1. Fix "all environment values must be bytes or str" error in hook execution
by ensuring all env values are converted to str (getattr may return None
when attribute exists but is None). Also sanitize shell_env values.
2. Increase MEM0_POOL_SIZE default from 20 to 50 to address "connection pool
exhausted" errors under high concurrency.
Fixes: sparticleinc/felo-mygpt#2519
Co-authored-by: zhuchao <zhuchaowe@163.com>
Co-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Mem0's get_all() returns data in format {"results": [...]}, not a direct list.
Also, agent_id is at the top level of each memory, not in metadata.
Changes:
- Add _extract_memories_from_response() to handle both new and old response formats
- Add _check_agent_id_match() to check agent_id at both top-level and in metadata
- Update get_all_memories, delete_memory, delete_all_memories to use new helpers
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Mem0's get_all() method may return a list containing either strings
(older version format) or dictionaries (newer version format). This
fix adds proper type checking to handle both cases gracefully.
- get_all_memories: Skip string items, only process dict items
- delete_memory: Add type checking before accessing dict methods
- delete_all_memories: Add type checking before accessing dict methods
Fixes: 'str' object has no attribute 'get' error
Co-authored-by: zhuchao <zhuchaowe@163.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
- Replace ShellMiddleware with LocalShellBackend
- Update AgentMemoryMiddleware to MemoryMiddleware with new signature
- Update CustomSkillsMiddleware to use new SkillsMiddleware signature
- Add LocalContextMiddleware for local context
- Update CompositeBackend to use routing
- Update dependencies: langgraph-checkpoint-postgres to 3.0.4
Breaking Changes:
- agent/deep_assistant.py: Major refactoring to adapt to new deepagents API
- pyproject.toml: Version bump
- deepagents: 0.2.8 -> 0.4.3
- deepagents-cli: 0.0.11 -> 0.0.25
- langgraph-checkpoint-postgres: 2.0.25 -> 3.0.4 (for compatibility with langgraph-checkpoint 3.x)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
* chore: add .worktrees/ to .gitignore
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
* feat(memory): add memory management API endpoints
Add new /api/v1/memory endpoints for viewing and managing user memories:
- GET /api/v1/memory - list all memories for a bot
- DELETE /api/v1/memory/{memory_id} - delete single memory
- DELETE /api/v1/memory - delete all memories for a bot
Also add delete_memory and delete_all_memories methods to Mem0Manager.
Issue: #1844
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
---------
Co-authored-by: zhuchao <zhuchaowe@163.com>
Co-authored-by: Claude Opus 4.6 <noreply@anthropic.com>
Add db_url property to MemoriManager that falls back to
CHECKPOINT_DB_URL setting, and pass it explicitly from
fastapi_app.py to ensure Memori can create sync connections.
This fixes the error "Either db_pool or db_url must be provided"
when recalling memories.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
Move init_global_memori from deep_assistant.py to fastapi_app.py
lifespan function for proper application-level initialization.
This ensures Memori is initialized once at startup and closed at
shutdown, rather than checking and potentially initializing on every
agent creation.
Changes:
- fastapi_app.py: Add Memori init/close in lifespan
- deep_assistant.py: Simplify to only get memori_manager
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Remove __debug__ conditional that exposed tracebacks in production
- Simplify error response structure to {"error": str(e)}
- Remove redundant exception handling in init_agent()
- Remove unnecessary traceback logging
- Reduce code from ~30 lines to ~10 lines
Fixes security vulnerability where __debug__ is always True
unless Python runs with -O flag, causing full tracebacks
to be sent to clients in production.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Enhance exception handling in agent_task() to capture and send structured error messages via SSE stream
- Add [DONE] marker to outer exception handler to ensure proper stream termination
- Improve MCP tool loading error handling in init_agent() to prevent cascading failures
- Add detailed error logging with traceback for debugging
Fixes RemoteProtocolError that occurred when MCP tool calls failed,
which previously caused incomplete chunked read errors and connection drops.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude <noreply@anthropic.com>
- Change workspace_root from ~/.deepagents/{bot_id} to projects/robot/{bot_id}
- Refactor CustomSkillsMiddleware to support user and project skills separately
- Update skill path formatting for better visibility in system prompts
- Remove unused symlink_utils module and related setup code
- Clean up imports in fastapi_app.py and utils/__init__.py
Override AgentMemoryMiddleware to simplify agent directory display.
The CustomAgentMemoryMiddleware shows "." instead of full path.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add CustomSkillsMiddleware to show ./skills instead of full paths
- Enable virtual_mode for FilesystemBackend in local mode
- Display "." instead of ~/.deepagents/{bot_id} in system prompt
- Remove backend_host and masterkey from robot project config
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
- Add create_custom_cli_agent function to support custom workspace_root
- Set shell workspace to ~/.deepagents/{bot_id} for deep_agent type
- Pass system_prompt to create_custom_cli_agent for proper context
- Fix duplicate <env> tag in system_prompt_deep_agent.md
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
Set enable_shell=False to disable shell command execution capabilities
in the deep agent for security reasons.
🤖 Generated with [Claude Code](https://claude.com/claude-code)
Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
