Startup
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
Python · ≈781 stars · Apache-2.0
aws/bedrock-agentcore-sdk-python
Turn any AI agent into a production-ready application on AWS
Maintained by aws
Neighbours in the directory
San Francisco, CA · Est. 2022
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
Prague, Czechia · Est. 2023
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.
Est. 2023
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.
Connections
Relations from the Harness Hub knowledge graph, as charted in the State of Harness reports.
Maintains · 1
- Bedrock AgentCore SDKProject
Built on · 1
- Model Context ProtocolProject
Sources
Verified Oct 29, 2026