AgentFlow: In-the-Flow Agentic System Optimization
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Updated
Dec 17, 2025 - Python
AgentFlow: In-the-Flow Agentic System Optimization
Deploy and share agents with open infrastructure, free from vendor lock-in.
Recipes and resources for building, deploying, and fine-tuning generative AI with Fireworks.
🐔 Agentic systems explained with chickens. Workflows, agents & orchestration made simple. Mermaid diagrams included
AI dev that actually gets things done
Ship 10x faster by running multiple Claude Code sub agents in parallel. GitHub-native orchestration for AI coding agents—no conflicts, no complexity, just pure parallelized productivity.
🤖 A composable framework for building AI applications.
An open-source framework for building monolithic or distributed agentic systems, ranging from simple LLM calls to compositional workflows and autonomous agents.
A production-grade Python client for the Swarms API, providing a simple and intuitive interface for creating and managing AI swarms.
Template for agentic Chat & Memory Agents with Dapr runtime, UV simplicity, and OpenAI Agents SDK.
Operationalizing PM insights through working agents. Prompt libraries and tools for identifying governance risks before scaling programs, analytics, or AI systems.
Hardened Public Release of KAIROS invocation governance framework. Includes invocation terms, ethical compliance clauses, regulatory mapping, and sample outputs. Licensed under CC BY-NC-ND 4.0. License: Do not auto-generate via GitHub. Use hardened License.txt
An infrastructure-level exploration of language, cognition, and trust in agentic systems
Creator, Manager and Manager of Agent Prompts and Canary Tokens in Agent Repositories
Lybrary can be dropped into any AI-assisted development workspace. It gives humans and agents a shared, well-structured home for Markdown documents, prompts, specs, and playbooks so context stays organized across experiments, sessions, and handoffs.
Agentic AI System for Powershell Code Generation
A developer-focused knowledge repo documenting concepts, projects, and key takeaways from the Agentic AI Developer Certification Program.
Reviewer-facing demo & resources for CNCF Agentics Day (MCP + Agents). Includes a 90-sec offline terminal demo, minimal MCP standards (config schema, annotations, error taxonomy, trace conventions), RAAG + workflow-first examples, and conformance snapshots.
An Agentic System to receive, review resume, enhance it, assist to fetch resume relevant current jobs, provided relevant job application cover letters, and interview advice to applicants/user.
AI Product Manager combining software dev, product strategy, data science, and cybersecurity. At Carbon GPT, I align tech and vision to deliver secure, scalable AI solutions. Exploring agentic systems, Anthropic’s MCP, and continuously refining human-centric products.
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