“writing agent”

Small Python library whose agents write their actions as code, with sandboxed execution and tools from MCP servers, LangChain or the Hub.

Open-source framework that routes each user query to one of several AI agents, with Python, TypeScript and Swift runtimes.

CLI-first Python agent framework and coding agent with MCP, A2A and Agent Skills support, live streaming and human input.

Python interface for running and evaluating agents from several frameworks, with OpenTelemetry traces; now in soft deprecation.

Reinforcement-learning trainer of about 3,500 lines that trains models behind agents run in their own harnesses, locally or as Kubernetes jobs.

Lightweight Python agent framework for long-running tasks, with skills, sub-agents, A2A and ACP servers, and CLI, TUI and web front ends.

Python framework for MCP-based agents with composable workflow patterns, MCP server creation and Temporal-backed durable execution.

Python framework for LLM applications built on Qwen models, with function calling, MCP, a code interpreter and RAG options.

Python SDK for building agents on Google Antigravity and Gemini, with the agent loop handled by the runtime.

Python framework for writing language-model programs as code and optimizing their prompts and weights instead of hand-tuning prompts.

Browser DOCX editor and document engine built on OOXML, with a Document API that agents reach through SDKs, a CLI and an MCP server.

Framework for building, running and evaluating autonomous agents, with a planner-based multi-agent mode, skills and agent RL training.