Frameworks & Libraries 102
Multi-Agent Orchestration
- AG2
Successor to AutoGen. Multi-agent framework with improved APIs.
- Agent Swarm
Multi-agent orchestration for AI coding assistants (Claude Code, Codex, Gemini CLI). Lead/worker coordination with Docker isolation, compounding memory, and Slack/GitHub integration.
- AgentField
Open-source control plane that makes AI agents callable as microservices. Routing, coordination, memory, async execution, and cryptographic audit trails. Supports Python, Go, and TypeScript.
- AgentScope
Alibaba's production-ready agent framework with essential abstractions, built-in fine-tuning support, and a visual drag-and-drop interface.
- Agno
Programming language for agentic software. Build and manage multi-agent systems at scale.
- AutoGen
Microsoft's multi-agent conversation framework. Supports complex agent topologies.
- CAMEL
Communicative agents for role-playing and multi-agent cooperation. First LLM multi-agent framework.
- CopilotKit
Frontend stack for building agent-powered apps with Generative UI. React, Angular, and mobile support; creators of the AG-UI Protocol (adopted by Google, LangChain, AWS, Microsoft, Mastra, and PydanticAI). MIT.
- CrewAI
Role-based multi-agent framework. Agents with roles, goals, and backstories.
- Cumora
Cross-platform team chat where AI agents are first-class teammates alongside humans: same roster, DMs, group rooms, Kanban board, and calendar. Agents keep personas and memory, claim work, send and receive real email, and coordinate without colliding (a server-side freshness gate holds stale replies until the agent has seen newer messages). Run agents in Cumora's cloud or bring your own (Claude Code, Codex, Grok Build, Cursor Agent, OpenCode, pi, Gemini CLI, Qwen Code) via a local daemon. Desktop, web, and iOS beta. MIT.
- DeerFlow
ByteDance's open-source long-horizon SuperAgent harness. Orchestrates sub-agents, sandboxes, memory, tools, and skills for tasks spanning minutes to hours. Hit #1 GitHub Trending with v2.0 (Feb 2026).
- dimos
Agentic operating system for physical space. Build multi-agent systems that control humanoids, quadrupeds, drones, and other hardware via natural language.
- firstmate
Agent distro for running a crew of coding agents. You talk to one "first mate" that spawns autonomous workers, gives each a clean git worktree, supervises them to completion, and hands back PRs or approved local merges. Nothing to install: the cloned repo (AGENTS.md, skills, helper scripts) runs inside Claude Code, Codex, Pi, OpenCode, Grok, or Cursor Agent CLI, with every worker visible in a tmux, Herdr, or Zellij pane. MIT.
- Google Agent Development Kit (ADK)
Google's open-source, code-first Python framework for building multi-agent systems with A2A support.
- Harmonist
Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
- LangGraph
Stateful agent workflows as graphs. Part of the LangChain ecosystem.
- LightAgent
Lightweight Python agent framework with tools, memory, MCP/SSE, Skills, workflows, and LightSwarm.
- LumiBot
Python framework for AI trading agents: research agents hand findings to one trading agent, with
- Markus
Open-source AI workforce platform for building and running teams of AI agents.
- Mastra
TypeScript-first AI agent framework with workflows, RAG, and integrations.
- MetaGPT
Multi-agent framework that mimics a software company with roles (PM, architect, engineer).
- Microsoft Agent Framework
Framework for building, orchestrating and deploying multi-agent workflows (Python + .NET).
- MiroFish
Concise and universal swarm intelligence engine for forecasting and prediction. Upload seed material, describe goals in natural language, get a detailed prediction report and an interactive simulation.
- Octochains
Parallel isolated multi-agent reasoning with centralized aggregation for high-stakes decision-making.
- Omnigent
Open-source meta-harness that orchestrates Claude Code, Codex, Cursor, OpenCode, Hermes, and Pi under one policy/sandboxing layer. Cloud sandboxes (Modal, Daytona, E2B, Kubernetes, Databricks), live multi-device session sharing, and YAML-defined sub-agents. Apache-2.0.
- OpenAI Agents SDK
OpenAI's production framework for multi-agent orchestration with handoffs and guardrails.
- Orkas
Open-source desktop workspace for coordinating specialist AI agents in parallel or sequence.
- Paperclip
Open-source, self-hosted control plane for running teams of AI agents like a company. Node.js server and React UI with a mixed human/agent org chart, goal-linked tasks, heartbeat scheduling, per-agent budgets, and approval gates. Bring your own agents (OpenClaw, Claude Code, Codex, Cursor, Gemini CLI, OpenCode, Pi, Hermes). 95K+ stars, MIT.
- QM
Y Combinator's open-source multiplayer agent harness for companies. Personal and shared scopes, Slack + web UI, org-level policy/security posture, shared skills, crons, and durable sandboxes. Pluggable coding loops (Pi, OpenCode, Codex, Claude Code). MIT.
- Raven
Harness of harnesses: plans tasks as DAGs and delegates them to built-in and third-party agents.
- Ruflo
Agent orchestration platform optimized for Claude. Features self-learning swarms, distributed intelligence, RAG integration, and native Claude Code/Codex integration. Formerly claude-flow.
- Semantic Kernel
Microsoft's SDK for AI orchestration. Plugins, planners, and memory.
- Sno Station
Runs Codex, Claude Code, Cursor and OpenClaw as one team: handoff at usage limits, cross-review.
- Strands Agents
AWS's model-driven, open-source SDK for building production AI agents in Python and TypeScript. Any model, any cloud, with MCP support and 23M+ monthly PyPI downloads. Apache-2.0.
Single Agent
- Claude Agent SDK
Anthropic's production SDK for building AI agents powered by Claude. Stateful sessions, tool execution, sandboxing, and streaming. Available in Python and TypeScript.
- CUGA
IBM Research generalist agent for API and web tasks, with policies and human approval.
- GenericAgent
Self-evolving agent that grows its own skill tree from ~3K lines of seed code. 9 atomic tools for full system control (browser, terminal, filesystem, screen vision) with automatic skill crystallization.
- Haystack
End-to-end NLP framework with agent pipelines.
- Instructor
Structured output from LLMs. Essential for reliable tool use.
- LangChain
The most popular LLM application framework. Agents, chains, tools.
- LangChain Deep Agents
LangChain's batteries-included, opinionated agent harness built on LangGraph. Filesystem, sub-agent spawning, todo tracking, and skills bundled in; extend or replace any piece. Model-agnostic, MIT. Also available as Deep Agents.js.
- LlamaIndex
Data framework for LLM apps. Strong RAG and data agent support.
- PydanticAI
GenAI agent framework, the Pydantic way. Type-safe and production-ready.
- smolagents
Hugging Face's lightweight agent library. ~1,000 lines of focused code, easy to understand and extend.
- TrueForge
Open-source agent harness: the runtime layer that turns any LLM into a working agent. Model-agnostic loop, tool registry, and session state for production deployments. MIT.
Code Agents
- Aider
AI pair programming in the terminal.
- Atomic Agent
Local-first CLI and TUI coding agent that runs open-weight models entirely on your machine. MIT.
- Claude Code
Anthropic's agentic coding tool. Terminal-based, strong at complex refactors and multi-file changes.
- Codex
OpenAI's cloud-based coding agent. Runs tasks in sandboxed environments, integrates with GitHub.
- Cursor
AI-first code editor with agent capabilities.
- dcode
Open-source terminal coding agent by LangChain. Model-agnostic with persistent memory and sandboxing.
- DeepSeek Harness
DeepSeek's plugin-first, provider-agnostic agent harness ("everything is a plugin"). Inference, tools, sessions, agent loop, sandbox, and web UI are all swappable modules. Works with DeepSeek, Anthropic, OpenAI, Bedrock, Vertex, Azure, and OpenAI-compatible endpoints. MIT, developer preview.
- Devin
Cognition's autonomous software engineer. Full environment with browser, editor, and terminal.
- fx
Vercel Labs' tiny native coding agent CLI written in Zig. Model-agnostic (AI Gateway, ChatGPT or Grok subscriptions, or any OpenAI-compatible endpoint such as Ollama), shell-style inline output that keeps your scrollback, one-shot fx ask for scripts, and embeddable via the libfx WebAssembly SDK or the Agent Client Protocol (ACP). Skills, MCP, and subagents. Apache-2.0, experimental.
- Gemini CLI
Open-source AI agent bringing Gemini directly into your terminal.
- GitHub Copilot
AI pair programmer with agent mode for multi-file edits, terminal commands, and autonomous task execution.
- Goose
Block's open-source extensible AI agent for full-cycle development. Desktop app, CLI, and API with native MCP support, 70+ extensions, and LLM-agnostic design. Now under the Linux Foundation's Agentic AI Foundation (AAIF).
- Grok Build
xAI's terminal-based coding agent CLI/TUI, synced from the SpaceXAI monorepo. Full-screen, mouse-interactive, understands the codebase, executes shell commands, supports headless/CI use and editor embedding via the Agent Client Protocol (ACP). Apache-2.0.
- herdr
Terminal workspace runtime for coding agents. Runs Claude Code, Codex, Cursor, OpenCode, and others in panes that keep running through client detach or a dropped SSH connection and restore their layout after a restart; marks each pane working, blocked, or idle; combines local and SSH machines in one window; and exposes a CLI/socket API so agents can spawn panes and prompt each other. Single Rust binary, 40K+ stars, Apache-2.0.
- Kimi Code CLI
Moonshot AI's single-binary terminal coding agent, successor to Kimi CLI. Video input for reviewing screen recordings, AI-native MCP configuration, built-in coder/explore/plan subagents, lifecycle hooks, and Agent Client Protocol (ACP) support for Zed/JetBrains. MIT.
- Kiro
AWS's spec-driven AI coding IDE. Three-phase Specify, Plan, Execute workflow.
- MiMoCode
Xiaomi's open-source terminal-native AI coding agent with cross-session persistent memory, subagent orchestration, and self-improvement via /dream and /distill commands. Fork of OpenCode with SQLite FTS5 memory, task trees, and multi-agent compose mode. 12K+ stars, MIT.
- mini-coding-agent
Sebastian Raschka's minimal, readable Python coding agent harness. Explains the core components of coding agents in a small, hackable codebase.
- Octomind
Open-source CLI coding agent with multiple model providers, MCP tools, and background execution.
- OMK
Open-source multi-agent coding CLI; switch models mid-session, finish goals when tests pass.
- Open SWE
LangChain's open-source async cloud coding agent. Connects to GitHub repos, delegates tasks from issues via Slack or Linear.
- OpenBitFun
Cross-platform desktop agent for coding, Git, browser, terminal, and remote workspaces.
- OpenClacky
Token-efficient open-source AI coding agent with prompt caching, 16 core tools, and skill extensions. MIT.
- OpenCode
Open-source AI coding agent. Works in terminal, IDE, or desktop with any LLM.
- OpenHands
AI software development agent (formerly OpenDevin).
- OpenHands Software Agent SDK
Modular Python SDK for building code agents. Local or ephemeral workspaces, composable tools, powers OpenHands CLI and Cloud.
- Orbi
Takes a labeled GitHub issue to a reviewed pull request, merges only what a separate review session approved, and cuts the tagged release. AGPL-3.0.
- Orca
Open-source desktop agent IDE that runs 30+ coding agents (Claude Code, Codex, OpenCode, etc.) side by side in isolated git worktrees. Terminal splits, embedded Chromium, SSH remotes, and GitHub/Linear integration. YC-backed, MIT.
- pi
AI agent toolkit bundling a unified LLM API, agent loop, TUI, and coding agent CLI in one package. 91K+ stars, MIT.
- Prime Agent
Prime Intellect's self-improving RLM agent for coding workflows and long-horizon autonomous tasks. MIT.
- Proliferate
Open-source local and cloud agent IDE with parallel workspaces, subagents, plugins, and MCP.
- Qwen Code
Alibaba's open-source terminal-native AI coding agent. Powered by Qwen models with MCP support, 25K+ stars, and Apache-2.0 license.
- SWE-agent
Princeton's software engineering agent.
- Windsurf
AI-native IDE by Codeium with agentic Cascade flows.
Personal AI Agents
- Hermes Agent
Nous Research's open-source self-improving personal AI agent. Closed learning loop, multi-platform gateway (Telegram, Discord, Slack, WhatsApp, Signal), MCP integration, and cron scheduling.
- Mercury Agent
Soul-driven personal AI agent with permission-hardened tools, token budgets, and multi-channel access (CLI or Telegram). MIT.
- nanobot
HKU Data Science Lab's ultra-lightweight personal AI agent. Keeps the core small and readable while shipping a full workbench: WebUI, sustained goals, MCP, image generation, multi-channel (Telegram, Signal, Matrix), and multi-provider model routing. Released v0.2.1 (June 2026).
- Octop
Tencent Cloud's self-hosted, multi-user AI assistant for households and small teams. Each user gets a personal team of specialist agents behind one process: web dashboard, CLI, desktop apps, cron, and IM channels (Telegram, Discord, Feishu, DingTalk, WeChat, WeCom, QQ). MCP connectors, ACP delegation to Claude Code or OpenCode, tool approval, shell guardrails, and PII redaction. MIT, beta.
- OneBox
Open-source Android personal AI agent driving 90+ in-app tools via natural language. Apache-2.0.
- OpenClaw
Open-source personal AI agent with tool use, browser control, messaging integration, and persistent memory.
- OpenHuman
Local-first personal AI agent with 118 OAuth integrations, hierarchical memory tree, and TokenJuice compression. Runs entirely on-device.
- QwenPaw
Alibaba's Qwen-powered personal AI agent workstation. Local or cloud deployment, multi-agent collaboration with sub-agent spawning, extensible skill system, and broad channel support (DingTalk, Feishu, WeChat, Discord, Telegram). MIT.
- Trustclaw
ComposioHQ's self-hostable personal AI agent with vector memory, native Composio tool integrations, and a Telegram front-end. MIT.
Browser Agents
- agent-browser
Vercel Labs' native Rust browser automation CLI for AI agents. Accessibility-tree snapshots with stable @ref targets, traditional selectors, annotated screenshots, and clicks that fail early when a banner or modal covers the target. Installs via npm, Homebrew, or Cargo; no Playwright or Node.js needed at runtime. Apache-2.0.
- ARTEMIS
Google's natural-language Android automation agent that drives real phones like a human. Observe-and-act loop with element, coordinate, and visual targeting; native MCP server so Claude Code, Codex, Cursor, or Antigravity can run device tests and collect Logcat and screenshots. Reports 99%+ on AndroidWorld. Apache-2.0.
- Browser Use
Control browsers with AI agents. Most popular browser automation framework.
- BrowserOS
Open-source agentic browser and alternative to ChatGPT Atlas, Perplexity Comet, and Dia. Runs agents locally against your own browsing session. AGPL-3.0.
- BrowserSkill
Tencent's CLI and browser extension that lets AI agents drive your real, logged-in browser without interrupting your work. Works with any shell-capable agent (Claude Code, Codex, Cursor, OpenClaw). MIT.
- Chrome DevTools MCP
Chrome DevTools team's MCP server and CLI that lets coding agents (Claude Code, Cursor, Copilot, Antigravity) drive and inspect a live Chrome: performance traces with actionable insights, network and console inspection with source-mapped stack traces, screenshots, and Puppeteer-backed automation that waits for action results. Usage statistics are on by default (--no-usage-statistics to opt out). Apache-2.0.
- Moli
Production-ready headless browser for AI agents, built in Rust. On-demand layout and rendering keep a full browser runtime at a light resource footprint; drive it via CLI, CDP, WebDriver Classic, or WebDriver BiDi on Linux, macOS, and Windows. Apache-2.0.
- Playwright MCP
Microsoft's MCP server for browser automation with Playwright.
- Stagehand
AI-powered browser automation framework by Browserbase.
- UI-TARS Desktop
ByteDance's multimodal AI agent stack for desktop automation.
Research Agents
- autoresearch
Andrej Karpathy's open-source framework for running AI agents that autonomously conduct research on single-GPU model training experiments overnight.
- GPT Researcher
Autonomous agent for deep research on any topic using any LLM.
- OpenResearch
alphaXiv's local-first harness and desktop workspace that turns coding agents (Claude Code, Codex, OpenCode, Cursor, Antigravity) into research agents. Literature search across alphaXiv, bioRxiv, and PubMed; experiments on local or remote compute (SSH, Slurm, Kubernetes, Modal, Ray, Hugging Face Jobs); and a local SQL record of every experiment so agents can learn from past runs. MIT.
- Vane
Formerly Perplexica. Open-source AI-powered answering engine (Perplexity alternative).
Platforms & Low-Code 21
- Activepieces
Open-source AI workflow automation with 400+ MCP servers for agents.
- Agent Barn
Open-source (Apache-2.0) control plane for AI agents: teams talk to agents in Slack, Teams, Telegram
- Amazon Bedrock Agents
AWS managed agent service.
- Anthropic Claude + Tool Use
Claude's function calling and agent capabilities.
- AnythingLLM
All-in-one desktop & Docker AI app with built-in RAG, agents, and MCP.
- Azure AI Foundry
Full-stack AI platform with agent capabilities.
- Claude Managed Agents
Anthropic's hosted agent execution environment (public beta, April 2026). Stateful sessions, built-in sandboxing, and tool execution without managing your own infrastructure.
- Composio
1000+ toolkits, auth management, and sandboxed workbench for AI agents.
- Dify
Open-source LLMOps platform with visual agent builder.
- Google Gemini Enterprise Agent Platform
Google Cloud's agent development platform (formerly Vertex AI Agent Builder).
- LazyMind
Self-hosted skill runtime for workflows with persisted state and artifacts.
- MaxKB
Open-source platform for building enterprise-grade agents.
- Microsoft Copilot Studio
Low-code agent builder. Integrates with M365, Dynamics, Power Platform.
- n8n
Workflow automation with native AI agent capabilities and MCP support.
- Open Design
Open-source vibe design workspace where your coding agent becomes the design engine. Prototypes, landing pages, dashboards, slides, images, and video with HTML/PDF/PPTX/MP4 export. Supports Claude Code, Codex, Cursor, Gemini, OpenCode, and 20+ CLIs. Apache-2.0.
- OpenAI Assistants API
OpenAI's managed agent platform with tools and retrieval.
- OpenBot
CopilotKit's self-hosted platform for AI coworkers that each get their own containerized computer — a real browser with its own logins, files, and only the tools you grant. Every tool call routes through one gateway that decides and audits it before acting. Built on the AG-UI protocol, so LangGraph, Mastra, CrewAI, PydanticAI, and Google ADK agents plug in unchanged. MIT, alpha.
- OpenConnector
Open-source connector and auth gateway for AI agents, an alternative to Pipedream and Composio. Connect user app accounts once, then expose 1,000+ providers and 10,000+ prebuilt Actions via SDK, CLI, MCP, HTTP, and OpenAPI. Self-host on Docker/Node with SQLite or Postgres, or use the hosted runtime. Apache-2.0.
- Relevance AI
No-code AI agent platform.
- Trigger.dev
Build and deploy fully-managed AI agents and workflows.
- Viglet Turing ES
Open-source enterprise-search platform with RAG chat and AI agents over your own content; faceted/hybrid search on a pluggable Solr/Elasticsearch/Lucene backend. Self-hostable, Apache-2.0.
Agent Infrastructure 76
Tool Protocols
- Agent2Agent Protocol (A2A)
Google's open protocol for agent-to-agent communication and discovery. Linux Foundation project.
- Context7
MCP server for up-to-date code documentation for LLMs.
- FastMCP
The fast, Pythonic way to build MCP servers and clients. The standard framework underlying much of the official Python MCP SDK, with auth, deployment, and testing tooling built in.
- Git-Native Agent Protocol (GNAP)
Serverless protocol for coordinating AI agent teams via 4 JSON files in a shared git repo (agents, tasks, runs, messages). No database, no vendor lock-in — any agent that can git push can participate. MIT.
- GitHub MCP Server
GitHub's official MCP server for AI agents.
- Model Context Protocol (MCP)
Anthropic's standard for connecting AI to tools and data.
- OpenAI Function Calling
De facto standard for LLM tool use.
Agent Skills & Tools
- addyosmani/agent-skills
Addy Osmani's production-grade engineering skills for coding agents, mapped to the development lifecycle through 9 slash commands (/spec, /plan, /build, /test, /review, /ship). Skills also auto-activate by task; installs into 70+ agents via the open skills CLI. MIT.
- code-review-graph
Local-first code intelligence graph for MCP and CLI. Builds a persistent Tree-sitter map of the codebase so coding agents read only the "blast radius" of a change, with benchmarked ~82x median token reduction on review tasks across 30+ languages. Auto-configures Claude Code, Codex, Cursor, Gemini CLI, Kiro, and Copilot. MIT.
- codegraph
Pre-indexed code knowledge graph for coding agents (Claude Code, Codex, Cursor, Gemini CLI). Fewer tokens, fewer tool calls, 100% local.
- dotnet/skills
Microsoft .NET team's curated skills and custom agents for AI coding agents. Core .NET, EF data access, diagnostics, MSBuild, and NuGet plugins.
- ECC
Agent harness performance system for Claude Code, Cursor, Codex, OpenCode, Gemini, and Zed. Ships 63 specialized agents, 251 skills, continuous learning with session memory hooks, and AgentShield security hardening. MIT.
- Elephant-Goldfish Model (EGM)
Google's open-source skills plugin for spec-first design with coding agents: a deep-context "elephant" agent drafts the specification, zero-context "goldfish" subagents review it to expose unstated assumptions. Plugins for Claude Code, Codex, and Antigravity. Apache-2.0.
- Google Agents CLI
CLI and skill pack that turns any coding assistant (Claude Code, Codex, Gemini CLI, Cursor) into an expert at creating, evaluating, and deploying AI agents on Google Cloud.
- Graft
Open-source context layer that builds a code knowledge graph so coding agents read only the blast radius of a change. Nanonets reports 46% fewer tool calls, 42% token savings, and +12 points correctness against cold Claude Code. MCP server, graft grep/graft map/graft viz CLI, monorepo support, and a PR blast-radius review GitHub App. MIT.
- Graphify
/graphify skill and CLI that maps a codebase plus its docs, SQL schemas, PDFs, and media into a queryable knowledge graph, so coding agents query paths and concepts instead of grepping. Code is parsed locally with tree-sitter (no LLM, no vector store), and every edge is tagged EXTRACTED or INFERRED. Works with Claude Code, Codex, Cursor, Gemini CLI, Copilot, and 20+ more; optional MCP server. Apache-2.0.
- NotFair
Open-source Claude Code agent skills for SEO and paid ads, connecting to live data via Google Ads MCP, Meta Ads MCP, Google Search Console MCP, and Google Analytics (GA4) MCP.
- npmscan
Agent plugin and MCP server that checks npm packages for malware and vulnerabilities before install.
- Oh My Hermes
Hermes Agent workflow plugin with project memory and task-specific model and reasoning routing.
- olcli
Overleaf CLI for AI coding agents. Sync, pull, push, and compile LaTeX projects from the command line.
- OpenWiki
LangChain's CLI that writes and maintains a linked Markdown wiki of your codebase for coding agents. Tracks each fact back to source evidence so updates only touch what changed, and links wikis across related repos for search over MCP. Integrates with Codex, Claude Code, OpenCode, Cursor, GitHub Copilot CLI, Kiro, and Pi. MIT.
- PlaceCall
Agent skill and MCP server that phones US businesses and returns the outcome and transcript.
- ponytail
Agent skill that pushes coding agents toward the smallest working solution instead of over-building. Installs as a plugin or rules file across 20 agents (Claude Code, Cursor, Codex, and more). Benchmarked against a no-skill baseline on real agentic sessions: ~54% less code and ~22% fewer tokens with every safety guard intact. MIT.
- PowerSkills
PowerShell automation toolkit for AI agents. Structured JSON control over Windows — Outlook, Edge browser, desktop, and system operations.
- re_gent
Version control purpose-built for AI coding agent activity. Auto-captures every agent turn (Claude Code, Codex, OpenCode) as an inspectable step, with rgt log, rgt blame, and rgt show for auditable, prompt-level history alongside your existing git workflow.
- sandbaseai/sandbase-harness
Self-hosted agent runtime with MCP tools, sandboxed execution, sessions, approvals, audit trails, and replay.
- Screenpipe
Local computer history that gives AI agents searchable screen and audio context.
- Superpowers
Agentic skills framework and software development methodology for coding agents. Enforces design-before-code, tests-before-features workflows. Works with Claude Code, Codex, Gemini CLI, OpenCode, Cursor, and GitHub Copilot.
- Tapetide MCP
MCP server giving agents Indian stock market data for about 8,200 NSE and BSE stocks.
- Xquik
Agent skill and MCP server for X data workflows.
Memory & State
- agentmemory
Persistent cross-session memory for coding agents (Claude Code, Codex, Copilot CLI, Cursor, Gemini CLI, OpenCode, pi, Hermes, OpenClaw, or any MCP client). Hybrid BM25 + vector + graph retrieval over local SQLite with no external database; keyless mode or free on-device embeddings; reproducible LongMemEval-S harness. Apache-2.0.
- Busabase
Open-source database and workspace for agents with persistent context and permission-aware, auditable ChangeRequests.
- claude-mem
Cross-session persistent memory for AI coding agents. Captures session activity, compresses it with AI, and injects relevant context into future sessions. Works with Claude Code, OpenClaw, Codex, Gemini, Hermes, Copilot, and more. Apache-2.0.
- funes
Durable, searchable memory of past agent sessions. Indexes Claude Code, Codex, pi, and Hermes; recall over MCP; publish as a Hugging Face dataset. Apache-2.0.
- Headroom
Context compression layer for AI agents. Reduces tool outputs, logs, RAG chunks, and files by 60–95% before they reach the LLM—without loss of answer quality. Library, proxy, and MCP server modes; reversible compression; supports Claude Code, Codex, Cursor, and Aider.
- Hindsight
Agent memory that learns: state-of-the-art memory layer for AI agents with persistent, personalized recall.
- LeanCTX
Single-binary Rust context layer between AI coding agents and their environment. Compresses file reads and shell output, caches results, keeps persistent session memory, enforces path-jail security, and tracks token budgets. MCP-native with 30+ agent compatibility. Apache-2.0.
- Letta
Stateful agents with long-term memory (formerly MemGPT).
- Lobu
Shared company context, identities, approvals and governed actions for AI agents.
- Mem0
Universal memory layer for AI agents. Persistent, contextual.
- Memori
Agent-native memory infrastructure. LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems.
- MemPalace
Local-first agent memory that stores conversation history verbatim (no summarizing or extraction) and retrieves it with scoped semantic search over a wings/rooms/drawers index. Pluggable backends (ChromaDB default; SQLite, Rust, Milvus, Qdrant, pgvector), MCP server, and mining of Claude Code sessions; reports 96.6% R@5 on LongMemEval with zero API calls. MIT.
- OpenViking
Self-evolving context database for AI agents unifying agent memory, knowledge RAG, and skills; includes a portable Agent Plugins package format (agent-plugins.org). AGPL-3.0.
- ReMe
Alibaba's memory management kit for agents (formerly MemoryScope). File-based and vector-based memory with a dynamic procedural memory framework.
- SoL-Pi
NVIDIA Research's token-efficiency extension for the pi coding agent, discovered through scaled auto-research loops (paper). Four opt-in mechanisms: edit-plus-validation fused into one tool call, paged handles for large repeated observations, compact log receipts whose every quotation is verified against the archived source, and plan-aware context compaction. No pi patches required. MIT.
- tigerless-labs/agent-memory
Long-term memory runtime for any agent where plain Markdown files are the source of truth and the SQLite FTS5 index is a rebuildable cache. Recall returns ranked file paths instead of pasted text, writes fire automatically at conversation boundaries, and a sleep-time pass consolidates memories but only ever proposes deletions. One store shared across Claude Code, Codex CLI, Hermes, and any shell-capable agent; no API keys. MIT, v0.1.0 (install from source).
- token-optimizer
Token and context optimizer for coding agents: cuts wasted tokens and survives compaction.
- TokenEconomizer
Microsoft Research and UC Berkeley's black-box cost control for coding agents. Learns repository "micro-skills" from past sessions, prunes unused tools, and interrupts failure loops; reports 18–31% lower cost on SWE-Bench without changing the agent. Apache-2.0.
- Zep
Long-term memory for AI assistants.
Monitoring & Observability
- Arize Phoenix
ML & LLM observability.
- Bifrost
Open-source, OpenAI-compatible AI gateway with multi-provider routing, fallbacks, MCP, and observability.
- Future AGI
Open-source, end-to-end, self-hostable platform for evaluating, observing, and improving LLM and AI agent apps. Tracing, evals, simulations, datasets, gateway, and guardrails in one stack.
- Helicone
LLM observability and cost tracking.
- Langfuse
Open-source LLM observability. Traces, evals, prompt management.
- LangSmith
LangChain's debugging and monitoring platform.
- OrcaReplay
Records a coding-agent run below the harness and replays it offline byte-for-byte, or forks it from a checkpoint onto another model.
Data Extraction
Vector Databases
- Azure AI Search
Enterprise search with vector + hybrid capabilities.
- ChromaDB
Lightweight embedding database.
- Pinecone
Managed vector database.
- Qdrant
High-performance vector search.
- Weaviate
Open-source vector database.
Sandboxing & Execution
- AgentBox
Run multiple coding agents (Claude Code, Codex, OpenCode) in parallel, each in its own sandboxed VM across local Docker, self-hosted, or cloud (Hetzner, Daytona, Vercel, E2B). Sub-1s checkpoints, per-box browser/VS Code/shells. MIT.
- AgentENV
Distributed platform for running agent environments at scale. Standardized, reproducible sandboxed environments for agent execution, evaluation, and RL training workloads. MIT.
- CubeSandbox
Tencent Cloud's instant, concurrent, secure, and lightweight Rust-based sandbox for AI agents. Sub-second cold start with strong isolation for tool execution and code interpreters.
- Daytona
Secure and elastic infrastructure for running AI-generated code.
- E2B
Cloud sandboxes for AI agents. Secure code execution environments.
- forkd
fork() for AI agent microVMs. Spawn 100 children in ~100ms from a warm parent, BRANCH a live VM in ~150ms. KVM-isolated with snapshot copy-on-write. Apache-2.0.
- GitHub Agentic Workflows
AI agents running within GitHub Actions. Markdown-based workflow definitions.
- Mirage
Unified virtual filesystem for AI agents. Gives agents a consistent, sandboxed view across local, cloud, and ephemeral storage. Apache-2.0.
- Moltworker
Cloudflare's open-source framework for deploying personal AI agents on Workers with sandboxed execution.
- NemoClaw
NVIDIA's open-source reference stack for running always-on agents (OpenClaw, Hermes) more securely inside NVIDIA OpenShell sandboxes. Provides guided onboarding, hardened blueprints, routed inference, network policy, and lifecycle management via a single CLI. Announced at GTC Taipei (June 2026).
- Sandbox Runtime
Anthropic's lightweight, container-free OS-level sandboxing tool enforcing filesystem and network restrictions on arbitrary processes. Built for Claude Code, released as an open-source research preview to help the ecosystem build safer agentic systems.
- SmolVM
Open-source microVM sandbox infrastructure for code execution, browser use, and AI agents. macOS/Linux support, snapshotting, pause/resume, and persistent environments across turns. Apache-2.0.
- SPACE
Perplexity's self-hosted Sandboxed Platform for Agentic Code Execution. Runs agent and user code in isolated Firecracker microVMs behind an HTTP/SSE API, with templates, pause/suspend/wake, Kubernetes warm pools, snapshot restore, and an E2B compatibility wrapper so the E2B Python SDK works against it. Deploys locally on Kind or via a reference EKS setup. Rust, Apache-2.0, pre-1.0.
Evaluation & Testing 12
- agent-qa
Self-improving QA agent for natural-language web/mobile regression tests with memory, MCP, and skills.
- AgentBench
Tsinghua's multi-dimensional agent benchmark.
- AgentBoard
Multi-round agent evaluation platform.
- ClawBench
Live-site benchmark for browser agents completing everyday online workflows.
- ExploitGym
Large-scale benchmark built from real-world CVEs for evaluating whether AI agents can develop working exploits. From UC Berkeley's Sunblaze lab. Apache-2.0.
- GAIA
General AI Assistants benchmark by Meta.
- LangTest
Testing framework for delivering safe & effective language models.
- RuLES
Benchmark for evaluating rule-following in language models.
- SWE-bench
Benchmark for software engineering agents.
- ToolBench
Benchmark for tool-use capabilities.
- ToolEmu
LM-based emulation framework for identifying risks of agents with tool use (ICLR '24).
- UQLM
Uncertainty quantification for LLMs. UQ-based hallucination detection.
Safety & Governance 16
- Agent Governance Toolkit
Microsoft's runtime governance infrastructure for AI agents. Deterministic policy enforcement, zero-trust identity, execution sandboxing, and SRE. Covers all 10 OWASP Agentic Top 10 risks across Python, TypeScript, .NET, Rust, and Go.
- Agentic Security
LLM vulnerability scanner and AI red teaming kit.
- Anthropic Constitutional AI
Self-improving AI safety through constitutions.
- Azure AI Content Safety
Content moderation for AI outputs.
- Deepsec
Vercel Labs' security harness for finding vulnerabilities in your codebase powered by coding agents. Apache-2.0.
- Gram
MCP control plane with role-scoped access, policies, threat detection, and searchable audit events.
- Guardrails AI
Validation framework for LLM outputs.
- IronCurtain
Open-source security layer for autonomous AI agents. Runs agents in isolated VMs to prevent prompt injection and rogue behavior.
- LangFair
Python library for LLM bias and fairness assessments.
- NeMo Guardrails
NVIDIA's programmable guardrails.
- Numbat
Perplexity's endpoint visibility tool for AI agent activity. On-device detection, optional pre-action blocking, and forensic reconstruction of what an agent did. Apache-2.0.
- open-kritt
Self-hosted vulnerability research platform that orchestrates AI agents to find and validate security issues in code. Reusable workflow playbooks, parallel focused scans via Codex or Claude Code, de-duplicated and severity-ranked findings, and PoC/report export. Bring your own model access (OpenAI, Anthropic, OpenRouter, xAI). AGPL-3.0.
- PromptInject
Framework for quantitative analysis of LLM robustness to prompt attacks (NeurIPS '22 Best Paper).
- repo-forensics
Offline security scanner for AI-agent repos, skills, plugins, and MCP servers.
- Safe RLHF
Constrained value alignment via safe reinforcement learning from human feedback.
- SkillSpector
NVIDIA's security scanner for agent skills: answers whether a skill is safe to install before you install it. 71 vulnerability patterns across 17 categories (prompt injection, data exfiltration, supply chain, MCP tool poisoning), static plus optional LLM semantic analysis, live OSV.dev CVE lookups, and terminal/JSON/Markdown/SARIF reports. Part of the NVIDIA Verified Skills pipeline. Apache-2.0.
Research Papers 17
Surveys & Overviews
- The Rise and Potential of Large Language Model Based Agents (2023)
Comprehensive survey of LLM-based agents.
- A Survey on Large Language Model based Autonomous Agents (2023)
Systematic review of agent architectures.
- Agent AI: Surveying the Horizons of Multimodal Interaction (2024)
Microsoft Research survey on agent AI.
Agent Architectures
- ReAct: Synergizing Reasoning and Acting (2023)
The foundational Reason + Act paradigm.
- Toolformer (2023)
Teaching LLMs to use tools autonomously.
- Voyager (2023)
Lifelong learning agent in Minecraft.
- Generative Agents (2023)
Stanford's believable simulacra of human behavior.
- Tree of Thoughts (2023)
Deliberate problem solving through exploration of reasoning paths.
- Self-Refine (2023)
Iterative self-refinement with self-feedback.
Multi-Agent Systems
- CAMEL (2023)
Communicative agents for role-playing.
- MetaGPT (2023)
Multi-agent collaboration mimicking software companies.
- ChatDev (2023)
Agents collaborating in a virtual software company.
- PaperOrchestra (2026)
Google's multi-agent framework for automated AI research paper writing, converting unstructured pre-writing materials into submission-ready papers.
Safety & Evaluation
- AgentBench (2023)
Evaluating LLMs as agents across 8 environments.
- InjectAgent (2024)
Indirect prompt injection attacks on tool-integrated agents.
- R-Judge (2024)
Benchmarking safety risk awareness for LLM agents.
Agent Training
- Group-in-Group Policy Optimization for LLM Agent Training (2025)
RL-based training for LLM/VLM agents.
Tutorials & Courses 10
- agent-rules-books
AGENTS.md rules and skills for AI coding agents (Codex, Cursor, Claude Code) inspired by Clean Code, Refactoring, DDD, Clean Architecture, and DDIA.
- DeepLearning.AI: A2A Protocol
Short course on Google's Agent2Agent protocol.
- DeepLearning.AI: Building Agentic RAG
Andrew Ng's course on agentic RAG patterns.
- Hugging Face: Building AI Agents
Open course on agent development.
- LangChain Academy
Free courses on agents and RAG.
- Microsoft: AI Agents for Beginners
12 lessons to get started building AI agents.
- Microsoft: AI Engineering Coach
Microsoft's open-source curriculum and tooling for "better agentic engineering" — patterns, practices, and exercises for building production-quality AI agents.
- Microsoft: Build AI Agents with Azure AI Foundry
Official Microsoft Learn path.
- Microsoft: MCP for Beginners
Curriculum for Model Context Protocol with cross-language examples.
- Prompt Engineering Guide
Comprehensive guides for prompt engineering, RAG, and AI agents.
Community 4
- r/AI_Agents
Reddit community
- AI Agents Discord
Active Discord server
- awesome-ai-agent-papers
Curated collection of AI agent research papers released in 2026, covering engineering, memory, evaluation, workflows, and autonomous systems.
- #AIAgents on X
Twitter/X hashtag