Autonomous AI agents that perform tasks independently
devdezzies
A light-weight framework for building AI agents with Native OpenAI API compatibility
hastekit
Open source Golang LLM wrapper, Agent SDK with Restate & Temporal support for durable agent loop
jimmyjdejesus-cmyk
🔬 Implementation of agent coordination architectures and scaling principles from 'Towards a Science of Scaling Agent Systems' (arXiv:2512.08296). Research-backed multi-agent framework with benchmarks and validation.
...morecristofima
GraphRAG, MCP integration, orchestration, evaluation using Azure AI and Microsoft Agent Framework
Scottcjn
ShaprAI — Agent Sharpener by Elyan Labs. Sharpen raw models into principled, self-governing Elyan-class agents. Requires beacon-skill, grazer-skill, atlas, RustChain.
...moreJohnnyFiv3r
Drop-in causal memory for AI agents. Append-only event store with associations and bounded prompt injection.
StanleyPrime
基于 Streamlit 的多模态 AI Agent Demo
Pact-Lang
A typed, permission-enforced language for orchestrating AI agents. Compile-time contracts, built-in guardrails, multi-backend dispatch.
...moresnath-ai
A self-correcting RAG demo built using the Làr Engine
Professor-Low
Autonomous AI agent platform with persistent cognitive memory — 49 MCP tools, OODA cognitive loop, browser automation, and multi-agent orchestration. Give your AI agents a brain that remembers, reasons, and learns.
...moreTheAuroraAI
Everything you need to make an AI autonomous. In one file. Production-hardened through 110+ sessions of real operation.
tylerjrbuell
Composable TypeScript AI agent framework — Effect-TS type safety, 5 reasoning strategies, persistent gateway, real-time streaming, multi-agent A2A
...moreKronic90
Dual local-LLM framework for testing long-term AI memory. Compares Aria’s vividness-decay episodic memory against Rex’s structured MemGPT-style core memory, where agents decide what to store, why it matters, and how memories persist across sessions.
...moreinnermost47
Autonomous AI agent framework for Moltbook with persistent memory, strategic decision-making, and customizable personalities powered by local LLMs
...moretjamescouch
LLM agent runtime with paged virtual memory and spatial context awareness
Alexli18
Debuggable runtime for AI agent workflows. DAG pipelines, artifact lineage, and replayable runs.
NeuroverseOS
Deterministic governance engine for AI agents. Enforce rules defined in .md governance files across AI systems.
wanderleyamorim
Prompt Architect turns ideas into robust, high-impact prompts for LLMs using structured design, proactive constraints, and clarity-driven principles.
...morenhomyk
Map every integration point in your AI codebase — 13 CWE categories, attack surface score, test coverage gaps. SARIF 2.1.0. No API key.
...moreDroxDynamics
Meet Drox Dynamics, the AI-powered browser that takes care of tasks for you. No more endless clicks, tell it what you need, and it gets it done.
...moreelsium-ai
Production-grade TypeScript AI runtime focused on reliability, governance, and reproducible LLM systems. Multi-provider gateway, agents, RAG, workflows, policy engine, audit trails, and deterministic testing — built for teams shipping AI in production.
...moremahsumaktas
Production-tested multi-agent orchestration with self-evolution, cognitive memory v9 (trust scoring, quarantine, dream consolidation), governance-first architecture, and native sub-agent gateway. 11 agents, 30 skills, 44+ scripts.
...morePhylogenicAIAgents
Phylogenic AI Agents: Genetic evolution for AI personalities. Self-optimizing agents with liquid memory, ML analytics, and evolutionary optimization. Beyond prompt engineering. A steps towards glass-box AI.
...moreClaudeSwift
The complete Swift platform for Claude AI — SDK, agent framework, RAG memory, and SwiftUI components. The first and only Swift agent framework. Zero dependencies.
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