About the Product

An AI Agent That Delivers Outcomes

OneWikiMind is a local-first, autonomous AI agent platform built for software teams and solo founders. Submit a high-level goal and it autonomously plans, executes, reviews, and delivers the outcome as real code, documents, or reports — running entirely on your machine.

The Agent Team

Four specialized AI agents collaborate on every mission, each with a distinct role.

Planner

Converts your mission into an executable task graph with confidence scoring and dependency tracking.

Executor

Runs tasks using built-in tools inside an isolated, sandboxed workspace with full context injection.

Reviewer

Gates every task with lint, type-check, test, and security verification before marking it complete.

Coordinator

Manages job progression, agent handoffs, and resume logic across restarts and interruptions.

Mission & Job Control

Full lifecycle management for every goal — from submission to completion.

Submit a mission with optional constraints, deadline, and spending budget

Automatic decomposition into milestones, jobs, and tasks with a dependency graph

Start, pause, resume, cancel, and retry any job at any time

Jobs survive app restarts — resume from the last checkpoint with zero re-briefing

Full real-time timeline and event stream for every running job

Confidence scoring on the task plan before execution begins

Memory & Continuity

The system never forgets. Persistent memory means no re-briefing, ever.

Every conversation and job outcome stored as a structured memory episode

Semantic search over past episodes — relevant context recalled automatically

Nightly consolidation at 2 AM — compresses history, detects contradictions, flags gaps

Context always injected before any agent prompt so the system knows your project

Resume any interrupted project without re-explaining what you were building

Safety & Governance

Four-tier action policy. You always stay in control of what runs on your machine.

Low

Executes automatically — reading files, running tests

Medium

Executes with logging — writing files, running permitted commands

High

Blocked until you approve — destructive file ops, external network calls

Critical

Always blocked — secrets access, billing operations, publishing

Path sandboxing — tools cannot escape per-job directories

Command allowlisting — only permitted shell commands run

Every tool call logged with full inputs, outputs, and context

Built-in Tools

Everything the executor needs to work on real software projects out of the box.

Read / write files, list directories, search workspace

Run shell commands (allowlisted for safety) and test runners

Apply patches, commit to Git, view diffs and status

Calculator — decimal-precise math, no code injection risk

Finance data fetcher — market quotes via yfinance

Report generator — markdown rollups of outcomes, cost, and artifacts

Skill Runtime

An extensible plugin system that keeps the executor safe, current, and expandable.

17 built-in skills: file ops, code ops, memory, credentials, approval, artifact writing, and more

Install community skill packages that extend what the executor can do

Every skill is tested in an isolated environment before it can be activated

Auto-rollback if a skill's failure rate exceeds 20% over the last 10 runs

AI Provider Support

Bring your own API keys. No lock-in. Route locally or to the cloud based on task and cost.

Anthropic

Claude 3.5 / 4 family

OpenAI

GPT-4o and o-series

Google

Gemini 1.5 / 2.0 Pro

xAI

Grok 2 / 3

Ollama

Any local model on your hardware

Cost Optimizer: Detects your local hardware (CPU, RAM, GPU/vRAM) and recommends local models when economical. Tracks quality score, latency, and cost per model to continuously improve routing. Full cost breakdown per job.

Notifications

Five notification types. Approval Required is never suppressible.

Type

Opt-out

Job Completed

Available

Job Failed

Available

Approval Required

Never suppressible

Capability Gap Found

Available

Nightly Reconciliation Summary

Available

Platform & Distribution

Native desktop apps and Docker — your choice.

macOS

.dmg installer — native desktop app

Linux

.AppImage and .deb packages

Docker

Single-image deployment for server/team use

Ready to Try It?

Join the early access list and be first in line when we launch.

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