jarviscore-framework
JarvisCore is a runtime where AI agents operate as a fleet of equal peers. Agents discover one another by capability, execute tasks from a shared ledger, and authenticate to every external service through a zero-trust broker, never with their own keys.
Not yet testedsource: GitHubhomepagePythonApache-2.0commit e611c5b25c69
Python, Apache-2.0 licensed. The project labels itself: agent framework, agentic ai, agents, ai, ai agents, aiagentframework, distributed systems and llm agents.
jarviscore-framework has not been verified yet.
Measured by Argusic on a fresh machine every time. Every number links to its evidence.
At a glance
Subject data from GitHub, linked at the top of this page, refreshed . Test data by Argusic (CC BY 4.0); every number links to a run page with the full log, the recording, and their sha256 hashes.
Also tested, in the same area
Every one of these was installed and run by Argusic on a clean machine. Nothing appears here that was not tested.
Run history
No recorded runs.
Topics (from GitHub)
agent-frameworkagentic-aiagentsaiai-agentsaiagentframeworkdistributed-systemsllm-agentsllmsmulti-agent-systemspythonworkflow-enginezero-trust
Embed the badge
Markdown for the project README. It links back here; terms on the terms page.
[](https://argusic.com/subject/jarviscore-framework)Questions
- Does jarviscore-framework run?
- jarviscore-framework has not been fully verified yet. No recorded run has produced a verdict yet.
- How did Argusic test jarviscore-framework?
- On a fresh, disposable machine, with every command recorded. 0 attempts are recorded, and the full method is on the methodology page.
- Where is the evidence for jarviscore-framework?
- All 0 recorded runs are on this page, each linking to its full log and terminal recording, stored with a sha256 fingerprint so it cannot be quietly altered.