Mutua Ruth (@MutuaDevOps) header
Mutua Ruth (@MutuaDevOps) profile picture

DevOps & Cloud

Nairobi, Kenya
Joined August 2026
Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)Photo by Mutua Ruth (@MutuaDevOps)
Introducing multiplayer agents in JarvisCore 2.3! Your team and its agents, in the same thread. Anyone asks in their own words, the work comes back as a proposal, and only the person who decides gets the Confirm button. pip install -U jarviscore-framework
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Today we have released JarvisCore v2.1.0 with fast RAG, stable atom life cycle, and better browser automation. Please refer to jarviscore.developers.presco… for more details (v.2.0.0 and v2.1.0). Test it out and let us know what breaks 😊
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Mutua Ruth retweeted
Introducing JarvisCore Enterprise! We released JarvisCore officially last month and are impressed about the fast adoption by @prescottdevs builders across the world. Today, we go a step further. McKinsey State of AI, 2025 reports that more than 62% of organisations are experimenting with AI agents and 51% have already experienced a negative consequence from AI. This is why we are making JarvisCore Enterprise available for organizations automating operations and decision intelligence with AI agents but want to do it with: - Human governed controls - Deterministic control on outcomes - Evidence layer for auditability - AI actions grounded in their own data - Growth and retention of their sovereign institutional data - Proof of compliance to regulators - Cost efficiency and ROI maximisation Let's get you started governed, secure, and auditable!
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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: β€’ No master agent. Agents are equal peers in a decentralised P2P mesh β€’ No MCP servers needed β€’ Zero-trust credentials β€’ Bounded memory (agents forget on a curve) If you're building agents, I'd love to hear what's breaking for you.
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JarvisCore has been shipping for a month. no master orchestrator, no MCP servers, no keys in .env. This Friday it goes on product hunt. The full run too.
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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 code. Commands and file changes come back as verified receipts, and only the accepted diff is kept. You can also connect your own sources, like archives, datasets or document collections, through the same adapter interface.
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Join us as @devmarrie takes us through a technical deep dive of Athena memoryOS and the role it plays in agent's long term memory. Tuesday 28th Sep 11am EAT : lnkd.in/dx6XFUiN
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Mutua Ruth retweeted
"VocΓͺs se importam se a gente cancelar?" Eu:
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Join us on the 03 of September for our second build along session, as we build agents that continuously get better from scratch with @devmarrie . Link: discord.gg/jg8QxAPKZ?event=1…
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#JarvisCore is growing and we need more contributors to keep adding more integrations, especially legacy systems and vertical integrations. We'll be opening github issues on this today.
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Claims. A knowledge graph. A JarvisCore agent. Odin The agent chooses where to investigate. Odin navigates and ranks the connected evidence. Tomorrow at 11:00 AM EAT, @lisanyambere takes us through it live on our Developer Office Hours. discord.gg/NCU8s7yKf?event=1…
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