Kontexta is the first AI‑coding platform that keeps your code and data truly private while offering a full‑featured, standards‑compliant tool catalog for any AI assistant.
Built on a local‑first MCP architecture, it delivers a persistent knowledge vault, a governed sandbox, and a journal‑driven workflow that turns every AI interaction into actionable knowledge.
With a perfect Smithery and Glama Quality Score, Kontexta is ready for enterprises, teams, and individual developers who demand security, extensibility, and reliability from their AI coding partners.
Vault Management: Git-backed markdown vault holding your project's context as searchable, editable plain files.
Agent Journaling: Auto-logs every agent action, then distills it into per-topic markdown summaries.
MCP Connector: One config, every agent -Claude Code, Cursor, Cline, Copilot, Gemini, Antigravity.
SQLite FTS5: Deterministic keyword/regex search, no vector embeddings, no hallucinated matches.
Markdown Studio: Surgical, section-level reads and edits without touching the whole file.
Mermaid Visuals: Diagrams render natively when vault content is published as docs.
Zero-Trust Privacy: Local-only by default, password-protected, nothing leaves your machine unless you expose it.
Clipping Engine: Clips web docs straight into the vault, with auth-wall detection.
HTML Rendering: Sandboxed viewer for rendered report output.
PDF & PNG Export: Export vault reports to PDF or PNG in one call.
Event Manager: Conflict-aware scheduling across any entity, with .ics export and 11 MCP tools.
Context Publish: Turns the vault into a shareable docs site via a configurable pipeline.
Switching agents mid-feature: Claude Code journals a decision, Cursor reads it five minutes later, no re-explaining.
Multi-project consulting: One agent instantly searches and reuses context, decisions, and standards from another registered project.
Token-constrained workflows: Surgical section fetches and est_tokens budgeting keep large codebases cheap to work with.
Governed command execution: Let agents run project scripts through a sandboxed, approval-gated contract instead of raw shell access.
Team knowledge base: Multiple agents (and developers) contribute to one shared, git-synced vault instead of scattered CONTEXT.md files.
Long-running projects: Journaled decisions compound over time, so each new session starts smarter than the last.
Onboarding a new agent or teammate: register_project + onboard_agent wires up project rules automatically across every supported client.
Resource/room/equipment scheduling: Conflict-aware calendar for anything you name, with .ics export for external calendars.
Publishing internal docs: Turn the vault into a documentation site or API reference without maintaining it separately

When I set out to build Kontexta, my goal was simple: give developers the power of AI‑driven coding without ever sacrificing privacy or control. By keeping the entire MCP server and its knowledge vault on‑device, we eliminate the need for any external API calls, yet we still provide a rich, extensible catalog of 71 fully‑described tools that can be safely invoked by any AI assistant.

When I set out to build Kontexta, my goal was simple: give developers the power of AI‑driven coding without ever sacrificing privacy or control. By keeping the entire MCP server and its knowledge vault on‑device, we eliminate the need for any external API calls, yet we still provide a rich, extensible catalog of 71 fully‑described tools that can be safely invoked by any AI assistant.
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