acr-runtime
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 1 Aug 2026. How this is checked
ACR (Adaptive Cognitive Runtime) is a Python package that provides a local-first, model-independent runtime for AI orchestration and autonomous agent execution. It supports running agents with local models such as those served by Ollama, implements the Model Context Protocol (MCP), and enables building complex cognitive workflows without vendor lock-in. Ideal for developers building offline-capable or privacy-focused AI agent systems.
Inferred · not functionally tested
Overview
5 featuresPurpose: Orchestrating and running autonomous AI agents locally without depending on specific LLM providers or cloud services.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: agents, workflow_automation
Inferred · not functionally tested
Interfaces: API: indicated (inferred, not tested) · MCP: indicated (inferred, not tested) · CLI: indicated (inferred, not tested) · Self-hosting: indicated (inferred, not tested)
Recorded constraints: pricing: open_source · license: MIT · platforms: CLI · deployment: cli, api_only, 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.
acr-runtime is a Frameworks & runtimes project. Inferred · not functionally tested: It focuses on orchestrating and running autonomous AI agents locally without depending on specific LLM providers or cloud services. Inferred · not functionally tested: It is built as an open-source project for developers. Basis unknown · not verified: The project is open source (MIT). Basis unknown · not verified: acr-runtime is available on the command line and API, and it can be self-hosted.
It is developed by hbkdad, and it first shipped in 2026. The project is developed in the open on GitHub with 70 commits in the last 90 days. Inferred · not functionally tested: Among its 5 catalogued features are local-first execution, model independence, and agent orchestration. Inferred · not functionally tested: Catalogued interfaces include an MCP server and a public API.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Local-first execution
- Model independence
- Agent orchestration
- MCP support
- Ollama integration
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
1What PulseGate has recorded for this listing
Frequently asked questions about acr-runtime
- What does acr-runtime do?
- Inferred · not functionally tested: Acr-runtime focuses on orchestrating and running autonomous AI agents locally without depending on specific LLM providers or cloud services. It is catalogued under Frameworks & runtimes on PulseGate.
- Who is acr-runtime for?
- Inferred · not functionally tested: acr-runtime is an open-source project built for developers.
- Is acr-runtime free?
- Basis unknown · not verified: Yes — acr-runtime is open source under the MIT license and free to use.
- What platforms does acr-runtime run on?
- Basis unknown · not verified: acr-runtime runs on the command line and API. It can also be self-hosted.
- Is acr-runtime still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 70 commits in the last 90 days.
- What are alternatives to acr-runtime?
- Similar projects tracked by PulseGate include arcwright-ai, aios-runtime, and alc-runtime.arcwright-aiaios-runtimealc-runtime
- Who makes acr-runtime?
- acr-runtime is developed by hbkdad.
- When did acr-runtime launch?
- acr-runtime first shipped in 2026.
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