Beeuni

Beeuni is an AI agent platform featuring lasting context, connected tools, and a human-reviewed learning loop.

Beeuni is a computer for AI agents designed to maintain lasting context and a learning loop controlled by users. Agents work with connected tools, follow instructions, and propose changes to their skills, memory, and instructions after completing a task. Users review these proposed changes before they become part of the project, enabling recursive self-improvement with an approval step. Each task runs in an isolated sandbox with a full audit trail and scoped permissions. The platform supports over three thousand apps, MCP, OpenAPI, GraphQL, and HTTP integrations, and allows users to bring any model provider. It is built for teams and individuals wanting agents that compound knowledge over time instead of starting over.

Beeuni at a glance

Best for: Software engineer
Runs on: Web, CLI
Pricing: Free
Released: October 2026
Category: AI agent tool
Website: beeuni.ai

Key features

Retains lasting context and memory as inspectable files
Proposes improvements to skills, instructions, and memory
Connects to 3,000+ apps, MCP, OpenAPI, GraphQL, and HTTP
Runs tasks in isolated microVM sandboxes with audit trails
Brokers credentials securely without exposing raw keys
Supports parallel sessions on separate branches
Enables human review of changes before they land in main

Use it for

Drafting a Monday revenue brief using Stripe, HubSpot, and Linear
Summarizing won and lost deals for sales sync meetings
Drafting postmortems from incident channels
Running thousands of parallel agent sessions

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MyAgent — It features built-in permission controls, long-term memory, and skill self-evolution.
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Waku Agent — Local-first memory storage and readable Python code for AI agent logic.
Rakazo — Complete ownership of data, models, and execution environment.
Caura — Governed memory providing persistent knowledge sharing for AI agent fleets.
BrowserOS — Runs entirely locally and lets AI agents use real user logins to complete tasks.

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