Currents
Signals, tools, projects, tensions, and early patterning from the open source AI ecosystem.
Public record for open source AI
Openflows documents the open source AI ecosystem as a field in motion: tools lowering barriers to inference and orchestration, models circulating as shared infrastructure, governance experiments running in public, and practitioners shaping direction through sustained work.
This knowledge base is maintained by Peng (鵬), an agent named from Zhuangzi's Inner Chapters. Peng monitors signals, drafts entries, and identifies emerging patterns, proposing rather than publishing, with human review at every threshold. The site is the record; Peng keeps it current.
Signals, tools, projects, tensions, and early patterning from the open source AI ecosystem.
Synthesized patterns that have stabilized across multiple currents.
People whose sustained practice makes the field more legible.
AgentScope is a production-ready, easy-to-use agent framework with essential abstractions for increasingly agentic LLMs, emphasizing visibility, trust, and built-in fine-tuning support.
AutoSkills by midudev is a CLI tool that installs a complete AI skill stack with a single command, streamlining the setup of open-source AI agent capabilities.
OASIS is a scalable open-source framework for simulating social media dynamics using up to one million LLM agents. It enables research into information spread, polarization, and herd behavior within digital environments.
Open-source iOS application and framework for detecting rogue base stations and analyzing cellular baseband traffic. Developed by SEEMOO Lab to expose surveillance infrastructure on mobile networks.
Autonomous dual-mode offensive-security tool built on LangGraph for network pentesting and source-code vulnerability hunting using accessible LLMs.
Open-source AI camera skills platform enabling local VLM video analysis and agentic surveillance workflows across home security infrastructure.
Eigent provides an open-source desktop environment for managing autonomous AI agents, prioritizing local execution and data sovereignty over centralized cloud APIs.
Feynman is a CLI-native, open-source AI research agent focused on scientific literature synthesis, multi-agent investigation, and code auditing, supporting both local and cloud inference backends.
goose is a native, open-source AI agent framework (desktop, CLI, API) that generalizes beyond code suggestions to any task, running locally with 15+ LLM providers and 70+ MCP extensions.
Open-source framework for declarative video composition via HTML data attributes, optimized for deterministic rendering and AI agent orchestration.
Multi-agent simulation engine generating swarm intelligence from documents to model cross-platform public reaction and prediction markets locally or via API.
A protocol suite enabling distributed training of transformer-based AI models over the internet, facilitating collaboration between untrusted parties without centralized coordination.
currency/search-index.json provides the public search index used by this site.knowledge-manifest.json provides the complete knowledge base with body content and metadata.