“typescript”

TypeScript toolkit for agents with Zod-typed tools, graph and multi-agent workflows, and Node.js or browser runtimes.

TypeScript SDK that gives programs Claude Code's built-in tools for reading, editing and running code, installed from npm.

Minimal TypeScript agent harness with an agent runtime, multi-provider LLM API, terminal UI and coding agent CLI that users extend themselves.

TypeScript platform to build and deploy long-running AI agents and workflows with retries, queues and human approval steps.

Open-source agent harness for stateful agents whose memory persists and improves with use, with a terminal UI, app server and TypeScript SDK.

DSPy-style toolkit for typed LLM signatures, agents and flows, TypeScript-first with Python, Java, C++, Go and Rust libraries.

TypeScript SDK for streaming chat, tool-calling agents and structured output across model providers and UI frameworks.

TypeScript agent framework on a Rust runtime, where runs are checkpointed, replayed with zero LLM calls and resumed after a crash.

Python and TypeScript framework for multi-agent systems, with MCP and A2A interop, YAML orchestration and OpenTelemetry tracing.

Open-source Python and TypeScript SDK for model-driven agents, with tools, MCP, multi-agent patterns and streaming.

TypeScript framework for AI agents and apps with graph-based workflows, memory, suspend-and-resume approvals, MCP servers and model routing.

SDK for browser agents with act, observe and extract calls, used from TypeScript and Python to automate sites and pull out structured data.

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

TypeScript toolkit for AI apps and agents with a unified provider API, streaming, UI hooks and a wrapper for running established agent harnesses.

Python and TypeScript SDK and REST Agent Server for building agents that work with code in local or containerized workspaces.

TypeScript framework for AI agents with tools, memory, RAG, MCP and sub-agents, paired with a Cloud or self-hosted console.

TypeScript and JavaScript framework for multi-agent workflows with tools, handoffs, guardrails, sandboxes and voice agents.

Sample projects for the Strands Agents SDK, showing how to build agents in Python and TypeScript; not intended for production use.

TypeScript library that lets agents call MCP and UTCP tools by running model-written code in a sandbox.

TypeScript framework and product stack for autonomous agents, with a plugin system, persistent memory, a CLI, an app and cloud services.

Python and TypeScript toolkit for calling any frontier LLM through one interface, with tools, structured output and tracing.

TypeScript agent framework with persistent cognitive memory, multi-agent orchestration and one dispatch interface across 13 LLM providers.

SDK for building Microsoft Teams apps and AI agents in TypeScript, C# and Python, with a CLI that scaffolds new agents.

Self-hosted TypeScript runtime for coordinating agents with human approval gates and inspectable runs, with no telemetry.