Products/Team collaboration software, AI Workflow Automation/Jitera

Jitera

Shared context that turns AI into your teammate

Team collaboration software, AI Workflow AutomationContext Graph - Connect docs, data, decisions, and people into shared context agents can actually useAgents that grow your context - Agents ask the right teammate when context is missing, so shared context keeps getting sharperHumans and agents co-edit - Docs, specs, and notes edited together by humans and AI in the same documentOne shared thread - The whole team chats with agents in one place, no more copy-paste from private ChatGPT windowsMiddleware architecture - Every behavior (memory, telemetry, LLM runtime, bucket mounts) wraps around the agent loop with the same shape
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Our Take

The "AI is a genius goldfish" framing is genuinely clever, and honestly the problem they're solving is real — every team complains about AI being a solo tool with zero memory, but nobody's actually built the shared context layer to fix it. Jitera's approach of connecting code, docs, decisions, and tribal knowledge into one graph feels like the right architectural move, and the enterprise lineup (Panasonic, Asahi Life, Sumitomo Electric) proves this isn't just another dev tool fantasy. Whether teams will actually do the work to maintain shared context is the real question, but at least they're attacking the right problem.

Jitera builds a shared Context Graph that connects code, docs, decisions, and tribal knowledge so every AI agent knows who owns what, what was decided, and what's already been tried. This turns AI from a genius goldfish (brilliant in the moment, then forgets everything) into a real teammate.

Problem It Solves
Everyone prompts their own AI in their own tab. Outputs get copy-pasted, nobody reads them, and the team falls out of sync. Organizations aren't learning from AI, they're just generating. Teamwork itself hasn't changed despite AI everywhere.
Target Customer
Teams who want AI that actually fits how they work. Trusted by enterprise companies including Panasonic, Asahi Life, Sumitomo Electric, and 100+ teams.
Use Cases
Connect docs, data, decisions, and people into shared context, Route usage data to custom observability stacks, Mount S3 buckets as local filesystems for agents, Swap LLM runtimes per team or per agent, Preload URLs into agent context automatically
Differentiator
Shared context graph that turns AI into a teammate rather than a solo tool. Middleware-based architecture where all behaviors (memory, telemetry, LLM runtime, file mounts) have the same shape and stack without interfering, enabling flexibility that all-in-one platforms can't match.
Why Now
Over the past year, AI went from novelty to daily tool, but teamwork itself hasn't changed. Even with AI everywhere, teams are still working in isolated private tabs. Jitera provides the shared context needed for AI to actually function as a teammate.
Traction
User Count: 100+ teams · Customers Mentioned: Panasonic, Asahi Life, Sumitomo Electric · Notable Metrics: 109 followers, 95 upvote points, Day Rank #16, 36 upvotes on maker post

Key Facts

Category
Team collaboration software, AI Workflow Automation
Discovered via
product-hunt

The people behind Jitera

I

Ivan Charapanau

profile
Y

Yota Numata

profile

Links

WebsiteSource: product-hunt

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