Autonomous AI agents that perform tasks independently
agentralabs
Temporal reasoning for AI agents — deadlines, schedules, sequences, duration estimation (PERT), and decay models. One .atime file. Rust core + MCP server.
...moreagentralabs
Cryptographic agent identity with Ed25519 anchors, signed action receipts, and scoped trust delegation. One .aid file. Any agent. Any LLM.
...morediegoperea20
Use for learning LangGraph, LangGraph is a LangChain library designed to create agent and LLM workflows based on graphs, rather than linear chains.
...moresrikanth-programmer
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.
...moreliyxianren
Contract-first Codex dev workflow for OpenClaw: Plan → Run → Verify → Fix (auditable artifacts)
agentralabs
Intent compilation and uncertainty detection for AI agents — truth verification, ambiguity resolution, causal reasoning. Rust core + MCP server.
...moreconorluddy
npx agent-loadout — one command to bootstrap your terminal for agentic coding. 50 CLI tools with companion Skills to inform your agents.
...moreuddeshya-23
Research and User Story Creator for Product Managers
sammcj
Sync config, rules, workflows, skills and templates across agentic coding tools
264Gaurav
AI agents and Agentic AI projects - ReAct agents , Reflection Agents(Generator + Reflector) etc.
i2y
Durable Execution Framework for Go
Tuesdaythe13th
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.
...moreKG-Strategist
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.
...moreagentralabs
Streaming validation engine for AI agents — real-time code validation during generation, shadow execution, protection layers. Rust core + MCP server.
...moremeyz664K
Automate binary analysis by coordinating LLM agents with Ghidra, enabling scalable and precise reverse engineering workflows.
...moreJ-sephB-lt-n
Staying up to date with Large Language Models (no hype)
AleGallagher
AI Agent for the Women's Euro 2025
sauravbhattacharya001
Turn natural language into executable code — right in your browser. Lightweight AI chat powered by GPT-4o with sandboxed JavaScript execution.
...moreselafmai
Magentic-one AGENTIC InsurTech workflow system
ChiggyJain
I have learned and worked with Python, Git, Docker, Pydantic, LLMs, Agents, RAG, LangChain, LangGraph, and Multi-Modal AI, and can build, deploy, and scale real-world AI applications.
...morewrdhall3
Project that uses Neo4j database for DQ Rules and use LangGraph agents for interaction. Trino used as a way of connecting to multiple different system databases. React front end. Goal is find violations of DQRules across three different systems
...moreradisicc
Daytona Code Executor is a web-based environment for running TypeScript, JavaScript, and Python code in secure Daytona sandboxes. It supports file uploads, AI-powered code analysis, and optimization, making it ideal for AI-driven development, automated testing, and secure execution.
...moreagarzon
Inspect inbound webhooks and HTTP calls in real-time.
alanaqrawi
Files to run the workflows and back-ups of the documented runs for the Parents is All You Need Paper 1 - use the Readme file to learn more
...more