bump mem0ai plugin to version 0.2.7

[beersoccer]

Plugin Submission Form

1. Metadata

• Plugin Author:
• Plugin Name:
• Repository URL:

2. Submission Type

• New plugin submission
• Version update for existing plugin

3. Description

4. Checklist

• I have read and followed the Publish to Dify Marketplace guidelines
• I have read and comply with the Plugin Developer Agreement
• I confirm my plugin works properly on both Dify Community Edition and Cloud Version
• I confirm my plugin has been thoroughly tested for completeness and functionality
• My plugin brings new value to Dify

5. Documentation Checklist

Please confirm that your plugin README includes all necessary information:

• Step-by-step setup instructions
• Detailed usage instructions
• All required APIs and credentials are clearly listed
• Connection requirements and configuration details
• Link to the repository for the plugin source code

6. Privacy Protection Information

Based on Dify Plugin Privacy Protection Guidelines:

Data Collection

Privacy Policy

• I confirm that I have prepared and included a privacy policy in my plugin package based on the Plugin Privacy Protection Guidelines

[beersoccer]

Plugin Submission Form

Last updated: 2026-02-08

1. Metadata

• Plugin Author: beersoccer

• Plugin Name: mem0ai

• Repository URL: https://github.com/beersoccer/mem0_dify_plugin

2. Submission Type

• New plugin submission

• Version update for existing plugin

3. Description

This version update (v0.2.7) focuses on checkpoint windowing, resume accuracy, and consistent checkpoint updates to prevent duplicate or missed processing. The plugin integrates Mem0 AI's intelligent memory layer into Dify, providing comprehensive memory management capabilities for AI applications. The plugin operates exclusively in self-hosted mode, allowing users to configure and manage their own LLM, embedding models, vector databases, graph databases, and rerankers.

What's New in v0.2.7:

• Windowed checkpoint scanning: Conversations are processed only within [start_time, run_at] to avoid missing updates
• Resume cursor accuracy: Resume cursors are only set when additional pages exist, preventing false caps
• Consistent checkpoint updates: Normalized message timestamps and unified checkpoint updates reduce reprocessing

Previous Updates in v0.2.6:

• Resume-safe extraction at conversation caps: Checkpoints store resume cursors and defer task success to prevent silent skips on capped runs
• Richer task status visibility: check_extraction_status reports time range, duration, and processed vs scanned counters with local-time timestamps
• Cleaner extraction writes: Extraction writes pass agent_id=app_id and tag memory_origin for implicit memories

Previous Updates in v0.2.5:

• 🧩 LLM Compatibility Shim (2026-02-04): Added _parse_response compatibility patch for structured LLM providers to reduce parsing errors; keepalive now uses provider-agnostic generate_response() without strict args for broader model compatibility
• 🧠 Sync Subtype Client Reuse: Subtype clients accept config overrides to avoid manual Memory swapping; pool-sharing logic improves resource isolation while keeping prompts per subtype
• 🧪 Test & Tooling Stability: DifyClient enforces /v1 base URL format; integration tests normalize base URLs; cleanup script supports DIFY_USER_IDS and ensures client resources are closed

For full historical details, see CHANGELOG.md.

All API keys and credentials are stored locally in the user's Dify instance configuration and are not shared with any third parties. The plugin only communicates with services configured by the user (their LLM, embedding, and database services).

Privacy Policy

• I confirm that I have prepared and included a privacy policy in my plugin package based on the Plugin Privacy Protection Guidelines

Privacy Policy Location: PRIVACY.md is included in the plugin package and clearly explains:

• Self-hosted mode operation and data storage
• Information processed by the plugin
• User's complete control over data
• No third-party data sharing
• User's responsibility for data security and compliance

[crazywoola]

LGTM