Apache Maka vs Viktor for Media Buyers: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and Viktor for Media Buyers — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Apache Maka
The Apache Software Foundation
Apache-licensed local-first agent workspace that runs tools in a sandbox and records every model message and tool call as a recoverable execution log.
Key features
- Append-Only Execution Record: Model messages, tool calls, tool results, permission decisions, and turn termination events are written down durably, so the transcript is evidence rather than a disposable chat buffer.
- Context Trimming Without Data Loss: Old tool output can be omitted from the next prompt to shorten context while the full saved history remains intact and inspectable.
- Single Runtime Host: Desktop, terminal, and evaluation all execute through one runtime, so behavior does not diverge between how you develop and how you benchmark.
- Sandboxed Tool Boundary: Built-in Read, Write, Edit, Bash, Glob, and Grep tools run under a sandbox; anything leaving that boundary requires approval, and Computer Use and catalog skills are opt-in.
- Crash Recovery and Resume: Runs can be aborted, failures are classified, and an interrupted turn can optionally be resumed rather than restarted from scratch.
- Session Branching and Search: The desktop workspace supports creating, archiving, searching, renaming, retrying, regenerating, and branching sessions from any turn.
- Bring Your Own Model: Connect a cloud API, a locally hosted model, or a compatible gateway, with streaming output, thinking, usage reporting, and clearer provider errors.
- Declarative Evaluation Harness: maka eval expands multi-arm experiments into task by repetition by subject cells with immutable per-cell attempts and a result kernel covering score, normalized usage, attributable cost, duration, and failure reason.
- Local-First Storage: Sessions, settings, artifacts, and run records stay on the machine by default, with local memory and optional web search when configured.
Best for
- Auditable Agent Runs: Keeping a defensible record of exactly what an agent did and which permissions were granted during a task.
- Long Coding Sessions: Working through a multi-turn refactor with branching and resume instead of losing state when a turn fails.
- Agent Benchmarking: Running reproducible multi-arm experiments comparing models, prompts, or external agent subjects on the same task set.
- Air-Gapped or Regulated Work: Running an agent workspace where sessions and artifacts must remain on local infrastructure.
- Cost and Usage Analysis: Attributing token usage, cost, and duration per experiment cell to decide which model configuration to ship.
- Terminal Workflows: Driving an agent from the current project directory or scripting a single non-interactive turn from CI or a shell.
- Open-Source Agent Research: Building on a permissively licensed runtime whose execution semantics and architecture are fully documented.
Viktor for Media Buyers
Viktor
An autonomous AI coworker that lives in Slack, connects to 3,000+ tools, and automates reports, dashboards, code, and ad campaigns.
Key features
- Slack-native Assistant: Operates directly inside Slack channels and DMs to accept task requests, deliver results, and run workflows without requiring users to switch apps.
- Multi-Tool Integrations: Connects to 3,000+ business tools and data sources, enabling cross-platform queries, data aggregation, and end-to-end automation across the tech stack.
- Automated Reporting & Dashboards: Generates scheduled or on-demand reports and interactive dashboards by pulling, joining, and visualizing data from multiple connected services.
- Campaign Automation: Designs, launches, and manages marketing and ad campaigns by orchestrating ad platforms, tracking performance, and adjusting parameters based on rules or insights.
- Code and Web App Generation: Produces code snippets, scripts, or lightweight web apps to automate tasks or expose custom integrations, accelerating developer workflows and prototyping.
- Data Analysis & Insights: Runs analytics queries, surfaces key metrics and anomalies, and provides actionable recommendations based on consolidated data.
- Workflow Orchestration: Chains actions across tools (e.g., update CRM, adjust bids, export reports) to automate recurring operational processes with minimal manual intervention.
- Slack-native agent that operates inside Slack channels and DMs
- Connects to 3,000+ third-party tools and platforms via pre-built connectors
- Automated report and dashboard generation and delivery
- Campaign setup and management support for media buying workflows
- Code generation and automation (scripts, tracking snippets, simple code tasks)
- Execution-first assistant (performs work vs. only providing guidance)
- Integrates with analytics and ad platforms to centralize insights
- Template-driven workflows and repeatable task automation
Best for
- Cross-Platform Campaign Reporting: Automatically aggregate metrics from multiple ad platforms into a single dashboard and deliver daily summaries in Slack for media buying teams.
- Ad Performance Optimization: Monitor campaign KPIs and automatically trigger budget or bid adjustments across ad accounts based on predefined thresholds or AI-driven recommendations.
- Creative Test Automation: Orchestrate A/B test setups, collect results, and produce statistical summaries and winner recommendations without manual data exports.
- Budget & Spend Reconciliation: Pull spend data from ad platforms and finance systems, reconcile discrepancies, and generate reconciliation reports for stakeholders.
- Attribution and Conversion Analysis: Combine CRM, analytics, and ad data to produce multi-touch attribution reports and identify high-performing channels and creatives.
- Self-Serve Data Tools for Non-Technical Users: Allow marketers and media buyers to request custom reports, run ad-hoc analyses, or generate scripts/apps via Slack without engineering support.
- Automate daily and weekly ad performance reports and push them to Slack channels
- Generate and update dashboards for campaign KPIs without manual data pulls
- Create and deploy ad campaign configurations and creative briefs via integrated connectors
- Produce tracking or reporting code snippets and small scripts to support measurement
- Centralize cross-tool workflows (analytics, CRM, ad platforms) and coordinate execution via Slack