Personal Health Insights Agent (PHIA)
The live attention layer for Paperclip. Re-stacks approvals, issues, and agent signals into now, next, and ambient.
A framework for building multi-agent AI systems. Enables LLMs to collaborate through hierarchical organization, parallel task execution, and extensible tools.
Deterministic, lightweight behaviour trees for C#. JSON & DSL support. Built for game AI, real-time agents, and rapid iteration.
[ANON for Submission]
Open-source failure intelligence platform for LLM & agent systems. Adds failure memory, pre-flight warnings, pattern detection, and system health scoring.
Benchmarked agent execution runtime for Python. Sub-10ms cold starts, real-time streaming, time-travel debugging, and self-growing tool libraries. Compare 3 sandbox backends: Docker (OpenSandbox), MicroVM, and in-process AST.
An open, neutral protocol for generating standardized intent metadata across apps, agents, and AI systems.
Documentation for Swarms — the multi-agent AI framework. This repo is the source for the docs site, built with Mintlify.
Lightweight Agent Framework for building AI apps with any LLM
This repo contains the original JADE code from the SVN of Telecom Italia
Open infrastructure modules for reliable and governable agent systems.
Autonomous multi-agent orchestration system using a deterministic FSM pipeline to coordinate AI agents for reliable reasoning workflows.
Prompt Cloud Intent Compression
A zero‑dependency DeepSeek multi‑agent framework: autonomous pipeline, recursive sub‑agents, adversarial review.
Equity-Traders is an AI-powered trading assistant built using MCP servers and the OpenAI SDK. It simulates intelligent equity trading workflows, enabling market analysis, trade execution logic, and decision-making support for financial strategies.
AI-powered multi-agent workflow automation system using Kanban-based task orchestration, dependency tracking, and intelligent agent collaboration.
SAGE — Self-improving Autonomous Generation Engine. Prompt → production software using coordinated AI agents. Local-first multi-agent coding pipeline with planning, coding, execution, and self-healing debugging.
Deterministic-first agent execution system focused on bounded autonomy, auditability, replayability, and operational reliability.
Compile structured intent into reliable AI workflows — no prompt engineering required
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