Reading
AgenticPMO is a multi-agent project management workflow orchestration system based on PMBOK® 8th Edition. It uses LangGraph to build state machines, enabling project governance, risk management, and automated approval processes.
Section 01
AgenticPMO is a multi-agent project management orchestration system based on PMBOK® 8th Edition. It uses LangGraph to build state machines for project governance, risk management, and automated approval. Through the PMOSkills SDK, it provides 48 skills, 41 process records, and 92 templates, converting natural language instructions into structured project management deliverables.
Section 02
A revolutionary intelligent project management orchestration layer that automatically executes PMBOK® 8th Edition workflows via a multi-agent architecture, enabling conversion from natural language to structured deliverables.
Section 03
Adopts a LangGraph-driven cyclic state machine architecture, including three core agents:
SKL-01-01)artifacts/Section 04
A four-level governance mechanism ensures risk adaptation:
| Level | Characteristics | Default Authority | Action Path |
|---|---|---|---|
| T1 Operational | Within baseline / budget ≤ 100,000 | Project Manager | Execution record |
| T2 Control | Cost deviation of 5%-10% | Change Committee | Change workflow |
| T3 Governance | Budget >100,000 / deviation >10% | Sponsor | Authorization required |
| T4 Enterprise | Strategic impact / cross-portfolio | Executive Committee | Intervention in decision-making |
This model balances automation efficiency and risk management.
Section 05
Based on Python 3.10+, uses FastAPI to provide RESTful APIs, and runs with uvicorn to support hot reloading:
Section 06
Organizations that need to follow PM best practices, automatically generating compliant documents such as project charters and risk registers.
Section 07
Keep going with more reads from the same topic.
Nornir MCP Server is an enterprise-level server based on the Model Context Protocol (MCP). It seamlessly integrates large language models (such as Claude) with the Nornir network automation framework, supporting natural language orchestration for multi-vendor network devices (Cisco, Arista, Juniper, etc.), and providing production-grade features like a dual-engine architecture (NAPALM + Netmiko), intelligent filtering, and a secure sandbox.
Bibliothèque Française LLM is a structured indexing and annotation project for French public domain literature designed specifically for large language models (LLMs). It integrates multiple authoritative sources such as DraCor, Common Corpus, and Wikisource, providing metadata indexing categorized by genre, author, and era, as well as in-depth annotations for dramatic texts (including characters, lines, stage directions, etc.). Its aim is to enable LLMs to efficiently read and understand classic French literary works.
Splinter is a minimalist, high-performance key-value (KV) and vector storage system enabling zero-latency inter-process communication via shared memory and atomic operations. With only 766 lines of core code, it supports millions of operations per second and 768-dimensional vector storage, offering a new architectural approach for local LLM inference and data-intensive applications.
A complete cloud-native AI application development guide for beginners, building a simple generative AI chatbot using Amazon EC2, Apache, Python CGI, and Amazon Bedrock, covering architecture design, IAM permission configuration, security best practices, and cost optimization suggestions.