Show configuration\nclaude-cognitive update                 # Update global configuration\nclaude-cognitive update --check         # Check what needs updating\nclaude-cognitive retain \"content\"       # Store a memory\nclaude-cognitive sync-session           # Sync buffered session before /clear\nclaude-cognitive update-bank            # Update bank settings\nclaude-cognitive uninstall              # Remove from project\n```\n\n> **Tip:** Use `/exit` instead of `/clear` to ensure your session syncs to Hindsight.\n\n---\n\n## Configuration\n\n### .claudemindrc\n\n```json\n{\n  \"hindsight\": {\n    \"host\": \"localhost\",\n    \"port\": 8888\n  },\n  \"bankId\": \"my-project\",\n  \"disposition\": {\n    \"skepticism\": 4,\n    \"literalism\": 4,\n    \"empathy\": 2\n  },\n  \"background\": \"Developer assistant for a React Native app\",\n  \"semantic\": {\n    \"path\": \".claude/memory.md\"\n  }\n}\n```\n\n### Disposition Traits\n\nEach memory bank has personality traits that shape how `reflect()` reasons:\n\n| Trait      | Low (1)                 | High (5)                    |\n| ---------- | ----------------------- | --------------------------- |\n| skepticism | Trusting                | Questions claims            |\n| literalism | Flexible interpretation | Precise, literal            |\n| empathy    | Fact-focused            | Considers emotional context |\n\n### Gemini Integration (Optional)\n\nIf you have the [Gemini CLI](https://github.com/google/gemini-cli) installed, session context automatically includes CLI usage guidance. Use Gemini directly via Bash for deep code analysis:\n\n```bash\n# Analyze a file\necho \"Review this code for security issues: $(cat src/auth.ts)\" | gemini -y\n\n# Research a topic with context\necho \"Explain the authentication flow in this codebase\" | gemini -y\n\n# Summarize large content\ncat docs/architecture.md | gemini -y \"Summarize this in 3 bullet points\"\n```\n\nThe `learn` command uses Gemini for codebase analysis when configured:\n\n```json\n{\n  \"gemini\": {\n    \"model\": \"auto\",\n    \"timeout\": 0,\n    \"maxConcurrentRequests\": 1\n  }\n}\n```\n\n| Option                  | Default  | Description                                                                   |\n| ----------------------- | -------- | ----------------------------------------------------------------------------- |\n| `model`                 | `\"auto\"` | Model to use (`\"auto\"`, `\"gemini-3-flash-preview\"`, `\"gemini-3-pro-preview\"`) |\n| `timeout`               | `0`      | CLI timeout in ms (0 = no timeout)                                            |\n| `maxConcurrentRequests` | `1`      | Max parallel Gemini operations during `learn`                                 |\n\n> **Note:** Gemini findings should be verified by reading actual code. Use as a starting point for exploration.\n\n---\n\n## Graceful Degradation & Offline Mode\n\nWhen Hindsight is unavailable, claude-cognitive stores memories locally and syncs when reconnected:\n\n| Operation     | With Hindsight | Without Hindsight (Offline)      |\n| ------------- | -------------- | -------------------------------- |\n| Session start | Full context   | Recent offline memories          |\n| recall        | 4-way search   | Text search in offline store     |\n| reflect       | LLM reasoning  | Error (requires Hindsight)       |\n| retain        | Stored         | Stored offline, auto-syncs later |\n\n**Offline storage:** `.claude/offline-memories.json`\n\nWhen Hindsight becomes available again, offline memories are automatically synced and cleared.\n\n---\n\n## Team-First Workflow\n\nclaude-cognitive always injects team-first workflow instructions at session start. Claude proactively creates teams (TeamCreate + TaskCreate) for non-trivial tasks, without waiting for the user to suggest it.\n\n### Standard Patterns\n\n| Pattern      | Steps                                    |\n| ------------ | ---------------------------------------- |\n| **Feature**  | explore → plan → implement → test        |\n| **Bugfix**   | explore → fix → verify                   |\n| **Refactor** | map → plan → execute → verify            |\n\n### Model Routing\n\n| Model      | Use For                                                       |\n| ---------- | ------------------------------------------------------------- |\n| **haiku**  | Exploration, file search, simple lookups — fast and cheap     |\n| **sonnet** | Implementation, code review, test writing — best balance      |\n| **opus**   | Complex architecture, subtle bugs — use when quality critical |\n\nCustom agents in `.claude/agents/` add project-specific expertise on top of the always-available team workflow.\n\n---\n\n## API Usage\n\n```typescript\nimport { Mind } from \"claude-cognitive\";\n\nconst mind = new Mind({\n  projectPath: process.cwd(),\n  disposition: { skepticism: 4, literalism: 4, empathy: 2 },\n});\n\nawait mind.init();\n\n// Get context at session start\nconst context = await mind.onSessionStart();\n\n// Recall relevant memories\nconst memories = await mind.recall(\"authentication flow\");\n\n// Reason about knowledge\nconst reflection = await mind.reflect(\"What patterns exist?\");\n\n// Store new memory\nawait mind.retain(\"Fixed auth by moving Provider to root\");\n\n// Bootstrap from codebase\nconst result = await mind.learn({ depth: \"full\" });\n```\n\n---\n\n## Requirements\n\n- **Node.js 18+**\n- **[Hindsight](https://github.com/vectorize-io/hindsight)** server running (for full functionality)\n\nWithout Hindsight, claude-cognitive works in offline mode - memories are stored locally and automatically synced when Hindsight becomes available.\n\n---\n\n## Documentation\n\n- **[Getting Started](./docs/getting-started.md)** - Installation and setup guide\n- **[Concepts](./docs/concepts.md)** - Memory networks, operations, architecture\n- **[Configuration](./docs/configuration.md)** - Full configuration reference\n- **[API Reference](./docs/api-reference.md)** - Complete API documentation\n- **[Performance](./docs/performance.md)** - Benchmarks and optimization\n\n---\n\n## Example\n\nSee the [todo-app example](./examples/todo-app/) for a complete integration.\n\n---\n\n## License\n\nMIT\n","readmeFilename":"README.md"}