Known SQL defects stayed closed after engineering. Strong evidence of repair, but not an unseen exam.
A local companion for everyday workHere when
Here when
you need it.
Rangabot helps the open models on your computer become genuinely useful—for conversation, learning, coding, analysis and creation—without sending your private work away.
Open sourceRuns locallyNo accountCloud disabled by default
Your machine. Your models.Their full potential.
LOCALNothing sent
The Rangabot charterAI people can own,
AI people can own,
on machines they already have.
A world where everyone can own a capable, trustworthy AI companion—one that runs on the computers people already have, grows with them, and enables open-source models to reach their full practical potential.
Know me. Think with me. Help me do excellent work. Stay mine.Read the vision, mission and principles →
Useful because it knows
when to think—and when to ask.
Rangabot adds a local control plane above the downloaded model: selecting context, respecting permissions, running verified tools and showing the evidence behind important answers.
A mind that listens before it remembers.
Rangabot follows the current request first, carries useful conversation context, and uses only relevant memories you have approved.
Explore the path →02AvailableScholarYour books become a private classroom.
The Knowledge Vault retrieves from local documents, shows its evidence, and separates sourced claims from model background.
Explore the path →03ExperimentalAnalystQuestions become verified calculations.
With explicit access, Rangabot plans and runs bounded read-only analysis, then exposes the query behind its explanation.
Explore the path →04TrainingBuilderLocal context for useful creation.
Approve a repository, attach scoped code, and turn the conversation into explanations, plans, or validated Word documents.
Explore the path →Privacy is the architectureLocal first is a boundary,
Local first is a boundary,
not a badge.
Rangabot binds locally, rejects remote Ollama configuration, and keeps private data out of the public website. External help remains a future, permission-gated path.
Read the privacy model →You
RangabotLocal control planeLocal modelKnowledge vaultApproved data
External service Locked by default
Local intelligence
Private books become clear, cited teaching.
See what Rangabot retrieved, where it came from and which parts rely on model background.
Open the product tour →
Proof before promises
Every claim has a trail.
Scores name the suite, model and limitations. A merged feature is not automatically a mastered capability.
3.6% on unfamiliar schemas and natural-language questions. It improved from 0.2%, but the general SQL gate is not met.
Recovery acceptance
Independent source-level cases; recovery stays manual and changed bindings fail closed.
Binding differential
Protected concurrency cases improved from 0/5 on the merged base to 5/5 on the release source.
Memory precision & recall
Synthetic memory-selection audit; no real conversations or saved memories were inspected.
Grounded analytical narration
Canonical renderer cases; 222/222 adversarial or invalid mutations were also rejected.
Built by the pack
Help a local companion grow.
Choose a bounded capability, discuss the acceptance criteria, merge evidence and keep the achievement attached to the people who earned it.