Flow Memory v0.1.1

See CHANGELOG.md for details.

Installation

pip install flow-memory

Or with extras

pip install flow-memory[mcp]       # MCP server support
pip install flow-memory[vector]    # LanceDB vector search
pip install flow-memory[postgres]  # Postgres backend
pip install flow-memory[all]       # Everything

Flow Memory v0.1.0

🎉 Initial Alpha Release

Flow Memory is a SQLite/Postgres/file-backed memory system for AI agents, extracted from the EduFlow Team project.

Features

• 23 MCP tools — search, profile, sensitive data, packet assembly
• 3 storage backends — SQLite (default), Postgres, Markdown files
• LanceDB vector search — with hybrid FTS+Vector fusion
• V3 features — pin/decay/subject/dual_query/dashboard/AGENTS.md/reflect/skill_evolution
• Sensitive data encryption — AES-256-GCM with PBKDF2 + security question recovery
• Configurable policies — MemoryTaxonomy + PromotionPolicy abstractions
• i18n ready — English + Chinese templates

Installation

```bash
pip install flow-memory
pip install flow-memory[mcp] # + MCP server
pip install flow-memory[vector] # + LanceDB
pip install flow-memory[postgres] # + Postgres
pip install flow-memory[all] # everything
```

Migration from EduFlow

Existing EduFlow users: set `FLOW_MEMORY_DB=~/.eduflow/eduflow_memory.db` and continue using `eduflow.memory.*` imports via the backwards-compat shim. See migration guide.

Test Coverage

• 19 flow_memory unit tests (storage backends, policies)
• 514 EduFlow tests pass via the shim
• Total: ~533 tests passing

See CHANGELOG.md for details.