Apache Maka vs Triggered Agents That Start Working Instantly | Adaptive: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and Triggered Agents That Start Working Instantly | Adaptive — 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.
Triggered Agents That Start Working Instantly | Adaptive
Adaptive
Event-triggered agents that start automatically to turn bookings, payments, forms, and updates into completed work.
Key features
- Event-Triggered Agent Launch: Monitors events (bookings, payments, form submissions, updates) and automatically instantiates the appropriate agent to act immediately when a trigger occurs.
- Task Automation Across Business Functions: Agents execute concrete tasks such as sales follow-up, marketing campaign actions, customer lifecycle updates, market research tasks, and small website or content changes without manual input.
- E-commerce Actionability: Integrates with commerce workflows so that inventory or order events can prompt agents to find suppliers, draft purchase orders, or take other procurement actions (example: Shopify low-stock → supplier search and PO draft).
- Instant Orchestration: Agents start working instantly on detected events to reduce response time and ensure time-sensitive tasks are handled promptly.
- Event-to-Action Mapping: Allows mapping of specific event types to specialized agent behaviors so businesses can tailor what agent runs for each kind of signal.
- Operational Efficiency: Reduces manual handoffs by converting routine updates, payments, and bookings into automated work items that complete end-to-end tasks or hand back structured results.
- Automatic agent invocation on predefined triggers (bookings, payments, forms, updates)
- Converts events into executable tasks and workflows without manual start
- Prebuilt event-action patterns (e.g., low-stock → supplier search → draft PO)
- Integration-ready design for business tools and platforms
- Applies to multiple business domains: sales, marketing, customer lifecycle, market research, website tasks
Best for
- Automated procurement: When Shopify or inventory monitoring indicates low stock, an agent locates suppliers, drafts purchase orders, and prepares procurement follow-up.
- Sales follow-up after bookings: Immediately trigger automated outreach and next-step scheduling when a customer booking is recorded.
- Payment-triggered workflows: Launch reconciliation, invoicing, or fulfillment tasks automatically when payments are received or fail.
- Lifecycle-driven marketing: Start targeted marketing campaigns or onboarding sequences when a user signs up or reaches lifecycle milestones.
- Market research tasks: When signals or form responses indicate interest or trend, spawn agents to gather data, summarize findings, and recommend actions.
- Website and content updates: Convert form submissions or business updates into tasks to build, update, or publish small sites and content changes automatically.
- Monitor Shopify inventory and auto-generate purchase orders when stock is low
- Turn completed booking or payment events into downstream fulfillment tasks
- Automate responses and follow-ups for leads and customer lifecycle events
- Trigger marketing campaign actions based on form submissions or customer updates
- Run market research tasks automatically when relevant data or updates arrive