Kijulo for Individuals
Stop losing your best thinking
to chat threads.
LLMs are powerful — but their outputs disappear into conversations you'll never find again. Kijulo gives your data structure so it compounds over time. Define how you think, let agents do the heavy lifting, and build a personal system where every insight makes the next one easier.
The problem
You're getting value from AI. But you're not keeping it.
Every day you use LLMs to think, research, and create. But the outputs vanish into chat histories. You start over every time. The AI is smart — but your workflow around it is broken.
Chat threads disappear
You had a great conversation with an LLM last week — a research summary, a decision framework, a list of options. Now you need it again. Good luck finding it in a sea of threads. The output was useful once and lost forever.
Raw text doesn't compound
Every AI conversation starts from scratch. There's no memory, no structure, no way to build on previous outputs. You re-explain context, re-paste data, re-do work. The LLM is powerful but stateless — and so is your workflow.
No structure means no leverage
Spreadsheets, docs, notes apps — they're flat. They don't understand relationships between your data. You can't link a decision to the research that informed it, or a task to the project it belongs to. Without structure, you can't automate.
The long-term play
Structure is how you make AI compound
Raw text from a chatbot is a one-shot answer. Structured data in a system you own is an asset that grows. Kijulo is the layer between you and your LLMs that turns disposable conversations into durable, reusable knowledge.
Structure makes AI useful long-term
When AI outputs land in structured fields — typed, validated, queryable — they become building blocks, not throwaway text. Your next conversation can reference what the last one produced. Insights compound instead of evaporating.
Your data stays yours
Kijulo runs locally on your machine. Your database is a file on your disk. No cloud account required, no data leaving your environment. You own everything — the structures, the content, the agent outputs. Always.
Agents that actually do work
Not just chat — agents that access tools, operate on your structured data, and produce validated outputs. Every step is recorded. When an agent does something useful, save it as a workflow and run it again. Your personal automation layer.
SQL power on your own data
Every database you create is a real SQL database. Filter, aggregate, join, query however you want. Your data isn't trapped behind a limited UI — it's fully accessible, fully yours, fully queryable.
Token-efficient by design
Your LLM costs don't grow with your data. Agents use SQL queries and targeted filters — the database does the computing, the LLM does the reasoning. Add 10,000 rows and the cost per conversation stays flat.
Works without an LLM
Your data platform, entity types, views, and workflows work without any AI. LLM is an enhancement, not a dependency. If costs spike or you simply prefer manual work — everything still works.
How it works
From scattered chats to a compounding system
Define what matters to you
Create entity types for your domain — projects, decisions, research notes, goals, anything. Each field is typed and validated. Your schema reflects how you actually think.
Capture and organize
Add data through tables, boards, or agent conversations. Link things together — a decision connects to the research that informed it. Your knowledge graph grows naturally.
Let agents amplify your work
Ask agents to research, draft, classify, enrich. They work on your structured data with tools you define. Every output is validated and recorded — not dumped into a chat window.
Build on what you've done
Successful agent runs become repeatable workflows. Past outputs feed future conversations. Your structured data compounds over time — each week is more powerful than the last.
Each week your structured data grows. Agents get more context. Workflows get more powerful. The system compounds — your effort today pays dividends tomorrow.
Kijulo vs. the status quo
Why this is different from just using ChatGPT
Chat interfaces are great for one-off questions. But if you're trying to build something — a knowledge base, a research pipeline, a personal system — you need a layer that persists, structures, and builds on itself.
| Chat-based AI tools | Kijulo | |
|---|---|---|
| Where AI output lives | Chat threads — lost in days | Structured fields — queryable forever |
| Data ownership | Cloud accounts, vendor lock-in | Local database, fully yours |
| Building on past work | Copy-paste from old conversations | Agents reference your existing data |
| Automation | Manual re-prompting every time | Repeatable workflows from recorded steps |
| Data relationships | Flat lists, no connections | Linked entities, navigable knowledge graph |
| LLM provider | Locked to one vendor | Bring any API key, switch anytime |
Use cases
Your domain, your system
Kijulo doesn't ship with a fixed data model. You define the structures that match your work — and they evolve as your needs do.
Personal knowledge base
Structure your learning, reading notes, and insights. Link ideas together. Ask agents to find connections, summarize themes, or suggest what to explore next — all grounded in your own data.
Freelance project management
Track clients, projects, deliverables, and invoices in structures that match your workflow. Use agents to draft proposals, summarize project status, or flag overdue items.
Research & decision making
Capture options, pros/cons, evidence, and outcomes. Agents help you research alternatives and score them. Review decisions over time to spot patterns and improve your judgment.
Content creation pipeline
From idea capture to research to drafts to publication. Structure your pipeline, let agents handle the tedious parts — research, outlines, repurposing — while you keep creative control.
Pricing
Start free. Upgrade when it clicks.
Try the web app at no cost. Upgrade to Standard for unlimited local power, or Pro for cloud sync and included LLM access.
Free
Web app at kijulo.com. Get started in seconds.
- Full web app at kijulo.com
- 3 entity types, 100 rows
- 10 agent conversations/month
- All views (table, board, calendar, timeline)
- BYO LLM API key required for agent
- Community support
Standard
Desktop app (Tauri). Unlimited everything. Data on your machine.
- Desktop app — run locally, works offline
- Unlimited entity types, rows, agent conversations
- All views + all 14 agent tools + workflows
- BYO LLM API key
- Email support
Pro
or $150/year
Everything in Standard, plus cloud sync and included LLM access.
- Everything in Standard
- Cloud sync — data across devices
- Included LLM access (500 requests/month)
- No API key needed
- Priority support
Enterprise
Shared databases, on-premise deployment, and dedicated support.
- Everything in Pro
- Shared team databases
- SSO / SAML
- On-premise deployment
- Custom tool extensions
- Unlimited LLM access
- Dedicated support + SLA
Your AI outputs deserve better than a chat thread.
Start with a local database. Define structures that match how you think. Add agents when you're ready. Watch your personal system compound — every insight making the next one easier.