Agent frameworks
OpenHarness
A Python agent harness with tool execution, skills, memory and multi-agent coordination, plus the built-in ohmo personal-assistant application.
Overview
Research summary
OpenHarness supplies the infrastructure around a language model that turns individual completions into an agent workflow. Its documented capabilities include tool-call loops, skill loading, persistent context, permission controls, hooks, and coordination between multiple agents. The repository also includes ohmo, a personal-assistant application built on the same foundation and reachable through supported communication channels.
This distinction matters: the reusable harness is the core building block, while the assistant is one way of using it. Integrating an existing model or coding-agent subscription does not transfer control over provider access or eliminate the need to configure permissions. Operators should review the files, commands, credentials, and external services available to each workflow.
The Python implementation is MIT licensed, with model services, channels, and other external integrations governed separately.
Repository summary
- Stars
- 15,763
- Open issues
- Unavailable
- Last push
- 2026-06-04
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Version
- Unavailable
Recorded catalogue figures. View repository data and provenance →
Classification
Pricing & services
Paid services unknown
Whether the provider offers paid products or services has not been established.
Licence scope
Implementation
Recorded implementation details and interfaces for OpenHarness.
Implementation details
Python agent harness and ohmo assistant with terminal interfaces
- Languages
- Python
- Repository type
- source
Recorded interfaces and capabilities
Licence scope
Repository
Repository snapshots, release information and recorded maintenance signals.
Repository snapshot
- Stars
- 15,763
- Open issues
- Unavailable
- Last push
- 2026-06-04
- Commits, 90 days
- Unavailable
- Repository activity
- Not scored
- Archived
- Not recorded
Repository activity is a snapshot, not a quality or popularity ranking. It combines recent-push freshness (50%), 90-day commits (30%) and issue pressure (20%).
Maintenance and provenance
- Catalogue snapshot
- 2026-10-06
- Stars source
- Recorded fallback
- Last push source
- Recorded fallback
Documentation
Recorded references and research provenance for this entry.
Recorded sources 4
- https://github.com/HKUDS/OpenHarness Project page · Linked repository · Research reference
- https://github.com/HKUDS/OpenHarness/blob/main/README.md Research reference
- https://github.com/HKUDS/OpenHarness/blob/main/LICENSE Research reference
- https://github.com/stars/angelcervera/lists/ai Research reference
Research metadata
- Research date
- 2026-09-16
- Catalogue snapshot
- 2026-10-06