valuecell
MCPApache-2.0
Community-driven multi-agent platform for financial applications with AI agents for stock selection, research, and tradi
11k·AI Agents·Open source
MemOS
MCPOpen sourceSelf-evolving memory OS for LLM & AI agents with hybrid retrieval, multi-modal memory, and 35% token savings.
11kApache-2.0
Self-evolving memory OS for LLM & AI Agents: ultra-persistent memory, hybrid-retrieval, and cross-task skill reuse, with 35.24% token savings and DeepSeek Harness support.
Pros
- +Unified memory API with graph-structured, inspectable memory
- +Multi-modal memory supporting text, images, tool traces, and personas
- +Hybrid retrieval (FTS5 + vector) for accurate recall
- +Asynchronous ingestion with millisecond latency for production use
Cons
- −Requires integration with agent frameworks like OpenClaw or Hermes
- −May have a learning curve for configuring memory cubes and policies
- −Cloud plugin may incur costs; local plugin requires self-hosting
Target audience: Developers building AI agents or assistants that need persistent, context-aware memory with cross-task skill reuse.
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