JarvisCore
Build agents as peers in a mesh network with zero-trust
JarvisCore launched on September 30, 2026 with 97 votes, #259 of 8,042 launches that month and more than 95% of that year's launches.
What it does
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.
Open source Python framework for autonomous multi-agent systems with peer-to-peer orchestration, durable memory, zero-trust credentials, and observability.
JarvisCore is an open source Python framework for building autonomous multi-agent AI systems. Most agent frameworks get you a demo; JarvisCore gets you an operator: agents that run unattended for weeks, remember last month, fail loudly, and leave a flight record you can read. We run our own agents on it, with real budgets. Every hardening release comes from those scars. Built by running our own agents unattended, with real budgets. Four rules fell out of that, and they are enforced in code, not promised in prose: AutoAgent runs a full cognitive loop internally: observe, orient, decide, act. CustomAgent exposes the execution loop directly for deterministic control. Both share the same…from jarviscore.developers.prescottdata.io
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