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JarvisCore

Build agents as peers in a mesh network with zero-trust

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This is 1 of 516 launches in developer tools for AI agents — see how it stacks up on momentum and crowding →

355 other launches read as similar to this one →

Details

External ID
1265272
Source
PH
Company
—
Product
JarvisCore
Website domain
producthunt.com
Launched
Oct. 2, 2026
Cohort
—
Upvotes
104
Upvotes percentile
0.9890732174190461
Tags
Open Source, Artificial Intelligence, GitHub, Tech
Fetched at
Oct. 4, 2026, 1:01 a.m.
Updated at
Oct. 4, 2026, 1:01 a.m.

Description

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.

Enrichment

Niche
developer tools for AI agents
Vertical
Horizontal
Function
Dev tools
Audience
Developer
AI stance
AI-native
Project type
Commercial product
Normalized one-liner
mesh network agent platform for developers
Manually corrected
False

Could you build this?

No Designing a distributed peer-to-peer mesh network runtime with decentralized consensus/shared ledger and a zero-trust credential broker requires deep distributed systems and security engineering.

What it would actually take: Building JarvisCore requires implementing a decentralized peer-to-peer networking layer (e.g., libp2p) with mTLS, a distributed state ledger (such as Raft or CRDT-backed state synchronization), and a secure zero-trust credential proxy/broker (like SPIFFE/SPIRE with HSM/KMS integration). The key challenges are network partition tolerance, low-latency consensus among autonomous nodes, and strict cryptographic isolation to prevent agent privilege escalation.

Competitors

Other products that read as similar to this one — 355 launches clear the similarity bar, closest 8 shown.

Attention rank: #7 of 356 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 333 days after the earliest competitor.

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