Harness Hub
All startups

Amazon Bedrock AgentCore

AWS platform for building, connecting and running production AI agents with any framework or model

Amazon Bedrock AgentCore is AWS's platform for building, connecting and running production AI agents with any framework or model. It includes a harness for deploying agents and a Gateway that handles authentication and access control for tool calls to MCP servers, APIs and Lambda functions. It also has observability and evaluation tools for tracing agent behavior and testing variations against real traffic.

Their open-source work

aws/bedrock-agentcore-sdk-python

Turn any AI agent into a production-ready application on AWS

Maintained by aws

Featured

The de-facto standard toolkit for building LLM applications and agents.

LangChain makes the LangChain framework and LangGraph, the low-level orchestration standard for stateful, controllable agents, plus the LangSmith platform for tracing, evaluating and monitoring them in production.

~$75M raised

4 pros · 4 cons

E2B

Open-source sandboxes for running AI-generated code.

E2B gives agents secure, isolated cloud micro-VMs to execute code and commands — the execution runtime layer of the harness, used by many coding and data-analysis agents.

4 pros · 3 cons

Elastic sandboxes for running AI-generated code.

Daytona provides secure, OCI-compatible sandbox 'computers' that spin up in under 90ms — with snapshots for persistent agent state. In 2026 it moved core development to a private codebase while continuing to run as a commercial platform.

3 pros · 4 cons

Connections

Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.

Maintains · 1

Built on · 1

Sources

  1. AWS AgentCore page