For AI agents: complete documentation index at /llms.txt. Full text at /llms-full.txt. Markdown version of any page available by appending .md to its URL.
Added image and document content extraction, with support for custom prompts to adjust extraction rules.
v2.0.31
Open Source
Improvements
Open Source:
Added request headers for Qwen model calls to better handle sudden rate limiting
v2.0.30
MemOS Cloud
New Features
Cloud service:
Added an interface to support customizing the extraction prompt for each memory view through the custom_extract_prompt parameter.
Improvements
Cloud service:
Implemented independent asynchronous logging for each worker.
Open Source
Bug Fixes
Open Source:
Fixed vLLM streaming responses retaining only the final chunk, which caused truncated answers and errors on empty streams.
Fixed UniversalAPIEmbedder ignoring embedding_dims, enabling requested vector dimensions and automatic fallback for services that do not support the parameter.
Added enable_thinking control for OpenAI-compatible and Azure models to prevent reasoning content from corrupting structured outputs such as JSON.
v2.0.29
MemOS Cloud
Improvements
Cloud Playground:
Optimized the Dashboard memory-list deletion flow to improve locating and deleting target memories
v2.0.28
MemOS Cloud
Improvements
Cloud service:
Resolved low efficiency and high costs caused by missing routing information when deleting memories.
Open Source
Improvements
Open Source:
Improved MemOS documentation extraction, adjusted return mode and truncation character count.
v2.0.25
MemOS Cloud
Bug Fixes
Event Memory:
Fixed overlong model inputs caused by Event Memory content not being truncated
Open Source
Improvements
MMR optimization:
Optimized MMR by pruning candidates and reducing similarity-matrix computation latency
Bug Fixes
Feedback model parsing:
Fixed model parsing failures in feedback processing
Model configuration:
Unified and simplified model-related configuration options
Embedder logs:
Fixed embedder logging issues
SDK get_task_status:
Fixed SDK get_task_status() parsing for legacy task-status responses
v2.0.24
MemOS Cloud
New Features
Cloud service:
Property Tree
Event Memory
Multi-view
Property Tree:
Supports template management, instance binding, field editing, and instance deletion
Event Memory:
Supports event extraction, retrieval, display, update, and deletion
Event Memory extraction configuration:
Added Event Memory extraction configuration with prompt editing, AI optimization, restore defaults, and debug runs
Agent multi-view:
Added Agent multi-view support for independent memory generation, update, and recall by user and Agent
Improvements
Memory list:
Added Property Tree and Event Memory display
Cloud Playground:
Updated core memory APIs for multi-view and supports scoping generation and retrieval by memory view
Memory retrieval supports mixed multi-view results, unified reranking, and related_id range filtering
Supports multi-user and multi-Agent conversations
Optimized querying memory-change results for async tasks
Call logs:
Added user and Agent information, and adapted change records for Property Tree and Event Memory
Bug Fixes
Cloud Playground:
Fixed inaccurate related project IDs returned by knowledge-base details
Fixed messages imported through the OpenMem API being incorrectly written into local chat history
v2.0.23
MemOS Cloud
Improvements
Preference memory model invocation:
Made preference-memory model calls compatible with Qwen3 hybrid-thinking models and disabled thinking by default
Added a dedicated model configuration for L3 abstraction
Improvements
OpenClaw local plugin:
Optimized the plugin startup and registration flow
Routed embedding inputs by usage
Reduced unnecessary background evolution calls in lightweight memory mode
Added Chinese README and usage documentation
Bug Fixes
OpenClaw local plugin:
Fixed CPU spikes caused by vector scans in large-data scenarios
Fixed recovery when SQLite native binding versions mismatch
Fixed stability issues around Hermes provider links, OpenAI-compatible endpoint probing, FTS query escaping, and plugin entry publishing
v2.0.22
MemOS Cloud
New Features
Preference memory extraction:
Supports independent model configuration
Bug Fixes
Preference memory extraction:
Tightened the preference memory prompt to fix over-extraction issues
Improved preference memory post-processing
Chat API compatibility:
Added string input support for the Chat API content field
Plugin
Bug Fixes
OpenClaw local plugin:
Fixed stability, recall accuracy, bridge process leaks, configuration compatibility, and local memory write issues in the OpenClaw local plugin flow
Added preference memory and automatic recall capabilities
v2.0.21
MemOS Cloud
Improvements
search context_format update:
Renamed the heuristic_routing mode in context_format to mixed, with behavior unchanged
v2.0.20
MemOS Cloud
Improvements
search context_format support:
memory: returns the extracted memory text with a shorter context, and is used by default
sources: returns the original sources corresponding to the memory, better suited for questions that need original details, time, quantities, or order
heuristic_routing: automatically selects memory or sources based on the query, preserving the benefits of the original text where possible while keeping the context length under control
Scheduler optimization:
Adjusted scheduler concurrency limits to avoid CPU, thread, and PolarDB contention from background jobs
Adjusted queue polling intervals to reduce idle polling and CPU usage
Added log and queue switches to reduce log writes on high-frequency search APIs
v2.0.19
MemOS Cloud
New Features
MemOS Cloud CLI Enhancements:
Added MemOS Cloud knowledge base APIs with support for up to 12 Agents
Improvements
Dashboard Experience:
Improved quick start display logic
Added one-click integration prompts
Documentation
Improvements
Documentation:
Added a conversational guide for integrating MemOS Cloud into Agents
Plugin
Improvements
Local Plugin:
Optimized the local plugin algorithm for domain-aware task handling and prompt injection
v2.0.17
MemOS Cloud
New Features
Dream Core Release:
Dream context nodes after fine-mode add
Context binding and summarization in Dream phase
Search can recall context nodes with a toggle
Dream diary fixes and context content
Dream registered in plugins with pipeline fixes
Time-sensitive Memory:
Batched LLM write-back for time-related information to reduce LLM calls
Bug Fixes
Skill Generation:
Skills now require at least 5 rounds of tool-call history before generation
Fixed scheduler task loss and Redis serialization issues
v2.0.16
MemOS Cloud
Improvements
Keyword Search Token Selection:
Dynamically adjusts token count during keyword search
Search-side Memory Version:
Added search-side memory version switch
Removed low-impact sidecar recall that hurt search performance
PolarDB Storage Optimization:
Horizontally partitioned user memory data with dual-write and read-switchover migration for hundred-million scale performance
Bug Fixes
Memory Version Fixes:
Fixed duplicate version updates from a single add
Fixed unit test issues
Documentation
Improvements
Documentation Updates:
Added open-source docs under docs/ and examples/README.md
OpenClaw Plugin docs improvements
Added CONTRIBUTING.md with contributor guidelines
Open Source
Improvements
Test Scripts:
Added tests/mem_feedback and tests/reranker
v2.0.15
MemOS Cloud
New Features
Time-sensitive Memory Version:
Extracts timespec and memory_form on write; time-aware version selection and rerank on search
Skill Upload:
Users can upload skills via the add API and retrieve them via search
Improvements
Keyword Search:
jieba extract_tags for Chinese queries (max 12 tokens)
Tokenizer/regex tokenization for English (max 12)
Mandatory user_name validation to prevent cross-user scans
Open Source
New Features
Skill Upload Support:
Build skill memories from downloadable skill links with retrieval support
v2.0.14
MemOS Cloud
Bug Fixes
Memory Version:
Fixed memory version applying across chunks from the same source text
Open Source
New Features
Plugin Framework:
Introduced a lightweight plugin framework with @hookable hooks and entry_points discovery
Improvements
Scheduler Optimization:
Cache caps, lock splitting, refill race fixes, stream cleanup, and Redis calls moved outside locks
Bug Fixes
PolarDB & MemReader:
Fixed PolarDB metadata nesting bug
Fixed memreader chunking bug
LLM JSON Parsing:
Fixed LLM JSON output parsing issue (#1526)
v2.0.13
MemOS Cloud
Improvements
Service Optimization:
Scheduling log level tuning
Structured queue logs
Key-path observability for submit -> dequeue -> dispatch
v2.0.12
MemOS Cloud
Improvements
Service Optimization:
Configurable minimum thread pool size
LLM-based memory version routing with improved skip recall
v2.0.11
Open Source
New Features
LLM & Search:
MiniMax LLM (#1291)
Health check API (#1248)
delete_memory filters (#1104)
Tavily search (#1357)
Dockerfile & Helm chart (#1293)
Improvements
Scheduler & API:
Thread pool and PolarDB optimizations
Better API validation errors
Consolidated APIs into server_api (#1344)
Bug Fixes
Database & Memory:
Neo4j pre-filter fix (#1359)
Nested metadata write fix (#1178)
Feedback archival fix (#1243)
MCP & API:
MCP add_memory format fix (#1275)
get_further_suggestion string input fix (#1218)
v2.0.10
MemOS Cloud
Improvements
PolarDB & MemReader:
PolarDB multi-filter query optimization
MemReader updated to 0.6B model with lower latency
Memory Version Service:
Memory version pluginization
NLI high availability
MemReader routing for memory version plugin
Scheduler:
Scheduler improvements for better memory usage
v2.0.9
MemOS Cloud
Improvements
Memory Version:
Feedback-compatible memory version
Improved independent-fact recovery during conflict resolution
Bug Fixes
Memory Version & Feedback:
Parameter validation and timestamp fixes
Fixed empty sources during feedback
v2.0.8
MemOS Cloud
New Features
Memory Version:
Automatic conflict/duplicate detection, merge, and archive on add (enabled in this release)
Improvements
Preference Memory Migration:
Preference memories migrated to the graph database
Memory Version Async:
Memory version fully async without impacting addMessage latency
Memory Search:
Reduced redundant get_by_metadata calls during search
Bug Fixes
Add & Search Fixes:
Fast-mode embedding fix for MultiModalStruct
Image memory parsing fix
Concurrent add merge ordering fix
Open Source
Improvements
Performance:
Full-text warmup
Semaphore-based concurrency limiting
Database log trimming
v2.0.7
MemOS Cloud
New Features
Memory Version:
Automatic conflict/duplicate detection, merge, and archive on add
Improvements
Relativity Defaults:
Default relativity threshold set to 0.45 for search and chat
Logging:
Adjusted log levels and suppressed noisy errors
Bug Fixes
Preference Embedding:
Fixed preference embedding recomputation to only process missing entries
v2.0.6
MemOS Cloud
New Features
Keyword Search:
Added keyword recall path while keeping embedding-based relativity
Chat Relativity:
Chat API accepts relativity to control retrieval threshold
Bug Fixes
API & Model Fixes:
Preference threshold field fix
get_memory filter logic fix
LLM extra_body / enable_thinking compatibility
Open Source
New Features
Multi-perspective Memory:
Each agent memory cube can maintain its own subjective perspective
Multi-perspective Demo:
Ao Tai Line hiking mini-game demo
v2.0.5
MemOS Cloud
New Features
Search Relativity:
Added relativity field (0~1) to filter recalled memories by relevance score
Improvements
Skills:
Local skill document storage with URLs
Richer skill generation from user history
Playground
Bug Fixes
Playground:
Fixed known UX issues and improved environment stability
Plugin
New Features
MindDock Cloud Skills:
Skill page entry in plugin UI
Real-time Skill prompt injection across chatbots
MCP
New Features
MCP Memory Deletion:
Delete intent triggers both deleteMemory and addFeedback
Open Source
New Features
Knowledge Base Search:
Dual-track raw text + memory retrieval
Context neighbor recall for long documents
Improvements
Search Pipeline Refactor:
Search -> Enhance -> Rerank -> Filter pipeline
Modular schedulers with Redis Streams fixes
v2.0.4
MemOS Cloud
New Features
Skill Memory:
Extract skill memories from conversation history with downloadable skill files
chat/completions:
OpenAI-compatible chat/completions endpoint for no-code platforms
Bug Fixes
Cloud Stability:
Fixed occasional add-memory stalls
Improved graph database efficiency
Playground
Bug Fixes
Playground:
Fixed system-busy error in Playground chat
Open Source
New Features
Conflict / Duplicate Detection:
Related-memory recall and NLI-based conflict detection on add
Improvements
Search Deduplication:
Reduced duplicate fact and preference recalls
v2.0.3
MemOS Cloud
Improvements
Multimodal Memory:
Image parsing now uses conversational context for better memory extraction
Knowledge Base:
JSON / Markdown / XML file support
knowledgebase_ids: all for cross-project retrieval
Bug Fixes
search/memory:
Fixed failures when search input text is too long
Documentation
New Features
Open Source Docs:
Documentation fixes and tips
Server router startup examples
API docs published on Apifox
v2.0.2
MemOS Cloud
Improvements
Knowledge Base Recall:
Better fine-grained document detail recall
Tool Memory:
Procedural tool-call experience
Tool schema compression (>50% token reduction)
Fact Memory Merge:
Merge and archive mechanism to reduce duplicate writes/recalls
get/memory:
Tool memory in responses
Filter-based memory listing for debugging
Bug Fixes
get/memory:
Fixed error when include_preference=False
Documentation
New Features
Knowledge QA Assistant Guide:
Added best-practice tutorial for building a MemOS knowledge-base assistant
v2.0.1
MemOS Cloud
New Features
Get Memory API:
List all user memories with pagination
Chat on Cloud:
Chat API with memory-aware replies
Improvements
Delete Memory API:
Delete any memory type without specifying user
Preference Feedback:
Feedback API now updates preference memories
Playground
New Features
Memory Deletion:
Manual memory deletion in Playground memory management
Open Source
Improvements
Search Dedup:
Optional dedup parameter (no/sim) for semantic deduplication
Bug Fixes
Scheduler & KV Cache:
Local scheduler without Redis config fix
KV cache compatibility fix
v2.0.0
MemOS Cloud
New Features
Knowledge Base:
Multi-dimensional knowledge bases from documents or URLs
Share knowledge bases across projects
Feedback & Deletion:
add_feedback for natural-language memory edits
Cloud delete memory API by memory id
Multimodal & Tool Memory:
Image message memory
Tool call trajectory memory
Document and URL parsing via MemReader
Improvements
Database Upgrade:
Connection management and batch insert improvements
Custom tag/info filters on Search
Scheduler Upgrade:
Redis Streams multi-queue fair scheduling
Pending task auto-recovery
MCP
New Features
MCP Delete & Feedback:
MCP supports delete_memory and add_feedback
Open Source
New Features
Chat API:
Streaming and non-streaming Chat APIs
Improvements
Lightweight Deployment:
Fast and full deployment modes
Bug Fixes
Scheduler Tasks:
Legacy scheduler compatibility fix
Memory update task logging fix
v1.1.3
New Features
Memory Add & Search:
Added async mode (plaintext & preference)
Preference Memory now supported
Reranker strategy suite
BM25 for TreeTextMemory
Scheduler:
Modularized API scheduler
Redis ORM optimized for history sync & hybrid search