Apache Maka vs Pebbles Ai: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Apache Maka and Pebbles Ai — 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.
Pebbles Ai
Pebbles Ai Ltd
Neurosymbolic AI GTM operating system that unifies strategy, lead generation, outreach, and sales analytics for B2B teams.
Key features
- Assistants: Strategy and General AI operators that plan moves, run daily marketing, and execute sales tasks using company-trained intelligence.
- Leadgen & Tactical Outreach: Multi-touch email and LinkedIn campaigns with deep personalisation, scheduling, and persuasion-science-driven copy.
- Smartbox: Auto-generates on-brand replies and follow-ups in the user's writing style across multiple inboxes to convert conversations into calls.
- Neurosymbolic AI Core: Enterprise-secure, company-trained reasoning engine that grounds outputs in real market intel for higher precision than generic LLMs.
- Team Productivity Analytics: Real-time dashboards tracking execution speed, quality, individual impact, and team productivity scores.
- Company Library: Central source-of-truth store for strategies, campaigns, and sales assets that both people and AI reuse without knowledge loss.
- Sales & Marketing Asset Builder: Generates on-brand proposals, pitch decks, two-pagers, RFPs, and marketing collateral from decision-science templates.
- Collaboration & Governance: Review, comment, approve, permissions, and audit trail workflows to keep strategy, marketing, and sales in sync.
Best for
- GTM strategy execution: Business leaders align teams and execute plans faster using strategy assistants grounded in real market intelligence.
- Outbound lead generation: Sales teams source fresh, high-intent leads and run multi-touch personalised outreach across email and LinkedIn.
- Inbox productivity: Sellers reply, follow up, and delegate across multiple inboxes with on-brand AI drafts that keep deals moving.
- Campaign launch: Marketers spin up neuro-led email and LinkedIn campaigns in minutes instead of days, tuned to their target audience.
- Sales collateral creation: Teams generate proposals, pitch decks, RFPs, and two-pagers on brand and grounded in company knowledge.
- Performance management: Leaders monitor team productivity, speed, and contribution with real-time analytics to reallocate effort.