fleet-memory/CLAUDE.md

CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

Project Overview

Hindsight is an agent memory system that provides long-term memory for AI agents using biomimetic data structures. It stores memories as World facts, Experiences, Opinions, and Observations across memory banks.

Development Commands

API Server (Python/FastAPI)

# Start API server (loads .env automatically)
./scripts/dev/start-api.sh

# Run tests
cd hindsight-api && uv run pytest tests/

# Run specific test file
cd hindsight-api && uv run pytest tests/test_http_api_integration.py -v

# Lint
cd hindsight-api && uv run ruff check .

Control Plane (Next.js)

./scripts/dev/start-control-plane.sh
# Or manually:
cd hindsight-control-plane && npm run dev

Documentation Site (Docusaurus)

./scripts/dev/start-docs.sh

Generating Clients/OpenAPI

# Regenerate OpenAPI spec after API changes
./scripts/generate-openapi.sh

# Regenerate all client SDKs (Python, TypeScript, Rust)
./scripts/generate-clients.sh

Benchmarks

./scripts/benchmarks/run-longmemeval.sh
./scripts/benchmarks/run-locomo.sh
./scripts/benchmarks/start-visualizer.sh  # View results at localhost:8001

Architecture

Monorepo Structure

• hindsight-api/: Core FastAPI server with memory engine (Python, uv)
• hindsight/: Embedded Python bundle (hindsight-all package)
• hindsight-control-plane/: Admin UI (Next.js, npm)
• hindsight-cli/: CLI tool (Rust, cargo)
• hindsight-clients/: Generated SDK clients (Python, TypeScript, Rust)
• hindsight-docs/: Docusaurus documentation site
• hindsight-integrations/: Framework integrations (LiteLLM, OpenAI)
• hindsight-dev/: Development tools and benchmarks

Core Engine (hindsight-api/hindsight_api/engine/)

• memory_engine.py: Main orchestrator for retain/recall/reflect operations
• llm_wrapper.py: LLM abstraction supporting OpenAI, Anthropic, Gemini, Groq, Ollama, LM Studio
• embeddings.py: Embedding generation (local or TEI)
• cross_encoder.py: Reranking (local or TEI)
• entity_resolver.py: Entity extraction and normalization
• query_analyzer.py: Query intent analysis
• retain/: Memory ingestion pipeline
• search/: Multi-strategy retrieval (semantic, BM25, graph, temporal)

API Layer (hindsight-api/hindsight_api/api/)

FastAPI routers for all endpoints. Main operations:

• Retain: Store memories, extracts facts/entities/relationships
• Recall: Retrieve memories via parallel search strategies + reranking
• Reflect: Deep analysis forming new opinions/observations

Database

PostgreSQL with pgvector. Schema managed via Alembic migrations in hindsight-api/hindsight_api/alembic/. Migrations run automatically on API startup.

Key tables: banks, memory_units, documents, entities, entity_links

Key Conventions

Memory Banks

• Each bank is isolated (no cross-bank data access)
• Banks have dispositions (skepticism, literalism, empathy traits 1-5) affecting reflect
• Banks can have background context

API Design

• All endpoints operate on a single bank per request
• Multi-bank queries are client responsibility
• Disposition traits only affect reflect, not recall

Python Style

• Python 3.11+, type hints required
• Async throughout (asyncpg, async FastAPI)
• Pydantic models for request/response
• Ruff for linting (line-length 120)

TypeScript Style

• Next.js App Router for control plane
• Tailwind CSS with shadcn/ui components

Environment Setup

cp .env.example .env
# Edit .env with LLM API key

# Python deps
uv sync --directory hindsight-api/

# Node deps (workspace)
npm install

Required env vars:

• HINDSIGHT_API_LLM_PROVIDER: openai, anthropic, gemini, groq, ollama, lmstudio
• HINDSIGHT_API_LLM_API_KEY: Your API key
• HINDSIGHT_API_LLM_MODEL: Model name (e.g., o3-mini, claude-sonnet-4-20250514)