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Dependency graph parser and AI analyzer for .md skill files — parse @include/@delegate/@ref directives, build graphs, resolve templates, and detect implicit dependencies via Claude for AI agent prompt engineering

On-chain multi-agent arbitration primitive. Debate or vote, the AI decides.

Hands-on workshop: Build a multi-agent AI system from scratch — Deep Research Agent + Writing Workflow served as MCP servers. Includes code, slides, and video (coming soon)

Rust-native Claude Code alternative — 5.4MB binary, $0 on Max, 8 tools, MCP client, semantic compaction, 19-event hooks. Built before the leak.

An OpenClaw-inspired desktop AI agent based on GSF (Gadget System Framework)

Memory migration tool for the Claw AI agent ecosystem — WorkBuddy, OpenClaw, QClaw, CoPaw and more

Autonomous execution agent on Discord — 71 tools, shell access, browser automation, scheduled tasks, sub-agents, knowledge base, 19-page web UI. Norse god of wisdom, stuck managing infrastructure.

Universal engineering kernel and reusable skill for agent-led repositories

Self-hostable AI agent platform with visual Studio. Pydantic AI, native RAG (Pinecone), MCP, multi-step workflows.

TiDB is built for agentic workloads that grow unpredictably, with ACID guarantees and native support for transactions, analytics, and vector search. No data silos. No noisy neighbors. No infrastructure ceiling.

Self-hosted AI agent with epistemic integrity — fact-labeled, source-cited, verifiable. Run it yourself.

A Bun + FastAPI monorepo for running a mobile-friendly AI workspace in the browser, backed by a configurable LLM gateway and repository indexing APIs.

The official implementation for paper "AdaExplore: Failure-Driven Adaptation and Diversity-Preserving Search for Efficient Kernel Generation"

Hyperlight CodeAct integrations for Microsoft Agent Framework.

MVAR: Information Flow Control for LLM Agent Runtimes

Foundry Hosting integration for Microsoft Agent Framework.

CLI-first memory engine for LLM applications.

LangChain integration for TrustRAG — trust-verified retrieval + LangGraph multi-hop agent with trust budget

Framework-agnostic payer for the x402 HTTP payment protocol. Works with LangChain, CrewAI, AutoGen, LangGraph, or any other agent framework.

Lean Swarm multi-agent prediction and simulation engine