JarvisCore
PulseGate's liveness check found it on 14 Sep 2026; it is registered on GitHub and PyPI and has been in the index since 5 Aug 2026. How this is checked
JarvisCore is an open-source Python framework for orchestrating multi-agent AI systems. It provides peer-to-peer coordination, a unified memory layer across agents, and built-in authentication mechanisms. Designed for developers building distributed LLM-powered workflows, it enables complex autonomous agent interactions without relying on centralized control planes.
Inferred · not functionally tested
Overview
5 featuresPurpose: Building and coordinating complex multi-agent AI systems that require peer-to-peer communication and shared memory.
Inferred · not functionally tested
Audience: developers
Inferred · not functionally tested
Functions: agents, workflow_automation, collaboration
Inferred · not functionally tested
Interfaces: API: unknown · MCP: unknown · 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.
JarvisCore sits in PulseGate's Multi-agent & orchestration category. Inferred · not functionally tested: It focuses on building and coordinating complex multi-agent AI systems that require peer-to-peer communication and shared memory. Inferred · not functionally tested: JarvisCore is an open-source project aimed at developers. Basis unknown · not verified: JarvisCore is open source under the Apache-2.0 license. Basis unknown · not verified: It runs on the command line, and it can be self-hosted.
It is developed by Prescott Data, and it first shipped in 2026. The project is developed in the open on GitHub with 133 commits in the last 90 days. Inferred · not functionally tested: Key capabilities include multi-agent orchestration, peer-to-peer coordination, and unified memory.
Summary written by a language model from the project’s public pages.
Tasks: Inferred · not functionally tested
- Multi-agent orchestration
- Peer-to-peer coordination
- Unified memory
- Built-in authentication
- Distributed workflows
Topics: Inferred · not functionally tested
Built with & integrations
Trust & compliance
Indexing history
5What PulseGate has recorded for this listing
- Indexed22 Sep · 16:56 UTCjarviscore-framework seen via PyPI Fresh FeedSource: PyPI Fresh Feed · Open
Frequently asked questions about JarvisCore
- What is JarvisCore?
- Inferred · not functionally tested: JarvisCore focuses on building and coordinating complex multi-agent AI systems that require peer-to-peer communication and shared memory. It is catalogued under Multi-agent & orchestration on PulseGate.
- Who is JarvisCore for?
- Inferred · not functionally tested: JarvisCore is an open-source project built for developers.
- Is JarvisCore free?
- Basis unknown · not verified: Yes — JarvisCore is open source under the Apache-2.0 license and free to use.
- What platforms does JarvisCore run on?
- Basis unknown · not verified: JarvisCore runs on the command line. It can also be self-hosted.
- Is JarvisCore still maintained?
- PulseGate's liveness check found it on 14 Sep 2026. Its GitHub repository shows 133 commits in the last 90 days.
- What projects are similar to JarvisCore?
- Similar projects tracked by PulseGate include JARVIS, JarvisClaw Agent SDK, and OpenJarvis.JARVISJarvisClaw Agent SDKOpenJarvis
- Who develops JarvisCore?
- JarvisCore is developed by Prescott Data.
- How long has JarvisCore been around?
- JarvisCore first shipped in 2026.
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