AI Agents

Reviews & Perspectives

Published

• 2024-04: LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models (code)
• 2024-08: From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
• 2024-09: Towards a Science Exocortex
• 2024-09: Large Language Model-Based Agents for Software Engineering: A Survey
• 2024-09: Agents in Software Engineering: Survey, Landscape, and Vision

Continually updating

• OpenThought - System 2 Research Links
• Awesome LLM Strawberry (OpenAI o1): Collection of research papers & blogs for OpenAI Strawberry(o1) and Reasoning

Analysis/Opinions

• LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks
• Cutting AI Assistant Costs by Up to 77.8%: The Power of Enhancing LLMs with Business Logic

Guides

• Anthropic: Building Effective Agents

AI Assistants

Components of AI Assistants

Agent Internal Workflow Management

• LangChain
• Pydantic: Agent Framework / shim to use Pydantic with LLMs
• Flow: A lightweight task engine for building AI agents that prioritizes simplicity and flexibility
• llama-stack
• Huggingface smolagents
• Eliza (includes multi-agent, interaction with docs, Discord, Twitter, etc.)

Information Retrieval

• See also RAG.
• 2024-09: PaperQA2: Language Models Achieve Superhuman Synthesis of Scientific Knowledge (𝕏 post, code)
• 2024-10: Agentic Information Retrieval

Control (tool-use, computer use, etc.)

• Anthropic Model Context Protocol (MCP)
  • FastMCP: The fast, Pythonic way to build MCP servers

Open-source

• Khoj (code): self-hostable AI assistant
• RAGapp: Agentic RAG for enterprise
• STORM: Synthesis of Topic Outlines through Retrieval and Multi-perspective Question Asking
  • Can write (e.g.) Wikipedia-style articles
  • code
  • Preprint: Assisting in Writing Wikipedia-like Articles From Scratch with Large Language Models

Personalities/Personas

• 2023-10: Generative Agents: Interactive Simulacra of Human Behavior
• 2024-11: Microsoft TinyTroupe 🤠🤓🥸🧐: LLM-powered multiagent persona simulation for imagination enhancement and business insights
• 2024-11: Generative Agent Simulations of 1,000 People (code)

Specific Uses for AI Assistants

Computer Use

• 2024-11: The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use (code)

Software Engineering

• 2024-11: MLE-Agent: Your intelligent companion for seamless AI engineering and research

Science Agents

See Science Agents.

LLM-as-judge

• List of papers.
• LLM Evaluation doesn't need to be complicated
• Evaluating the Effectiveness of LLM-Evaluators (aka LLM-as-Judge)
• [https://github.com/llm-as-a-judge/Awesome-LLM-as-a-judge Awesome-LLM-as-a-judge Survey
• 2024-10: Agent-as-a-Judge: Evaluate Agents with Agents
• 2024-11: A Survey on LLM-as-a-Judge
• 2024-12: LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Advanced Workflows

• Salesforce DEI: meta-system that leverages a diversity of SWE agents
  • Preprint: Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
• Sakana AI: AI Scientist
  • The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
  • code
• SciAgents: Automating scientific discovery through multi-agent intelligent graph reasoning
  • code

Software Development Workflows

Several paradigms of AI-assisted coding have arisen:

1. Manual, human driven
2. AI-aided through chat/dialogue, where the human asks for code and then copies it into the project
   1. OpenAI ChatGPT
   2. Anthropic Claude
3. API calls to an LLM, which generates code and inserts the file into the project
4. LLM-integration into the IDE
   1. Copilot
   2. Qodo (Codium) & AlphaCodium (preprint, code)
   3. Cursor
   4. Codeium Windsurf (with "Cascade" AI Agent)
5. AI-assisted IDE, where the AI generates and manages the dev environment
   1. Replit
   2. Aider (code): Pair programming on commandline
   3. Pythagora
   4. StackBlitz bolt.new
   5. Cline (formerly Claude Dev)
6. Prompt-to-product
   1. Github Spark (demo video)
7. Semi-autonomous software engineer agents
   1. Devin (Cognition AI)
   2. Amazon Q
   3. Honeycomb

For a review of the current state of software-engineering agentic approaches, see:

• 2024-08: From LLMs to LLM-based Agents for Software Engineering: A Survey of Current, Challenges and Future
• 2024-09: Large Language Model-Based Agents for Software Engineering: A Survey
• 2024-09: Agents in Software Engineering: Survey, Landscape, and Vision

Corporate AI Agent Ventures

Mundane Workflows and Capabilities

• Payman AI: AI to Human platform that allows AI to pay people for what it needs
• VoiceFlow: Build customer experiences with AI
• Mistral AI: genAI applications
• Taskade: Task/milestone software with AI agent workflows
• Covalent: Building a Multi-Agent Prompt Refining Application

Inference-compute Reasoning

• Nous Research: Forge Reasoning API Beta

Agentic Systems

• Topology AI
• Cognition AI: Devin software engineer (14% SWE-Agent)
• Honeycomb (22% SWE-Agent)

Increasing AI Agent Intelligence

See: Increasing AI Intelligence

Multi-agent orchestration

Research

Societies and Communities of AI agents

• 2024-12: Cultural Evolution of Cooperation among LLM Agents

Research demos

• Camel
• LoopGPT
• JARVIS
• OpenAGI
• AutoGen
  • preprint: AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
  • Agent-E: Browser (eventually computer) automation (code, preprint, demo video)
  • AutoGen Studio: GUI for agent workflows (code)
  • Magentic-One: A Generalist Multi-Agent System for Solving Complex Tasks
• AG2 (previously AutoGen) (code, docs, Discord)
• TaskWeaver
• MetaGPT
• AutoGPT (code); and AutoGPT Platform
• Optima
  • preprint: Optima: Optimizing Effectiveness and Efficiency for LLM-Based Multi-Agent System
  • code
• 2024-04: LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models (code)
• 2024-06: MASAI: Modular Architecture for Software-engineering AI Agents
• 2024-10: Agent S: An Open Agentic Framework that Uses Computers Like a Human (code)
• 2024-10: AutoKaggle: A Multi-Agent Framework for Autonomous Data Science Competitions

Related work

• 2024-07: PersonaGym: Evaluating Persona Agents and LLMs

Inter-agent communications

• 2024-10: Agora: A Scalable Communication Protocol for Networks of Large Language Models (preprint): disparate agents auto-negotiate communication protocol
• 2024-11: DroidSpeak: Enhancing Cross-LLM Communication: Exploits caches of embeddings and key-values, to allow context to be more easily transferred between AIs (without consuming context window)
• 2024-11: Anthropic describes Model Context Protocol: an open standard for secure, two-way connections between data sources and AI (intro, quickstart, code)

Architectures

• Mixture-of-Agents Enhances Large Language Model Capabilities
• Motleycrew.ai (code)

Open Source Frameworks

• LangChain
• ell (code, docs)
• AgentOps AI AgentStack
• Agent UI
• kyegomez swarms
• OpenAI Swarm (cookbook)
• Amazon AWS Multi-Agent Orchestrator
• KaibanJS: Kanban for AI Agents? (Takes inspiration from Kanban visual work management.)
• Agentarium

Open Source Systems

• ControlFlow
  • documentation
  • code
• OpenHands (formerly OpenDevin)
  • code: platform for autonomous software engineers, powered by AI and LLMs
  • Report: OpenDevin: An Open Platform for AI Software Developers as Generalist Agents

Commercial Automation Frameworks

• Lutra: Automation and integration with various web systems.
• Gumloop
• TextQL: Enterprise Virtual Data Analyst
• Athena intelligence: Analytics platform
• Nexus GPT: Business co-pilot
• Multi-On: AI agent that acts on your behalf
• Firecrawl: Turn websites into LLM-ready data
• Reworkd: End-to-end data extraction
• Lindy: Custom AI Assistants to automate business workflows
  • E.g. use Slack
• Bardeen: Automate workflows
• Abacus: AI Agents
• LlamaIndex: (𝕏, code, docs, Discord)
• MultiOn AI: Agent Q (paper) automated planning and execution

Spreadsheet

• V7 Go
• Otto Grid
• Paradigm

Cloud solutions

• Numbers Station Meadow: agentic framework for data workflows (code).
• CrewAI says they provide multi-agent automations (code).
• LangChain introduced LangGraph to help build agents, and LangGraph Cloud as a service for running those agents.
  • LangGraph Studio is an IDE for agent workflows
• C3 AI enterprise platform
• Deepset AI Haystack (docs, code)

Frameworks

• Google Project Oscar
  • Agent: Gaby (for "Go AI bot") (code, documentation) helps with issue tracking.
• OpenPlexity-Pages: Data-aggregator implementation (like Perplexity) based on CrewAI

Optimization

Metrics, Benchmarks

• 2022-06: PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change
• 2023-06: Can Large Language Models Infer Causation from Correlation? (challenging Corr2Cause task)
• 2024-01: AutoGenBench -- A Tool for Measuring and Evaluating AutoGen Agents
• 2024-04: AutoRace (code): LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
• 2024-04: OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments (github)
• 2024-07: AI Agents That Matter
• 2024-09: CORE-Bench: Fostering the Credibility of Published Research Through a Computational Reproducibility Agent Benchmark (leaderboard)
• 2024-09: LLMs Still Can't Plan; Can LRMs? A Preliminary Evaluation of OpenAI's o1 on PlanBench
• 2024-09: On The Planning Abilities of OpenAI's o1 Models: Feasibility, Optimality, and Generalizability
• 2024-10: MLE-bench: Evaluating Machine Learning Agents on Machine Learning Engineering
• 2024-10: WorFBench: Benchmarking Agentic Workflow Generation
• 2024-10: VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models
• 2024-10: SimpleAQ: Measuring short-form factuality in large language models (announcement, code)
• 2024-11: RE-Bench: Evaluating frontier AI R&D capabilities of language model agents against human experts (blog, code)
• 2024-11: The Dawn of GUI Agent: A Preliminary Case Study with Claude 3.5 Computer Use (code)
• 2024-11: BALROG: Benchmarking Agentic LLM and VLM Reasoning On Games
• 2024-12: TheAgentCompany: Benchmarking LLM Agents on Consequential Real World Tasks (code, project, leaderboard)
• 2024-12: A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges

Multi-agent

• 2024-12: Cultural Evolution of Cooperation among LLM Agents

Agent Challenges

• Aidan-Bench: Test creativity by having a particular LLM generate long sequence of outputs (meant to be different), and measuring how long it can go before duplications appear.
  • NeurIPS 2024 paper/poster: AidanBench: Evaluating Novel Idea Generation on Open-Ended Questions
• Pictionary: LLM suggests prompt, multiple LLMs generate outputs, LLM judges; allows raking of the generation abilities.
• MC-bench: Request LLMs to build an elaborate structure in Minecraft; outputs can be A/B tested by human judges.

Automated Improvement

• 2024-06: EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms
• 2024-06: Symbolic Learning Enables Self-Evolving Agents
• 2024-08: Automated Design of Agentic Systems (ADAS code)
• 2024-08: Self-Taught Evaluators: Iterative self-improvement through generation of synthetic data and evaluation

See Also

• Science Agents
• AI tools
• AI understanding
• Robots
• Exocortex