attune-harness
PulseGate's liveness check found it on 21 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 21 Sep 2026. How this is checked
attune-harness is an open-source developer package for defining portable execution contracts across multi-model agent workflows. It is intended for developers building agent harnesses and coordinating LLM-based or MCP-enabled systems.
Inferred · not functionally tested
Overview
5 featuresPurpose: Standardizing execution contracts for multi-model AI agent workflows.
Inferred · not functionally tested
Audience: AI developers building multi-agent systems
Inferred · not functionally tested
Functions: agents, workflow_automation
Inferred · not functionally tested
Interfaces: API: unknown · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: Apache-2.0 · platforms: CLI · deployment: cli, self_hosted
Constraint provenance is unknown; confirm requirements with the publisher.
Record sources: pypi.org · github.com. These links do not verify the individual claims.
attune-harness sits in PulseGate's Frameworks & runtimes category. Inferred · not functionally tested: It focuses on standardizing execution contracts for multi-model AI agent workflows. Inferred · not functionally tested: attune-harness is an open-source project aimed at AI developers building multi-agent systems. Basis unknown · not verified: The project is open source (Apache-2.0). Basis unknown · not verified: It ships for the command line, and it can be self-hosted.
Smart AI Memory builds and maintains attune-harness, and it first shipped in 2026. The project is developed in the open on GitHub with 9 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include portable contracts, multi-model execution, and agent orchestration. Basis unknown · not verified: Catalogued interfaces include an MCP server.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Portable contracts
- Multi-model execution
- Agent orchestration
- MCP support
- CLI tooling
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
12What PulseGate has recorded for this listing
- Indexed21 Sep · 06:06 UTCattune-harness seen via PyPI Bulk EnumeratorSource: PyPI Bulk Enumerator · Open
Frequently asked questions about attune-harness
- What does attune-harness do?
- Inferred · not functionally tested: Attune-harness focuses on standardizing execution contracts for multi-model AI agent workflows. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is attune-harness for?
- Inferred · not functionally tested: attune-harness is an open-source project built for AI developers building multi-agent systems.
- Is attune-harness free?
- Basis unknown · not verified: Yes — attune-harness is open source under the Apache-2.0 license and free to use.
- What platforms does attune-harness run on?
- Basis unknown · not verified: attune-harness runs on the command line. It can also be self-hosted.
- Is attune-harness still active?
- PulseGate's liveness check found it on 21 Sep 2026. Its GitHub repository shows 9 commits in the last 90 days.
- What projects are similar to attune-harness?
- Similar projects tracked by PulseGate include agents-harness, team-harness, and android-agent-harness.agents-harnessteam-harnessandroid-agent-harness
- Who develops attune-harness?
- attune-harness is developed by Smart AI Memory.
- How long has attune-harness been around?
- attune-harness first shipped in 2026.
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