My hope for JarvisCore is that it shows a completely different way to build AI agents. Not as an experiment, but as an approach we've proven.
We open-sourced it a few months ago and kept building. Today it launches on Product Hunt. Here's what makes it different:
• No master agent. Agents are equal peers in a decentralised P2P mesh
• No MCP servers needed
• Zero-trust credentials
• Bounded memory (agents forget on a curve)
If you're building agents, I'd love to hear what's breaking for you.
JarvisCore 1.13 now gives agents durable source workspaces.
Point a Mesh at a GitHub repo and the agent works from an immutable snapshot. Each step gets its own isolated copy-on-write workspace. Every edit is hash-guarded, so a stale edit is rejected instead of overwriting newer
best way to close my day with a webinar on @typesafeai Jev in JarvisCore!
i covered the 4 places we are using Jev in our agent runtime: RAG classification and ranking, model routing, subagent routing, and directly in agent decisions
this is not the end, i believe there is much more to come in our memory assembly, tool recovery, peer delegation, and human-in-the-loop. Every agent harness, runtime, loop needs some good Jevglue!
also check out this docs.google.com/document/d/1G6… by @CompleteSkeptic
Join us on Tuesday, Sep 22 for a Deep-technical Office Hour session with @MutuaDevOps, as we dig into AI agents in production - what actually breaks once they leave the lab, and what that teaches you about building AI Agents. #Jarviscorediscord.gg/bBsVa7Qm?event…
a nice debut to founder-led distribution "right of passage" without using "hey guys"
okay folks we've open-sourced an agent runtime and we think you will like it for 5 things:
no MCP wiring, no master agent just pure mesh with peer-to-peer, deterministic control, zero-trust through an agent broker, and a bounded memory lifecycle.
Most AI agents hold standing database credentials. One prompt injection and the attacker gets everything. Here's what we replaced it with in production. x.com/i/article/2097…
Office Hours continues this Thursday and we are doing a first build along on the #JarvisCore agent runtime.
Join the conversation: discord.gg/jbRBAsMgM?even…
The Enterprise is a circuit of decisions across systems, people, and processes. Security around this decision circuit determines what remains sovereign.
AI agents automate these processes today but they also become a new member of the decision circuit. Hence, a new risk that threatens the sovereignty the Enterprise has cared about for decades.
#Nexus is a component of the Prescott agent runtime that eliminates this risk. The community at @prescottdevs is actively shipping to ensure easy integration into Enterprise applications.
We had a bug where any API key would validate, because our validation probes went through a shared HTTP cache that keyed on the URL and ignored the Authorization header. Once one valid key passed, every key passed. Take a look at how we solved it x.com/i/article/2091…
Our official first drop is here. $5000 worth of AI credits for real builders on our agent runtime.
We'll be issuing more communication in our developer community discord here: discord.gg/jbRBAsMgM
See you there!
The team at @prescottdata built an internal tool called #ContentForge on the agent runtime (#JarvisCore) to solve their own content creation and distribution challenge. This is a tool they actually use in production.
If you are interested in such an outcome and/or want to learn from us about our open-source agent runtime, consider joining our discord community here: lnkd.in/d9wEfBnG
Watch the demo below
Developers building AI agents now have a home at @prescottdevs
Our agent runtime — the same one Dromos runs on — is now open source. Built for production scale, not demos.
@askmuyukani + @sangalo__ kick off Office Hours Tuesday.
Register: discord.gg/jbRBAsMgM?even…
Developers building AI agents now have a home at @prescottdevs
Our agent runtime — the same one Dromos runs on — is now open source. Built for production scale, not demos.
@askmuyukani + @sangalo__ kick off Office Hours Tuesday.
Register: discord.gg/jbRBAsMgM?even…
We've published our research on Odin; our latest knowledge graph intelligence engine that powers insight discovery inside Dromos, our platform for healthcare and insurance intelligence and automation.
Odin introduces COMPASS (Composite Oriented Multi-signal Path Assessment) to guide AI agents through knowledge graphs at million-entity scale, surfacing meaningful patterns without pre-specifying queries. All this while maintaining end-to-end provenance for regulated environments.
Find out more in arXiv ➡️ arxiv.org/abs/2603.03097
Building agents?
Adopt → star the repos & reply #ADOPT plus what you're building
Contribute → reply #CONTRIBUTE plus your focus (integrations, recovery, memory, observability, docs, examples, etc.)
We'll DM best entry points. Who's in?👇
#MultiAgent#AIAgents#Dev#OpenSource
We're open-sourcing two core pieces powering agent systems in Dromos — our enterprise workflow automation platform. Most agent stacks die in prod because "logic" gets tangled with identity, secure tools, coordination, memory & recovery. Not anymore.
#AI#Agents#OpenSource
2/ Nexus Framework
Universal integration layer for AI agents & services
→ Secure identity + API connectivity across providers
→ Zero-trust posture by design
Repo: github.com/Prescott-Data/…
Docs: nexus.developers.prescottdata.io
Start with the docs and quickstarts! 🔗
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