Agent frameworks

A governance standard and reference toolset that defines the rules, evidence requirements and decision boundaries for repositories whose content is maintained by LLM agents.

• Agent frameworks

A Rust SDK that provides every building block of a production coding agent, tool execution, LLM streaming, sub-agent orchestration, persistent memory, skills and MCP integration, as composable library functions rather than a fixed CLI app.

• Agent frameworks

An autonomous, multi-agent AI research loop that reads real literature, forms a hypothesis, runs real machine-learning experiments on a single GPU, reflects on the results, and drafts a peer-reviewed write-up, with guards against reward-hacking.

• Agent frameworks

A modular, token-efficient AI agent framework, written from scratch in Python, built for local models with a small system prompt and hard, code-enforced limits on what the AI can do, rather than relying on prompt engineering for safety.

• Agent frameworks

A local-first stack that turns a coding agent such as Cursor, Claude Code or Codex into a personal AI assistant for office work, using the browser sessions, desktop apps and tool access a person already has, with no new company platform to approve.

• Agent frameworks

The A2A Go SDK is an official Go library for building agentic applications that serve or consume the Agent2Agent protocol, with client and server APIs across gRPC, REST and JSON-RPC transports.

• Agent frameworks

A self-hosted, single-conversation AI agent framework that keeps one continuing conversation thread instead of separate chats, using asynchronous processing and self-directed context management to build long-term continuity and memory.

• Agent frameworks
• Agent memory

A lightweight, cross-environment general-action agent that completes real digital tasks spanning a browser, desktop applications and the command line, coordinated by a TeamLeader that dispatches to specialized Workers.

• Agent frameworks
• Browser automation

A general-purpose AI agent framework and app for building, running and composing self-contained agents and multi-agent teams, with built-in tools, sub-agents, persistent sessions, a TUI and a web UI.

• Agent frameworks

A local-first service that gives AI agents "playbooks": portable sets of MCP tools, prompts and configuration that can be switched in and out of context and connected to Claude, Cursor or VS Code with one click.

• Agent frameworks
• MCP servers

A modular reference application in which several AI agents, orchestrated by LangChain.js, LlamaIndex.TS and Microsoft Agent Framework, handle travel-agency customer queries, destination recommendations and itinerary planning through MCP servers.

• Agent frameworks
• MCP servers

A Python library that provides an actor-model framework for connecting AI agents with traditional software systems, so developers can build custom agent-integrated applications on a minimal foundation.

• Agent frameworks

An experimental platform for long-horizon workflow automation with teams of AI assistants, supporting OpenAI, Google, Anthropic and self-hosted open-weight models through a visual workflow editor and MCP tools.

• Agent frameworks
• Workflow automation

The A2A Java SDK is an official Java library for building and running agentic applications as Agent2Agent protocol servers and clients, with JSON-RPC, gRPC and REST transport support.

• Agent frameworks

A lightweight, CLI-first orchestration layer that runs a chosen set of AI coding agents and models on the same task in parallel, keeps each answer opaque and separate, and lets a developer compare them before acting.

• Coding agents
• Agent frameworks

A Python domain-specific language for designing and running surveys and experiments with many AI agents and language models at once, for computational social science and market research.

• Agent frameworks

A multi-agent system framework for building large-scale, LLM-driven social simulations, supporting agents added or removed at runtime, live intervention during a run, and verification of agent behavior against model outputs.

• Agent frameworks

A file-first framework that turns a research goal into a recoverable, inspectable run, organizing focused skills into explicit workflows and preserving intermediate artifacts, evidence and decisions at every step.

• Agent frameworks
• Agent skills

A curated list of tools, frameworks and resources for agent harness engineering: designing the environments, constraints and feedback loops that make AI coding agents reliable at scale.

• Agent frameworks
• Curated lists

A macOS assistant that runs a local language model every night to turn the user's files, messages and screenshots into a private knowledge base, then proactively drafts and finishes tasks the next morning.

• Agent frameworks
• Agent memory

A headless, library-first Rust SDK for embedding a complete OpenAI coding-agent loop, including retained sessions, typed history, tools, branches and retries, into other products.

• Agent frameworks

A self-hosted AI agent harness distributed as a single Go binary that writes, sandbox-tests and repairs its own tools, then shares them with Claude Code, Codex and other MCP clients.

• Agent frameworks

An open-source, unofficial multi-agent operating layer built around the Claude Code CLI that organizes 38 specialized business and engineering agents, runs routines, and consolidates their output into a dashboard.

• Coding agents
• Agent frameworks

An intent-driven workflow orchestration tool for multi-agent AI development that plans, executes and verifies coding tasks across Claude Code, Codex, Gemini and other agent backends, with a self-reinforcing knowledge graph.

• Coding agents
• Agent frameworks