Agents
2,269Autonomous AI agents that perform tasks independently
The Agentic Reserve System (ARS) is not a traditional institution but a self-regulating monetary protocol, the macro layer of the Internet Capital Market (ICM) for the Internet of Agent era (IoA) where every agents create neural centric ecosystem onchain based.
A modern, full-stack AI coding and task assistant leveraging local LLMs, a robust React, TypeScript, PostgreSQL stack, and a highly extensible component system.
AOSI provides a layered reference model for AI, LLMs, and autonomous agents, describing the technical functions required for AI systems to operate reliably, interoperably, and end-to-end
Temporal reasoning for AI agents — deadlines, schedules, sequences, duration estimation (PERT), and decay models. One .atime file. Rust core + MCP server.
Cryptographic agent identity with Ed25519 anchors, signed action receipts, and scoped trust delegation. One .aid file. Any agent. Any LLM.
Use for learning LangGraph, LangGraph is a LangChain library designed to create agent and LLM workflows based on graphs, rather than linear chains.
A production-ready Agentic Procurement App built with Google ADK (Agent Development Kit) and Python. Features autonomous agents, HITL workflows, and MCP integration with custom UI. The ultimate ADK Python blueprint for enterprise AI.
Contract-first Codex dev workflow for OpenClaw: Plan → Run → Verify → Fix (auditable artifacts)
Intent compilation and uncertainty detection for AI agents — truth verification, ambiguity resolution, causal reasoning. Rust core + MCP server.
npx agent-loadout — one command to bootstrap your terminal for agentic coding. 50 CLI tools with companion Skills to inform your agents.
Sync config, rules, workflows, skills and templates across agentic coding tools
AI agents and Agentic AI projects - ReAct agents , Reflection Agents(Generator + Reflector) etc.
This repository represents the transition from behavioral safety to Neural Forensics. It provides the infrastructure to detect, audit, and mitigate high-order AI risks—such as Latent Deception, Sycophancy-Masking, and Synthetic Intimacy—directly at the mechanistic activation layer.
A Compute-Agnostic, WebSocket-first protocol for AI Agents. The high-performance alternative to MCP. Runs on Serverless or stateful servers with sub-30ms latency.
Streaming validation engine for AI agents — real-time code validation during generation, shadow execution, protection layers. Rust core + MCP server.
Automate binary analysis by coordinating LLM agents with Ghidra, enabling scalable and precise reverse engineering workflows.
Turn natural language into executable code — right in your browser. Lightweight AI chat powered by GPT-4o with sandboxed JavaScript execution.