🧠 MultiMind SDK – Updated Roadmap (Q2–Q4 2025)

✅ Core Capabilities (Achieved)

• Unified API for LLM orchestration
• Basic support for OpenAI, Anthropic, Ollama, Hugging Face models
• Basic prompt management + simple chaining
• Lightweight local memory + LangChain adapter
• CLI + initial FastAPI integration

🚧 In Progress (Q2 2025)

• 🔄 Modular Agent Architecture
  • Role-based agents with task context, memory, and dynamic tool usage
  • Plug-and-play support for custom agent flows (e.g., sales, research, healthcare)
• 🧩 Extensible Tools Framework
  • Define, plug, and orchestrate custom tools via YAML/JSON or Python
• 🗃️ Advanced Memory Interfaces
  • Session, long-term, and external memory support (Redis, Chroma, Weaviate)
  • Context window management and retrieval policies
• 📦 LLM Function Chaining & Management
  • Declarative chaining of calls, intermediate reasoning, result aggregation
  • Configurable prompt templates and call strategies
• 🧠 End-to-End RAG Pipeline
  • Data ingestion from PDFs, web, APIs, markdown, databases
  • Vector and hybrid indexing (FAISS, Qdrant, Neo4j, KG)
  • Query rewriting + smart reranking (e.g., ColBERT, cross-encoder)

🔜 Upcoming (Q3 2025)

• ⚙️ Multi-Stage QA Pipelines
  • Chunking, retrieval, reranking, answer synthesis, citation mapping
  • Full evaluation harness for benchmarking (EM, BLEU, ROUGE, human eval)
• 🤖 Autonomous Multi-Agent Systems
  • Agents coordinating in task-driven environments (via MCP)
  • Shared memory + communication protocols (ReAct/A2A patterns)
• 🔐 Secure Data Operations
  • Role-based access, encrypted memory, GDPR-ready ingestion
• 📊 Developer & Evaluation Dashboard
  • Visual flow editor for agent/task logic
  • Logs, eval metrics, API latency insights