Directory/Automation/AI Agent Runtime/Rebyte
Rebyte

Rebyte

Rebyte is a managed runtime for AI agents: durable sessions, sandboxed compute, files, browser access, MCP servers, and hundreds of app connectors behind an OpenAI-compatible Agents API. Define an agent once — model, instructions, skills, and policy boundaries — then run it through your API, product, CLI, Slack, or scheduled workflows. Every run is traced end-to-end: model steps, tool calls, errors, tokens, and compute hours. Each task finishes with an itemized receipt showing compute, model spend, and proprietary skill calls, with BYOK/BYOS options to avoid token markups. Built for developers and teams shipping production agents who don't want to build or operate the execution stack themselves.

Automation
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Added on
Nov 4, 2026
OpenAI-compatible APIModel agnosticDurable sessionsManaged sandboxesMCP connectionsSkillsWebhooksBYOK / BYOSPer-task receipts
Product information

Everything worth knowing about Rebyte

The complete picture — from everyday features to the technical detail builders and IT folks dig for.

Core features

What it actually does

Durable Execution
Sessions persist context and state so agents keep working across conversations instead of restarting from zero every turn.
Real Tools & Connected Apps
Agents get browsers, files, compute, Skills, and hundreds of connected apps including Slack, Gmail, Notion, Google Drive, Salesforce, and Microsoft Teams.
Runtime Controls & Permissions
Define capabilities and boundaries once — approve models, Skills, MCP servers, tools, and apps, then restrict network access, credentials, execution steps, and spend. The same policy applies to every run and surface.
Observability & Feedback Loop
Trace every model step, tool call, error, token, and cost. Annotate which outcomes are worth repeating and feed production evidence back into instructions, Skills, and evaluations.
Per-Task Receipts
Every task finishes with a line-item bill: compute hours ($0.10/hr active, $0 idle), each model call with token counts, proprietary skill calls, and totals in credits and dollars.
Technical capabilities
OpenAI Agents API Compatible
Model-agnostic runtime called through the official openai client (TypeScript 7.15.0, Python 3.13.0) against https://api.rebyte.ai/v1. Bring your own Anthropic, OpenAI, or Google key, or use an existing Claude Max / Gemini subscription with no token markup.
MCP, Skills, Vaults & Webhooks
HTTP and stdio MCP connections, inline ZIP skills auto-scanned for SKILL.md, encrypted Vaults that keep service credentials outside the sandbox, signed webhooks with retries, and Dynamic Workflow where model-generated JavaScript composes session tools with durable function handoffs.
Must watch videos

Who uses it

Real use cases, no hype
Durable Background Agents
Run long jobs that survive across sessions without building your own execution stack.
Slack & CLI Deployment
Ship one agent definition to API, product, CLI, or Slack with identical policy.
Sandboxed Code Execution
Give agents a real filesystem, browser, and compute with network restrictions.
Cost-Attributed Production Agents
Bill every task down to compute hours, tokens, and skill calls.
Scheduled Agent Runs
Recurring tasks on continuous or isolated sessions, pinned to a workflow version.
MCP & App Integrations
Wire Gmail, Notion, Salesforce, and Drive through managed connectors and Vaults.
Agent Evaluation Loop
Annotate production turns and feed results back into instructions and evaluations.
What's great
  • Drop-in OpenAI Agents API compatibility
  • Durable sessions keep context across runs
  • Per-task itemized receipts show real spend
  • BYOK/BYOS means zero token margin
  • Free tier with unlimited agent computers
Technical strengths
  • Hosted sandbox with browser, files, and compute built in
  • Langfuse-backed traces down to model step and tool call
  • Encrypted Vaults keep MCP credentials out of the sandbox
Where it falls short
  • Multi-agent orchestration not supported yet
  • No plugins support yet
  • No historical event replay — live streaming only
  • Young ecosystem, thin community and few references
Technical limitations
  • Raw HTTP clients must hand-set the OpenAI-Beta header
  • Web search has no location targeting; cached mode runs live
  • Fast SDK churn — 0.2.x through 0.9.0 all shipped breaking changes
For technical folks

The deep-dive specs

API Endpoint
https://api.rebyte.ai/v1
Protocol Compatibility
OpenAI Agents API (requires OpenAI-Beta: agents=v1 header)
Official Client
openai@7.15.0 (TypeScript), openai==3.13.0 (Python)
Runtime
Node.js 22+
Execution Tracing
Implemented through Langfuse
Compute Billing
$0.10/hr while active, $0 when idle
Environment Type
openai_hosted (Rebyte-managed compute)
Context Handling
Automatic compaction plus manual /compact; original items retained

FAQ

Includes technical Q&A
Yes. Daily free usage on every agent, no credit card required. Every plan gets unlimited agent computers and concurrent tasks — the upgrade buys governance, seats, saved history, and connectors. When you outgrow free usage, move to pay-as-you-go credits or bring your own key.

Traffic Insights

Monthly Visits

—

November 2026

Growth Rate

0%

vs last month

Dominance

0%

in Automation

Top Country

—

Top Countries Breakdown

—

Growth Trend

Stable

Traffic has remained stable.

Honest pricing

No sneaky tiers, no “contact sales”

Here's who each plan is actually for — and where the hidden charges might hit.

Personal
Yearly plan

Individuals

  • Generator
View Full Plans & Pricing on Rebyte

Official pricing, checkout, and plan upgrades are handled directly on rebyte.ai.

Reviews

What the internet actually thinks

Data refreshed weekly. No paid placements.

Trustpilot
Not reviewed yet
G2
G2
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Capterra
Not reviewed yet
Product Hunt
Not reviewed yet
COMMUNITY COMMENTS

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