Awesome Agents

Build agents which are controlled by LLMs

Autonomous GPT-4 agent platform

An LLM-powered repository agent designed to assist developers and teams in generating documentation and understanding repositories quickly.

An autoagentic AGI that is self-evolving and modular.

Agents Capable of Self-Editing Their Prompts / Python Code

SkyAGI: Emerging human-behavior simulation capability in LLM

The llama-cpp-agent framework is a tool designed for easy interaction with Large Language Models (LLMs). Allowing users to chat with LLM models, execute structured function calls and get structured output. Works also with models not fine-tuned to JSON output and function calls.

Audit-grade multi-agent orchestration for CLI coding agents (Claude Code, Codex, Gemini CLI, +40 more). HMAC-chained audit log, signed agent cards, per-artefact lineage, air-gap deploy. The orchestrator your compliance team will sign off on. https://bernstein.run

The open agent control plane. Govern autonomous AI agents with pre-execution policy enforcement, approval gates, and audit trails. Works with LangChain, CrewAI, MCP, and any framework.

Deploy LangChain Agents and connect them to Telegram

An autonomous HR agent that can answer user queries using tools

LoongFlow is an expert-grade Agent framework for Loop Engineering. Through a Plan-Execute-Summary loop and structured experiential memory, it enables AI to continuously think, execute, reflect, and evolve across complex software engineering, mathematical, and machine learning tasks.

Llama Agents + Workflows are an event-driven, async-first, step-based way to control the execution flow of AI applications like agents.

RAG evaluation without the need for "golden answers"

The easiest, and fastest way to run AI-generated Python code safely

Governed shared memory for AI agent fleets — multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.

A codebase wiki for AI coding agents. Captures what the code can't say: decisions, flows, invariants, gotchas.

(S)AGE - (Sovereign) Agent Governed Experience

No description.

Testing and evaluation framework for voice agents

Across 348 long-horizon benchmark sessions, Tura used up to 83.1% fewer turns on the rewrite benchmark and improved the DeepSWE pass rate by up to 16.7 percentage points compared with Codex CLI.

A python library for creating AI assistants with Vectara, using Agentic RAG