Frameworks & SDKs tools for Claude / Anthropic

Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs

Open-source browser agent (Python and TypeScript) whose loop injects serialized DOM state each step, exposes browser actions as registered tools, and runs the same code against a local Chrome or a cloud browser. It has grown from a minimal reference into a full framework (~70k lines of Python across agent, DOM, tools, MCP, and sandbox modules) — study it for production DOM-to-context serialization

ByteDance's open-source SuperAgent harness built on LangGraph: orchestrates sub-agents with isolated contexts, persistent multi-tier memory, Docker/K8s sandbox execution, and on-demand skill loading for long-horizon tasks that span minutes to hours. A concrete reference for composing supervisor coordination, scoped delegation, and real execution environments into a single deployable harness

by Anthropic - Anthropic's official, curated directory of high-quality Claude Code plugins, installable from within Claude Code

(31.1k ⭐) - Reference agents, skills, and data connectors for the financial-services workflows

Your AI second brain. Self-hostable. Get answers from the web or your docs. Build custom agents, schedule automations, do deep research. Turn any online or local LLM into your personal, autonomous AI (gpt, claude, gemini, llama, qwen, mistral) github | website

(20.6k ⭐) - Open source repository of plugins primarily intended for knowledge workers to use in Claude Cowork & Claude Code

Beads - A memory upgrade for your coding agent

Official Agent Skills specification and documentation repository

June 2026 harness-first redesign built around the Capability primitive: a single composable unit bundling instructions, tools, lifecycle hooks, and model settings. The split between a small stable core and a fast-moving pydantic-ai-harness lets capabilities graduate as they prove essential, while deferred loading keeps unused tools out of the context window

Self-healing browser harness that connects an LLM directly to your real Chrome via CDP. The critical design decision: the agent itself writes missing helpers and domain skills into the harness during execution, so the scaffold improves every run rather than requiring manual updates. At ~1k lines across four core files, it is the clearest published demonstration of an editable harness that learns f

Gorilla - Training and Evaluating LLMs for Function Calls (Tool Calls)

YC-backed production harness that compiles multi-agent objectives into deterministic execution DAGs with state persistence, crash recovery, cost enforcement, and human-in-the-loop oversight. The most complete open-source reference for running agent workloads in production rather than demos

AWS's open-source, model-driven agent SDK that treats the loop, tool binding, and guardrails as first-class primitives. Supports Bedrock, Anthropic, OpenAI, Gemini, and Ollama with native MCP, built-in observability, and multi-agent patterns — the missing AWS open-source harness framework alongside Bedrock AgentCore

(7.3k ⭐) - The official Python SDK for Claude Code

GPT Computer Assistant is an unofficial app that brings ChatGPT functionality to Windows and Linux, allowing for screen reading, microphone use, system audio interaction, clipboard management, script execution, and more github

AWS open-source framework for orchestrating specialist agents with intent routing and multi-agent collaboration patterns

(5.8k ⭐) - Skills for threat modeling, scanning, triage, patching, plus an autonomous scanning harness you can /customize

TypeScript-native multi-agent orchestration that automatically decomposes a natural-language goal into a task DAG, parallelizes independent nodes, and synthesizes results. With only three runtime dependencies, built-in MCP support, token budgets, retries, and context compaction, it is the lightest production-grade harness layer for Node.js backends

Superagent is an open-source AI assistant framework backed by Y Combinator, facilitating the integration of large language models (LLM) and generative AI into applications, supporting various use cases such as question answering, chatbots, and content generation github | github profile

by Anthropic - An official AI-powered security-review GitHub Action that uses Claude to analyze pull-request diffs for vulnerabilities

The Ruby AI framework.

A framework for Claude Opus to intelligently orchestrate subagents. github

177 production-ready SOUL.md configs across 24 categories (PM, SEO, DevOps, Writer, Support). Copy-paste ready for OpenClaw. Visual deploy via CrewClaw

Official Claude SDK. Tool use, computer control, streaming

The open-source managed agent platform: run durable AI agents on any model and any machine, from sandboxes to your own laptop, with MCP, skills, subagents, and human approvals. A self-hostable alternative to Claude Managed Agents and OpenAI's Agents API

🏆 Top-1 on 5+ benchmarks | Web UI | Supports MiroThinker, Claude, Kimi, OpenAI

(1.8k ⭐) - A tool for building Claude Code requirements

(1.4k ⭐) - A personal Claude Code Development Kit

(1.2k ⭐) - The ultimate AI development stack, including Claude Code, Task Master, and Curso

Terminal coding agent and Python agent framework built on Pydantic AI, with planning, sub-agents, MCP and optional Docker-sandboxed execution; works with any model, including local ones

Fast and elegant Typescript framework for building MCP servers

Autonomous agent framework that runs unattended on GitHub Actions, triggered by cron schedules or repository events. Dispatches skills to six coding-agent harnesses behind one contract (Claude Code, Grok, Codex, Pi, Vibe, Kimi), defines agent behavior as Markdown skills, persists memory in the git repository, evaluates its own run output to revise underperforming skills, and ships an MCP server ex

ClaudeSync is a Python tool that automates the synchronization of local files with Claude.ai Projects

Local-first database and workspace for AI agents that keeps structured data, durable knowledge, documents, files, skills, and apps in one searchable place. Agents connect through MCP, OpenAPI, CLI, or coding-agent skills, and material writes can remain reviewable ChangeRequests before becoming canonical

VERY LARGE AI TOOL LIST! 🔴 Curated list of AI Tools - Updated December 2024

Local-first, offline encrypted vector memory for AI agents over MCP or CLI, with AEAD-encrypted-at-rest records and embeddings, RAM-resident exact vector search, per-record crypto-shred deletion, and a hash-chained audit log. Apache-2.0, Python

Coordination protocol above Git: agents declare intent, semantic scope, and operation before writing code, deterministic rules raise findings when plans collide, and acceptance is gated on a verification run it executes itself. One Rust binary over local SQLite, with MCP for Claude Code, Codex, and Cursor.

Routes one coding thread across harnesses with quota-aware rotation between subscription profiles, Best-of-N runs, and cross-family review.

(476 ⭐) - TypeScript toolkit for agent-authored video, motion graphics, compositing, and 3D scenes, with native WebGPU rendering and video export

Swytchcode demo projects with different agents

Separate signer that allows, denies or holds each agent tool call for a person before it runs and records every call in an Ed25519-signed, hash-chained log that verifies offline; Python and TypeScript SDKs, framework integrations, coding-agent hooks and an MCP gateway

Self-hosted, open-source implementation of Anthropic's Managed Agents API. Wire-compatible with the official SDKs. Runs on Cloudflare Workers + Durable Objects or Node. Apache 2.0

Drop-in prompt compression for production LLM apps. Cut your token bill 40-60% without changing your code. Python SDK, LLMLingua-2, MIT.

Shared context, memory, and task coordination as a single Go binary over local SQLite with hybrid keyword and semantic search.

MCP gateway that scopes agent tool access by identity, team, and role, with security policy enforced on each action and an audit trail. Useful as a reference for putting authorization at the tool boundary instead of relying on model prompts to restrict access

Open-source context and control plane for AI agents. Connect company tools once and share permission-aware context across ChatGPT, Claude, Codex, OpenClaw and custom agents, with MCP, scoped identities, approvals and audit

Deploys versioned agents, skills, rules, and governed workflows into the native project paths used by Claude Code, Codex, Copilot, Cursor, and other coding agents.

(206 ⭐) - Configure models, enable tools, stream events, then fetch text, JSON, run details or token stats in one call via .asText() or .allowTools('Read', 'Write')

Multi-agent workflows and complex Agent interactions, both via YAML manifest and programmatic usage. Pydantic-AI and LiteLLM backends with human-in-the-loop integration

(177 ⭐) - Fast, intelligent quality checks for different project types

(170 ⭐) - A high-performance Rust implementation of an OpenAI-compatible API gateway for Claude Code CLI

Multi-provider AI agent framework that unifies 12+ LLM providers (OpenAI, Google, Anthropic, AWS, Azure, Groq, etc.) with workflow orchestration. Production-grade platform for building LLM applications with streaming, tool calling, caching, and enterprise features. Battle-tested at 15M+ requests/month

Enterprise-grade orchestration framework that coordinates multiple Gemini CLI instances for complex development tasks, based on battle-tested Claude Code Flow patterns

Visual prompt builder: decompose prompts into semantic blocks and compile them into Claude-optimized XML

Git-backed platform for skills, tools, and context for AI agents, available to Gemini CLI through a remote OAuth MCP server

Delegates a task to DeepSeek, Codex, or Claude from inside your current Claude Code or Codex session, returning the result automatically.

Self-hosted mission control for AI agents: manage agents, experiments, workflows, crews, skills and more

Self-hosted, multi-frontend agentic harness that runs one persistent agent across Telegram, Discord, Teams, and the terminal. Pluggable backends (Claude, OpenAI Agents, Codex, Kilo, OpenCode), full MCP tool access, and always-on background agents — Goals, Heartbeat, and Dream — backed by a long-term memory palace. MIT, TypeScript

Self-hosted AI agent platform (Apache-2.0): one chat routes work to a team of agents on any model or on your own Claude Code, Codex and GitHub Copilot CLI sessions, with Playbooks, multi-agent Missions, a task board, RAG and a Knowledge Graph

Persistent cross-session memory MCP server for 13+ AI coding tools. SQLite-backed state survives context resets and keeps Claude Code, Cursor, Gemini CLI, Codex, Windsurf, Amp, Kiro, VS Code Copilot, Trae, and more in sync. Install: npm install -g @egchq/egc

The team hivemind: persistent context recorded once and recalled across agents, machines, and teammates, as a Go CLI.

Anthropic's Model Context Protocol implementation for Oat++

Lightweight Python memory layer for LLM agents with importance scoring, temporal decay, 3-tier hierarchical memory, YMYL prioritization, and batch conflict resolution. Local-first with SQLite + FAISS. github | website | pypi

Integration layer that gives agents per-user OAuth and scoped tool access to 600+ connectors and 35,000+ tools, callable from LangChain, OpenAI Agents SDK, Claude, Hermes or any MCP client.

CLI-first control plane that turns one-off coding-agent calls into reviewable Markdown workflows spanning Claude Code, Codex, Gemini CLI, or Copilot CLI. Explicit artifact handoffs keep execution inspectable on disk, while validated completed nodes let failed workflows resume instead of starting over.

Give your Gemini CLI agent a wallet, email address, phone number, and 100+ paid MCP tools (web search, image gen, SMS, voice, LLM gateway). Self-register with gemini extensions install https://github.com/atxp-dev/atxp — no human login required, $5 free credits included

CLI tool that transforms any OpenAPI spec into 9 agent interface formats (MCP server, AGENTS.md, CLAUDE.md, .cursorrules, Skills, llms.txt, GEMINI.md, A2A Card, CLI) with a single command. Tiered generation strategies for small to large APIs

Watches your real local sessions and surfaces them in a live triage inbox, keeping a searchable record with line-level agent attribution. Claude Code, Codex, Cursor, Gemini.

MIT-licensed, provider-neutral TypeScript toolkit with 25 focused packages for runtimes, tools, skills, memory, RAG, sandboxing, observability, evaluation, React, terminal UI, and CLI, built on a dependency-free core

Open standard for agent-to-agent messaging with Ed25519-signed envelopes, federation across providers, and delivery that must be proven rather than assumed. Reference server, TypeScript SDK, and a Claude Code plugin.

Read an Obsidian vault directly from disk with compact payloads, no Local REST API plugin required

Type-safe, observable TypeScript AI agent framework on Effect-TS; MCP-native, A2A multi-agent, 6 reasoning strategies, runs the same code on local Ollama 4B+ and frontier APIs

A study assistant powered by Claude Opus. It provides various tools to assist with different tasks, such as researching,coding,note-takin…

Takes what a coding agent produces and commits each turn to git, recording the prompt, model, and that turn's token cost in the commit message, with the agent confined to its own worktree. Claude Code, Codex, and OpenCode.

A curated collection of awesome applications and tools that utilize large language models (LLMs) with retrieval-augmented generation (RAG…

Durable AI agent runtime with MCP client/server and A2A support: graph-based workflows, durable execution and multi-agent coordination, authored in Python

Security-first, self-hosted AI agent platform. Each agent runs in a gVisor sandbox with no network, behind a human approval gateway (deny-by-default); per-session message queues are encrypted with SQLCipher, and releases ship cosign signatures, SBOMs, and build-provenance attestations. AGPLv3, written in Go

Python SDK for Gemini CLI; API-compatible with Claude Code SDK

MIT-licensed context compactor for coding-agent transcripts (Claude Code, Codex CLI): moves spent tool outputs to a local content-addressed stash the agent can recall by hash, keeps user and assistant messages byte for byte, and writes a JSON report per pass; CLI, MCP server and Claude Code plugin, offline

Declares skills in YAML and pins exact revisions in a lockfile so installs are reproducible across Claude Code and Codex.

Lightweight Java library for building MCP servers using annotations. Annotation-driven development with only 12 dependencies, built-in tools (memory, todo, planner, file ops, bash, telemetry), multi-class modules support, and <500ms cold start

Gin-like Go framework for building MCP servers: struct-tag schemas, middleware, tool groups, Gin/OpenAPI/gRPC adapters, async tasks and an inspector UI

Python CLI that compiles contract-based YAML runbooks into SKILL.md files for Claude Code and Codex agents. Define multi-step agent workflows with loops, branching, parallelism, and file-based state passing — write the runbook once, generate executable SKILL.md with one command. pip install git+https://github.com/KnoxOps/agent-runbook.git

Python agent framework for building composable AI applications with structured tool calling, HITL via generators, and 50+ built-in evaluators. Runs entirely in browser via visual builder at selectools.dev

Runtime trust scanner for agent skills and tool use: a tested pattern library across 100+ attack categories (prompt injection, tool poisoning, MCP attacks, skill compromise; current counts in the README) plus a mechanism layer, shipped as a pip package, GitHub Action, and free web scanner with a published, reproducible precision/recall benchmark

Self-evolving AI agent framework with 8 specialized agents, SEED protocol (8-phase recursive self-improvement), knowledge transfer, and MMORPG progression. Supports 15 models across 7 providers. github | website

Persistent AI memory for coding assistants. Auto-captures decisions, patterns, and context across sessions. VSCode extension + CLI + MCP server. MIT licensed

Middleware framework for AI agents in TypeScript. Express.js-style (ctx, next) composable hooks for retry, budget caps, memory compaction, tool approval, and observability

#️⃣ ☁️ 🏠 🍎 🪟 🐧 - High-level framework for building MCP servers in .NET with OAuth 2.0/OIDC (6 providers), per-tool MFA, OpenTelemetry, and a native client

Claude Desktop extension with x402 USDC payments on Stellar and Base. Automatic 402 handling with configurable spending limits

Self-hosted Telegram agent that breaks down short videos locally (Whisper transcript, OCR, extracted commands, repos and links) and plans and builds what they show with open models, asking on the phone before each shell command

Lightweight observability and runtime guardrails for AI agents — loop detection, budget enforcement, cost tracking, and deterministic replay. Zero dependencies, LangChain integration

Minimal autonomous AI agent framework in a single Python file. Production-hardened through 80+ sessions of real autonomous operation with persistent memory, adaptive wake intervals, circuit breakers, and graceful degradation

TypeScript SDK with defineHook(), typed event payloads for all 5 hook events, response builders, and unit-testable .handle() method. Zero dependencies

Offline security scanner that protects any AI bot's skills: scans any skill folder with a SKILL.md (including Gemini CLI skills in ~/.gemini/skills/) for prompt injection, credential theft, and other risky patterns before you install it, with findings tagged by OWASP LLM Top 10 and OpenCRE ID. Reads files as data, never runs them, no telemetry. Run npx ironheights scan ./path/to/skill. Apache-2.0

Open-source TypeScript x402 stack for MCP on Solana. Includes SDK, CLI, paywall middleware, self-hostable facilitator, Eliza plugin. Live Claude Opus demo paying autonomously, on-chain settled in ~2s. MIT

MIT Python SDK that traces LLM calls, tool calls and agent steps as OpenTelemetry GenAI spans, with auto-instrumentation for OpenAI, Anthropic, LangChain, LlamaIndex, LiteLLM and MCP, and exports over OTLP to Rius or any OTLP-compatible backend

A Claude agent starter implementing the streaming tool-use loop in ~150 lines on Next.js with the official Anthropic SDK

Marketplace MCP server for paid HTTP APIs. 13 tools across discovery, buyer (auto 402→sign→retry), and publisher domains. Non-custodial, USDC on Base. Listed in the official MCP Registry. Install: npx -y @gatefare/mcp. (npm)