awesome-agent-evolution

A curated list of AI Agent evolution, memory systems, multi-agent architectures, and self-improvement projects. | evomap.ai
https://github.com/EvoMap/awesome-agent-evolution

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Agent Coding and Software Engineering
- **Claude Code** - Terminal-native agentic coding tool from Anthropic. Understands your codebase and executes tasks through natural language. by [@anthropics](https://github.com/anthropics) (132,937 stars)
- **Codex** - Lightweight coding agent from OpenAI written in Rust. Runs locally as CLI, IDE extension, or desktop app. by [@OpenAI](https://github.com/OpenAI) (91,654 stars)
- **Pi** - Self-extensible coding agent and agent harness. Bundles an interactive coding CLI, an agent runtime with tool calling and state, and a unified multi-provider LLM API. by [@earendil-works](https://github.com/earendil-works) (63,438 stars)
- **Cline** - Autonomous coding agent available as an IDE extension, CLI, or SDK. Plans and executes multi-step edits with human-in-the-loop approval. by [@cline](https://github.com/cline) (63,419 stars)
- **agent-skills** - Production-grade engineering skills and best practices for AI coding agents. by [@addyosmani](https://github.com/addyosmani) (61,714 stars)
- **goose** - Open-source extensible AI coding agent that goes beyond code suggestions. by [@aaif-goose](https://github.com/aaif-goose) (49,654 stars)
- **Aider** - AI pair programming in your terminal. Edit code with LLMs across 100+ languages with deep Git integration. by [@Aider-AI](https://github.com/Aider-AI) (46,359 stars)
- **Taste-Skill** - High-Agency frontend skill that helps AI generate less generic, more tasteful outputs. by [@Leonxlnx](https://github.com/Leonxlnx) (45,625 stars)
- **Qwen Code** - Open-source AI coding agent that lives in your terminal, optimized for Qwen-Coder models. by [@QwenLM](https://github.com/QwenLM) (25,297 stars)
- **SWE-Agent** - Automatically fix GitHub issues and handle cybersecurity challenges. State-of-the-art on SWE-bench. by [@SWE-agent](https://github.com/SWE-agent) (19,542 stars)
- **Devika** - The first open-source implementation of an Agentic Software Engineer. An open-source alternative to Devin. by [@stitionai](https://github.com/stitionai) (19,513 stars)
- **context-mode** - Context window optimization tool for AI coding agents with sandboxed tool output and 98% token reduction. by [@mksglu](https://github.com/mksglu) (17,634 stars)
- **Plandex** - Open-source AI coding agent designed for large projects and complex real-world tasks with persistent context. by [@plandex-ai](https://github.com/plandex-ai) (15,457 stars)
- **Trae Agent** - LLM-based agent by ByteDance for general-purpose software engineering tasks. by [@bytedance](https://github.com/bytedance) (11,672 stars)
- **Open SWE** - Open-source asynchronous coding agent by LangChain for software engineering tasks. by [@langchain-ai](https://github.com/langchain-ai) (9,989 stars)
- **Mini-SWE-Agent** - The 100-line AI agent that solves GitHub issues. Radically simple but scores >74% on SWE-bench verified. by [@SWE-agent](https://github.com/SWE-agent) (5,237 stars)
- **Reflexion** - Language agents with verbal reinforcement learning. Agents that learn from mistakes through self-reflection. by [@noahshinn](https://github.com/noahshinn) (3,183 stars)
Agent Development Platforms
- **dify** - Production-ready platform for building agentic AI workflows with visual orchestration. by [@langgenius](https://github.com/langgenius) (145,594 stars)
- **LangChain** - Full-stack agent engineering platform with composable chains, tools, and memory integration. by [@langchain-ai](https://github.com/langchain-ai) (139,540 stars)
- **OpenHands** - Open platform for AI software developers as generalist agents. Autonomous coding, debugging, and deployment. by [@OpenHands](https://github.com/OpenHands) (77,481 stars)
- **CowAgent** - Super AI assistant based on LLMs with autonomous thinking, task planning, skill creation, and long-term memory. by [@zhayujie](https://github.com/zhayujie) (45,371 stars)
- **agno** - Production-ready agent framework that turns agents into deployable services with multi-framework support. by [@agno-agi](https://github.com/agno-agi) (40,741 stars)
- **langgraph** - Build resilient language agents as stateful graphs with persistence and streaming. by [@langchain-ai](https://github.com/langchain-ai) (35,007 stars)
- **AgenticSeek** - Fully local autonomous agent with browsing, coding, and multi-agent capabilities. No API keys required. by [@Fosowl](https://github.com/Fosowl) (26,532 stars)
- **haystack** - Open-source AI orchestration framework for building context-engineered production applications. by [@deepset-ai](https://github.com/deepset-ai) (25,589 stars)
- **mastra** - TypeScript framework for building AI-powered applications with agent workflows and RAG. by [@mastra-ai](https://github.com/mastra-ai) (25,162 stars)
- **Coze Studio** - AI agent development platform with visual tools for creating, debugging, and deploying agents. by [@coze-dev](https://github.com/coze-dev) (21,000 stars)
- **Google ADK** - Open-source Python toolkit by Google for building, evaluating, and deploying sophisticated AI agents. by [@google](https://github.com/google) (20,149 stars)
- **CoPaw** - Co Personal Agent Workstation built on AgentScope. Desktop agent platform with multi-agent collaboration and tool integration. by [@agentscope-ai](https://github.com/agentscope-ai) (18,676 stars)
- **Parlant** - The conversational control layer for customer-facing AI agents. A context-engineering framework for controlling interactions. by [@emcie-co](https://github.com/emcie-co) (18,118 stars)
- **OpenFang** - Open-source Agent Operating System for deploying and managing AI agents. by [@RightNow-AI](https://github.com/RightNow-AI) (17,849 stars)
- **PydanticAI** - Type-safe AI agent framework built on Pydantic with structured outputs and dependency injection. by [@pydantic](https://github.com/pydantic) (17,805 stars)
- **agents** - Framework for building realtime voice AI agents with speech-to-speech pipelines. by [@livekit](https://github.com/livekit) (11,012 stars)
- **ten-framework** - Open-source framework for building conversational voice AI agents. by [@TEN-framework](https://github.com/TEN-framework) (10,680 stars)
- **Agent-Squad** - Flexible framework for managing multiple AI agents and handling complex conversations. by [@2FastLabs](https://github.com/2FastLabs) (7,661 stars)
- **PySpur** - Visual playground for agentic workflows with rapid iteration on multi-agent pipelines. by [@PySpur-Dev](https://github.com/PySpur-Dev) (5,737 stars)
- **MS-Agent** - Lightweight framework by ModelScope to empower agentic execution of complex tasks with memory and deep research. by [@modelscope](https://github.com/modelscope) (4,307 stars)
Agent Evolution and Self-Improvement
- **Eliza** - Autonomous agents for everyone. A framework for creating and deploying AI agents that evolve over time. by [@elizaOS](https://github.com/elizaOS) (18,598 stars)
- **Agent Zero** - General-purpose AI agent framework that learns and evolves through interaction. by [@agent0ai](https://github.com/agent0ai) (18,108 stars)
- **SuperAGI** - A dev-first open source autonomous AI agent framework. Build, manage and run self-improving autonomous agents. by [@TransformerOptimus](https://github.com/TransformerOptimus) (17,573 stars)
- **evolver** - The GEP-powered self-evolution engine for AI agents. Genome Evolution Protocol enables agents to evolve autonomously via mutation and selection. by [@EvoMap](https://github.com/EvoMap) (8,756 stars)
- **OpenEvolve** - Open-source evolutionary coding agent inspired by AlphaEvolve. Evolves code solutions through LLM-driven mutation and selection. by [@algorithmicsuperintelligence](https://github.com/algorithmicsuperintelligence) (6,564 stars)
- **Agents (aiwaves)** - An open-source framework for data-centric, self-evolving autonomous language agents. by [@aiwaves-cn](https://github.com/aiwaves-cn) (5,932 stars)
- **EvoAgentX** - Automated framework for evolving agentic workflows. Optimizes agent prompts, tools, and pipelines via evolutionary algorithms. by [@EvoAgentX](https://github.com/EvoAgentX) (3,077 stars)
- **HyperAgents** - Self-referential self-improving agents by Meta. DGM-Hyperagents add an optimization layer so agents edit their own improvement process. by [@facebookresearch](https://github.com/facebookresearch) (2,583 stars)
- **SIA** - Self-improving AI framework that autonomously optimizes the performance of any AI system through iterative evaluation and refinement. by [@hexo-ai](https://github.com/hexo-ai) (1,753 stars)
- **Agent0** - Self-evolving agent framework from UNC/Salesforce/Stanford. Improves without human-curated datasets via curriculum and executor agent competition. by [@aiming-lab](https://github.com/aiming-lab) (1,220 stars)
- **Ouroboros** - Self-creating AI agent that writes its own code and evolves autonomously. Completed 30+ evolution cycles in first 24 hours with zero human intervention. by [@razzant](https://github.com/razzant) (642 stars)
- **A-Evolve** - The PyTorch for Agentic AI. Open-source infrastructure that evolves any agent across any domain with zero human intervention. #1 on MCP-Atlas (79.4%). by [@A-EVO-Lab](https://github.com/A-EVO-Lab) (611 stars)
- **SEAgent** - Self-Evolving Computer Use Agent with Autonomous Learning from Experience. by [@SunzeY](https://github.com/SunzeY) (251 stars)
Agent Safety and Guardrails
- **NeMo Guardrails** - NVIDIA's toolkit for adding programmable guardrails to LLM conversational systems. Policy-based safety controls. by [@NVIDIA-NeMo](https://github.com/NVIDIA-NeMo) (6,454 stars)
- **AgentDoG** - Diagnostic guardrail framework for AI agent safety and security. Detects and intercepts unsafe agent behavior at runtime. by [@AI45Lab](https://github.com/AI45Lab) (626 stars)
Agent-to-Agent Protocols
- **Google A2A** - Google's open Agent-to-Agent protocol. Enables agent discovery, secure collaboration, and long-running tasks while preserving agent opacity. by [@a2aproject](https://github.com/a2aproject) (24,321 stars)
- **mcp-use** - The fullstack MCP framework to develop MCP Apps for ChatGPT/Claude and MCP Servers for AI Agents. by [@mcp-use](https://github.com/mcp-use) (10,114 stars)
- **openagent** - Enterprise AI platform with MCP and A2A protocol management, knowledge base, and admin interface. by [@the-open-agent](https://github.com/the-open-agent) (5,266 stars)
- **ViteMCP** - A TypeScript framework for building MCP servers. by [@punkpeye](https://github.com/punkpeye) (3,198 stars)
- **arcade-mcp** - MCP server framework and tool-development library for building custom agent capabilities and authenticated tool calls. by [@ArcadeAI](https://github.com/ArcadeAI) (925 stars)
- **A2A x402** - A2A protocol extension adding x402 on-chain payments, letting agents monetize services over Agent-to-Agent calls. by [@google-agentic-commerce](https://github.com/google-agentic-commerce) (526 stars)
- **GEP MCP Server** - MCP Server for Genome Evolution Protocol. Exposes evolution tools to Claude Desktop, Cursor, and any MCP client. by [@EvoMap](https://github.com/EvoMap) (4 stars)
Benchmarks and Evaluation
- Embodied AI and Robotics
  - SWE-bench - Can agents resolve real-world GitHub issues?
  - AgentBench - Multi-dimensional evaluation of LLMs as agents.
  - WebArena - Realistic web environment for autonomous agents.
  - OSWorld - Open-ended tasks in real computer environments.
  - GAIA - General AI assistant capabilities benchmark.
  - EvoClaw - Evaluating agents on continuous software evolution.
  - LoCoMo - Long-context memory benchmark for agent memory systems.
Community and Knowledge
- Embodied AI and Robotics
  - **Awesome-Self-Evolving-Agents** - A comprehensive survey of self-evolving AI agents. Covers single-agent optimization, multi-agent optimization, and domain-specific approaches. by [@EvoAgentX](https://github.com/EvoAgentX) (2,245 stars)
Embodied AI
- **Open-AutoGLM** - An Open Phone Agent Model and Framework. Unlocking the AI Phone for Everyone. by [@zai-org](https://github.com/zai-org) (25,550 stars)
- **LeRobot** - Open-source robotics framework by Hugging Face. Models, datasets, and tools for real-world robotics in PyTorch. (25,053 stars)
- **Nanobrowser** - Chrome extension for AI-powered web automation. Run multi-agent workflows using your own AI keys. by [@nanobrowser](https://github.com/nanobrowser) (13,307 stars)
- **XcodeBuildMCP** - A MCP server and CLI for agent use when working on iOS and macOS projects. by [@getsentry](https://github.com/getsentry) (5,917 stars)
- **Mobile MCP** - Model Context Protocol Server for Mobile Automation and Scraping (iOS, Android, Emulators and Real Devices). by [@mobile-next](https://github.com/mobile-next) (5,219 stars)
- **agent-device** - CLI that lets AI agents drive real iOS and Android devices — taps, text input, screenshots, and app control for mobile automation. by [@callstack](https://github.com/callstack) (2,807 stars)
- **ROS-LLM** - Framework for embodied intelligence in ROS. Natural language interactions with LLMs for robot control. by [@Auromix](https://github.com/Auromix) (802 stars)
- **RAI** - Vendor-agnostic agentic framework for Physical AI and robotics. Connects LLM agents to ROS 2 tools for perception, reasoning, and control. by [@RobotecAI](https://github.com/RobotecAI) (529 stars)
Footnotes
- Embodied AI and Robotics
  - EvoMap
  - Awesome Agent Swarm - agent orchestration, swarm intelligence, and collaborative agent systems.
  - ![Star History Chart - history.com/#EvoMap/awesome-agent-evolution&EvoMap/awesome-agent-swarm&EvoMap/evolver&mem0ai/mem0&letta-ai/letta&memvid/memvid&elizaOS/eliza&agent0ai/agent-zero&codelion/openevolve&facebookresearch/HyperAgents&anthropics/claude-code&openai/codex&google/A2A&All-Hands-AI/OpenHands&langchain-ai/langchain&Date)
Key Research Papers
- Embodied AI and Robotics
  - RACAS: Controlling Diverse Robots With a Single Agentic System - Single architecture controlling ground robots, robotic limbs, and underwater vehicles via natural language.
  - RoboClaw: Scalable Long-Horizon Robotic Tasks - VLM-driven framework with 25% improvement on long-horizon tasks and 53.7% less human time.
  - MEM: Multi-Scale Embodied Memory for Vision Language Action Models - Mixed-modal memory for tasks spanning up to fifteen minutes.
- Memory Optimization
  - Agentic Memory: Unified Long-Term and Short-Term Memory Management - Memory operations as tool-based actions with progressive RL training via GRPO.
  - MEMORA: Harmonic Memory Representation - Balances abstraction and specificity. SOTA on LoCoMo and LongMemEval.
  - Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory - Production architecture. 26% improvement on LOCOMO, 91% latency reduction.
  - TeleMem: Long-Term and Multimodal Memory for Agentic AI - Multimodal memory achieving 19% higher accuracy, 43% fewer tokens, 2.1x speedup over Mem0. (arXiv 2026)
  - A-MEM: Agentic Memory for LLM Agents - Self-organizing memory with autonomous management.
  - Agent Workflow Memory - Memory tied to agent workflow patterns.
  - MemoryBank: Enhancing Large Language Models with Long-Term Memory - Structured long-term memory for LLMs.
  - Compress to Impress - Compression-based memory for extended dialogues.
- Prompt and Behaviour Evolution
  - ARTEMIS: Evolutionary Optimization for LLM Agent Configurations - Semantically-aware genetic operators for joint agent config optimization. 13.6% on competitive programming.
  - E-SPL: Unifying Evolutionary Prompt Search and Reinforcement Learning - Joint RL weight updates with genetic operators for system prompt evolution.
  - EvoPrompt: Connecting LLMs with Evolutionary Algorithms - Evolutionary algorithms for prompt optimization.
  - Promptbreeder: Self-Referential Self-Improvement Via Prompt Evolution - Prompts that evolve themselves recursively.
  - Large Language Models as Optimizers (OPRO) - Using LLMs to optimize their own prompts.
  - TextGrad: Automatic Differentiation via Text - Gradient-like optimization through text feedback.
- Reasoning and Planning
  - Reflexion: Language Agents with Verbal Reinforcement Learning - Agents that learn from mistakes through self-reflection.
  - ReflAct: World-Grounded Decision Making via Goal-State Reflection - Goal-state reflection improving strategic reliability by 27.7% over ReAct.
- Safety, Red-Teaming, and Alignment
  - AgenticRed: Optimizing Agentic Systems for Automated Red-teaming - Evolutionary red-teaming workflow design. 96% attack success on Llama-2-7B.
  - Agent vs. Agent: Automated Red-Teaming for Custom Agentic Workflows - AgentHarm-Gen for adversarial task generation. 162% increase in attack success rate.
  - AGENTSAFE: Unified Framework for Ethical Assurance and Governance - Design, runtime, and audit controls covering the agentic loop.
  - OpenGuardrails: Context-Aware AI Guardrails Platform - Context-aware safety detection and model-manipulation prevention.
- Self-Evolution and Lifelong Learning
  - Live-SWE-agent: Can Software Engineering Agents Self-Evolve on the Fly? - First live agent that autonomously evolves itself during runtime. 77.4% on SWE-bench Verified.
  - EvoClaw: Evaluating AI Agents on Continuous Software Evolution - Benchmark revealing performance drops from >80% to at most 38% in continuous evolution settings.
  - Symbolic Learning Enables Self-Evolving Agents - Agents that evolve through symbolic representation learning.
  - Building Self-Evolving Agents via Experience-Driven Lifelong Learning - Framework and benchmark for lifelong agent learning.
  - Darwin Godel Machine - Agents that rewrite their own code through evolutionary pressure.
  - EvoAgent: Self-evolving Agent with Continual World Model - Continual world model for long-horizon task evolution.
  - Absolute Zero: Reinforced Self-play Reasoning with Zero Data - Self-play reasoning without any training data.
  - AutoAgent: Evolving Cognition and Elastic Memory Orchestration - Self-evolving framework with evolving cognition and elastic memory.
  - Group-Evolving Agents - Agent groups as evolutionary units with experience sharing. 71.0% on SWE-bench Verified.
  - Agent0: Unleashing Self-Evolving Agents from Zero Data - Curriculum and executor competition for self-improvement.
  - SEMAG: Self-Evolutionary Multi-Agent Code Generation - Self-evolutionary agents that auto-upgrade backbone models. 52.6% on CodeContests.
  - SAGE: Multi-Agent Self-Evolution for LLM Reasoning - Four co-evolving agents from shared LLM backbone.
- Surveys
  - A Comprehensive Survey of Self-Evolving AI Agents - Unified framework with four components: System Inputs, Agent System, Environment, and Optimisers. Covers evolution of models, prompts, memory, tools, and workflows.
  - A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve - Organizes around what to evolve, when to evolve, and how to evolve. Covers intra-test-time and inter-test-time adaptation.
  - Memory for Autonomous LLM Agents: Mechanisms, Evaluation, and Emerging Frontiers - Formalizes agent memory as write-manage-read loop. Taxonomy spanning temporal scope, representational substrate, and control policy.
- Tool and Code Evolution
  - AlphaEvolve - LLM-driven evolutionary code improvement.
  - Learning Evolving Tools for Large Language Models - Tools that co-evolve with agent capabilities.
  - CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning - Agents that create their own tools.
  - ToolRL: Reward is All Tool Learning Needs - Reinforcement learning for tool use optimization.
Memory Systems
- **Mem0** - Production-ready AI agent memory with scalable long-term memory. 26% improvement over baseline on LOCOMO benchmark with 91% latency reduction. by [@mem0ai](https://github.com/mem0ai) (58,775 stars)
- **Letta** - Platform for building stateful agents with advanced self-editing memory. Formerly MemGPT. by [@letta-ai](https://github.com/letta-ai) (23,376 stars)
- **agentmemory** - Persistent, benchmark-tuned memory for coding agents (Claude Code, Cursor, Copilot CLI, Codex, and any MCP client). Remembers context across sessions so you stop re-explaining. by [@rohitg00](https://github.com/rohitg00) (23,222 stars)
- **Cognee** - Knowledge engine for AI agent memory. Build and query knowledge graphs from unstructured data in 6 lines of code. by [@topoteretes](https://github.com/topoteretes) (17,870 stars)
- **Memvid** - Single-file memory layer for AI Agents in Rust. +35% SOTA on LoCoMo with ultra-low latency (0.025ms P50). by [@memvid](https://github.com/memvid) (15,662 stars)
- **memU** - Memory system for 24/7 proactive agents. Persistent memory across sessions and platforms. by [@NevaMind-AI](https://github.com/NevaMind-AI) (13,882 stars)
- **EverMemOS** - Long-term memory for 24/7 AI agents across LLMs and platforms. by [@EverMind-AI](https://github.com/EverMind-AI) (7,629 stars)
- **ChatLab** - Rediscover your social memories with local, AI-powered analysis. 本地化的聊天记录分析工具，通过 AI Agent 回顾你的社交记忆。. by [@ChatLab](https://github.com/ChatLab) (6,716 stars)
- **TencentDB Agent Memory** - Fully local long-term memory for AI agents via a four-tier progressive storage architecture, from Tencent Cloud. by [@TencentCloud](https://github.com/TencentCloud) (5,859 stars)
- **holaOS** - Agent environment for long-horizon work, continuity, and self-evolution. by [@holaboss-ai](https://github.com/holaboss-ai) (5,513 stars)
- **honcho** - Memory library for building stateful agents with user context management. by [@plastic-labs](https://github.com/plastic-labs) (5,231 stars)
- **memgraph** - High-performance open-source in-memory graph database for GraphRAG, AI memory, agentic AI, and real-time graph analytics. Cypher-compatible, built in C++. by [@memgraph](https://github.com/memgraph) (4,164 stars)
- **Acontext** - Open-source skill memory layer for AI agents. Automatically captures learnings from agent runs and stores them as reusable skill files. by [@memodb-io](https://github.com/memodb-io) (3,538 stars)
- **MemMachine** - Universal memory layer for AI agents. Episodic (graph-based), profile (SQL), and working memory with scalable storage and retrieval. by [@MemMachine](https://github.com/MemMachine) (3,119 stars)
- **ReMe** - Memory management kit for agents. File-based and vector-based memory systems. SOTA on LoCoMo and HaluMem benchmarks. by [@agentscope-ai](https://github.com/agentscope-ai) (3,094 stars)
- **datachain** - Operational data context layer for AI agents providing typed and versioned datasets over multimodal content. by [@datachain-ai](https://github.com/datachain-ai) (2,784 stars)
- **nocturne_memory** - Lightweight, rollbackable Long-Term Memory Server for MCP Agents with graph-like structured memory. by [@Dataojitori](https://github.com/Dataojitori) (1,210 stars)
- **Mem9** - Unlimited persistent memory layer for AI agents. Cloud-synced memory across sessions and tools. by [@mem9-ai](https://github.com/mem9-ai) (1,143 stars)
- **Awesome-AI-Memory** - Curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and system design. by [@IAAR-Shanghai](https://github.com/IAAR-Shanghai) (994 stars)
- **MemSkill** - Learning and evolving memory skills for self-evolving agents. Meta-memory that determines what to extract, remember, and forget. by [@ViktorAxelsen](https://github.com/ViktorAxelsen) (522 stars)
- **Awesome-Agent-Memory** - Curated systems, benchmarks, and papers on memory for LLMs/MLLMs -- long-term context, retrieval, and reasoning. by [@TeleAI-UAGI](https://github.com/TeleAI-UAGI) (476 stars)
- **TeleMem** - High-performance drop-in Mem0 replacement. 19% higher accuracy, 43% fewer tokens, and 2.1x speedup via narrative dynamic extraction. by [@TeleAI-UAGI](https://github.com/TeleAI-UAGI) (466 stars)
Prompt and Behaviour Optimization
- **Promptfoo** - Open-source LLM evaluation and red-teaming framework. Test prompts, agents, and RAGs with 90+ model providers and 67+ security plugins. by [@promptfoo](https://github.com/promptfoo) (22,304 stars)
- **TextGrad** - Automatic differentiation via text. Backpropagation through LLM-provided textual gradients, published in Nature. by [@zou-group](https://github.com/zou-group) (3,610 stars)

Programming Languages

Python 35 TypeScript 20 Rust 4 Go 2 JavaScript 1 C 1 Shell 1 C++ 1

ecosyste.ms

Data

Tools

Indexes

Applications

Experiments

Awesome

awesome-agent-evolution

Agent Coding and Software Engineering

Agent Development Platforms

Agent Evolution and Self-Improvement

Agent Safety and Guardrails

Agent-to-Agent Protocols

Benchmarks and Evaluation

Embodied AI and Robotics

Community and Knowledge

Embodied AI and Robotics

Embodied AI

Footnotes

Embodied AI and Robotics

Key Research Papers

Embodied AI and Robotics

Memory Optimization

Prompt and Behaviour Evolution

Reasoning and Planning

Safety, Red-Teaming, and Alignment

Self-Evolution and Lifelong Learning

Surveys

Tool and Code Evolution

Memory Systems

Prompt and Behaviour Optimization