supermemory/packages/agent-framework-python/pyproject.toml
Dhravya 984297b62d
Add Supermemory integration for Microsoft Agent Framework (#775)
## Summary

This PR introduces comprehensive Supermemory integration for the Microsoft Agent Framework, providing three complementary approaches to add persistent memory capabilities to agents: middleware for automatic memory injection, context providers for session-based memory management, and tools for explicit memory operations.

## Key Changes

- **SupermemoryChatMiddleware**: Automatic memory injection middleware that fetches relevant memories from Supermemory before LLM calls and optionally saves conversations. Supports three modes:
  - `"profile"`: Injects all static and dynamic profile memories
  - `"query"`: Searches for memories relevant to the current user message
  - `"full"`: Combines both profile and query modes

- **SupermemoryContextProvider**: Idiomatic context provider following the Agent Framework pattern (similar to built-in Mem0 integration). Integrates with the session pipeline via `before_run()` and `after_run()` hooks for automatic memory retrieval and storage.

- **SupermemoryTools**: FunctionTool-compatible tools that agents can use for explicit memory operations:
  - `search_memories()`: Search for specific memories
  - `add_memory()`: Add new memories
  - `get_profile()`: Retrieve user profile

- **Utility Functions**: Helper functions for:
  - Memory deduplication across static, dynamic, and search result sources
  - Profile-to-markdown conversion for LLM consumption
  - Message extraction and conversation formatting
  - Logging with configurable verbosity

- **Exception Hierarchy**: Custom exceptions for better error handling:
  - `SupermemoryConfigurationError`: Missing/invalid configuration
  - `SupermemoryAPIError`: API request failures
  - `SupermemoryNetworkError`: Network connectivity issues
  - `SupermemoryMemoryOperationError`: Memory operation failures

- **Comprehensive Documentation**: README with quick start examples, configuration options, and API reference for all three integration approaches.

- **Test Suite**: Unit tests covering middleware, context provider, tools, and utility functions with proper mocking and error scenarios.

## Implementation Details

- Supports both async (aiohttp) and sync (requests) HTTP clients with automatic fallback
- Handles multiple message formats (dict, objects with attributes, content arrays)
- Configurable memory storage with optional conversation grouping via `conversation_id`
- Environment variable fallback for API key configuration (`SUPERMEMORY_API_KEY`)
- Background task management for non-blocking memory operations in middleware
- Proper async/sync compatibility for the Supermemory SDK

https://claude.ai/code/session_012idB5y6UGK3zmeFULgTc4z
2026-03-10 01:49:45 +00:00

80 lines
2.1 KiB
TOML

[build-system]
requires = ["hatchling"]
build-backend = "hatchling.build"
[project]
name = "supermemory-agent-framework"
version = "1.0.0"
description = "Memory tools and middleware for Microsoft Agent Framework with supermemory"
readme = "README.md"
license = "MIT"
license-files = ["LICENSE"]
keywords = ["agent-framework", "supermemory", "ai", "memory", "microsoft"]
classifiers = [
"Development Status :: 3 - Alpha",
"Intended Audience :: Developers",
"License :: OSI Approved :: MIT License",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Topic :: Software Development :: Libraries :: Python Modules",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
]
requires-python = ">=3.10"
dependencies = [
"agent-framework-core>=1.0.0rc3",
"supermemory>=3.1.0",
"typing-extensions>=4.0.0",
]
[dependency-groups]
dev = [
"black>=24.8.0",
"flake8>=7.1.2",
"isort>=5.13.2",
"mypy>=1.14.1",
"pytest>=8.3.5",
"pytest-asyncio>=0.24.0",
"python-dotenv>=1.0.1",
]
[project.urls]
Homepage = "https://supermemory.ai"
Repository = "https://github.com/supermemoryai/supermemory"
Documentation = "https://supermemory.ai/docs"
[tool.hatch.build]
include = ["src/*"]
[tool.hatch.build.targets.wheel]
packages = ["src/supermemory_agent_framework"]
[tool.isort]
profile = "black"
multi_line_output = 3
line_length = 88
[tool.mypy]
python_version = "3.10"
warn_return_any = true
warn_unused_configs = true
disallow_untyped_defs = true
disallow_incomplete_defs = true
check_untyped_defs = true
disallow_untyped_decorators = true
no_implicit_optional = true
warn_redundant_casts = true
warn_unused_ignores = true
warn_no_return = true
warn_unreachable = true
strict_equality = true
[tool.pytest.ini_options]
testpaths = ["tests"]
python_files = ["test_*.py", "*_test.py"]
python_classes = ["Test*"]
python_functions = ["test_*"]
addopts = "-v --tb=short"
asyncio_mode = "auto"