BearDrive vs Caveman: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of BearDrive and Caveman — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

BearDrive

Runbear

Free

Open-source shared folder that syncs the files your team's AI agents create, with versions, authorship, and shareable links — no server required.

Filesystem-native sharing: The shared surface is your local filesystem, so any AI agent that writes files can participate without a special SDK.
Second-scale sync: Files sync to teammates within seconds of being written, so an agent's output is immediately available to another teammate's agent.
Automatic versioning: Every synced change becomes a version that is kept, attributed to a user or agent, and restorable.
Shareable web view: Every file gets a link you can drop into Slack; teammates open a web view of the file with no install required.
Team history and authorship: See who — or which agent — produced each file and when, across the whole team.
Open source, self-hostable: AGPL-3.0 with the server, teams, history, and links code publicly available on GitHub.

Agent-produced research sharing: An analyst's research agent drops long-form HTML reports into a shared folder; a teammate's agent reads them the next minute.
Design/data handoff: A design or data agent writes assets or CSVs at a stable path so downstream agents pick them up without brittle Slack uploads.
Cross-agent workflows: One agent's output is another agent's input — BearDrive keeps the artifacts and their versions instead of scattering copies.
Team memory for AI work: Teams keep a browsable history of everything their agents have produced, restorable and attributable.
Self-hosted deployments: Regulated teams host BearDrive on their own infra to keep AI-produced files inside their perimeter.

Julius Brussee

Freemium

Efficiency stack that caches, compresses, and routes AI traffic to cut LLM output tokens by up to 65% with verified savings.

Caveman Skill: MIT-licensed Claude Code skill that teaches 30+ agents (Claude Code, Codex, Cursor, and more) to answer in a compressed dialect, cutting output tokens ~65% while keeping code and errors byte-exact.
Local Proxy Wrap: One command (`caveman claude`) launches your agent with recoverable local context compression — no account required, BYOK, engine stores original bytes before lossy replacement.
Recoverable Context Compression: Engine recognizes logs, JSON, code, diffs, and tables, then sends smaller eligible context to the model and can restore the originals on demand.
Agent SDK: `@caveman-ai/agent` TypeScript SDK adds catalog-price guards, per-request token bills, and eval-gated context plans to production agents.
Cave Score & Ledger: Inferred local savings score and a verified 'causal-cache' ledger on paid tiers so you can prove cut tokens and cut dollars.
Managed Cloud Gateway: Point traffic at one URL and caching / compression / routing run eval-gated on autopilot, with a synced savings dashboard.
Browser Extension: Ships for ChatGPT, Claude, and Gemini so end-user chats benefit from the same output compression without any code changes.
Enterprise & OEM: Same stack self-hosted in your cloud or datacenter with signed savings receipts, zero data retention, and OEM embed options.

LLM Bill Reduction: Cap OpenAI, Anthropic, or Google spend without changing model choice by cutting output tokens per response across your agent fleet.
Coding Agent Efficiency: Install the skill to make Claude Code, Codex, Cursor, and other CLI agents produce terse, byte-exact answers so long tasks fit in context.
Provider Wrap for Production Agents: Use the SDK to add per-call token bills, catalog-price guards, and eval-gated context plans to LangChain / custom agents.
Central Cost Gateway: Point every agent in the org at Caveman Cloud so caching and routing are enforced from one URL with a shared dashboard.
On-Prem or OEM Embed: Ship the Enterprise stack inside a regulated network or embed it in your own AI product with signed savings receipts and zero data retention.
Chat-App Compression: Install the browser extension for ChatGPT, Claude, or Gemini to keep casual chats short, cheaper, and inside the context window.