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Agenta

Agenta
: How to use it, features, and the business problems it solves

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What is Agenta?

An open-source (MIT) workspace for building and running AI agents. Build agents by chatting, connect them to your apps, and run them in the background with approval flows, tracing, and version history. Positioned as "the open-source workspace for your agents," it supports 1,000+ integrations (MCP/Composio) and is model-agnostic. Self-hosting is free, with a cloud version available.

Business problems it solves

About "Agenta"

What is Agenta

Agenta is an open-source (MIT) workspace for building and running AI agents: build agents by chatting, connect them to your apps, and run them in the background with approval flows, tracing, and version history. Under the banner "The open-source workspace for your agents," teams build agents together and improve them through feedback. Self-hosting is free, and a cloud version is also available.

Agenta has shifted its positioning from "prompt-management, evaluation-centric LLMOps" to a "workspace for building and running agents." Build agents by chatting, run them in the background on schedules or events, control which actions run automatically vs. require approval, trace model calls and track cost, keep version history, and reuse skills. It handles 1,000+ integrations (MCP/Composio) and harnesses like Claude Code and Codex.

Provider
Agenta AI (Agentatech UG / Germany)
Category
Open-source workspace for building/running AI agents
Key features
Chat-based agent building, background runs, approval/permissions, tracing/cost, version history
Integrations/models
1,000+ integrations (MCP/Composio), Claude Code etc. / OpenAI, Claude, Gemini (model-agnostic)
Pricing
Hobby free / Pro $29, Business $299 (monthly). Self-host free (MIT)

How to use

Build agents by chatting, then connect and run them.

STEP 01

Build an agent

Instruct via chat to build an agent for your goal.

STEP 02

Connect

Link your own tools via 1,000+ integrations (MCP/Composio).

STEP 03

Run and approve

Run on schedules/events, and require approval for sensitive actions.

STEP 04

Improve and share

Review traces and history, improve, and share with the team.

Self-hosting is free under the MIT license (Docker Compose/Helm). The cloud Hobby tier is free with limits such as number of runs. Model token costs are borne on each provider's side.

Key features

01Chat-based agent building and sharing

Create agents by instructing via chat, and share and improve them with the team. It includes a shared-file workspace that you and your agents use, plus reusable skills.

02Background runs, approvals, tracing

Supports background runs triggered by schedules or events, and permission control over which actions run automatically vs. require approval. It also traces model calls, tracks requests, tokens, latency, and estimated cost, and keeps version history.

03Integrations, models, open source

Supports 1,000+ integrations (Gmail, Slack, Notion, GitHub, etc.) via MCP servers or Composio. It is agnostic to major providers such as OpenAI, Claude, Gemini, and Mistral, and can also handle harnesses like Claude Code and Codex. Under the MIT license, you can self-host with the same setup as the cloud.

Pricing

Self-hosting is free; the cloud tiers below are monthly (no annual billing is advertised).

PlanMonthlyHighlights
Hobby$02 members, 5,000 runs/month, 1-week trace retention
Pro$29Unlimited members, 10,000 runs/month, 1-month retention
Business$299RBAC, SSO, SOC 2 Type II, 3-month retention
EnterpriseContact usAudit logs, dedicated deployment, etc.

Self-hosting (open source) is free with unlimited users/projects. Model token costs apply separately on each provider's side. Prices are in USD and subject to change; check the official site for the latest (as of August 2026).

How it differs from other AI agent/LLM platforms

Agenta's strength is that you can build agents by chatting, run them in the background with approvals, tracing, and history, and self-host it as open source. Unlike app-building-centric platforms, it differs in operations (approvals, execution, observability) and in being open source and self-hostable.

AspectAgentaDifyTraditional manual work
FocusAgent building/running workspaceLLM app dev platformManual management
StrengthApprovals/tracing, history, OSS self-hostRAG/workflow buildingFlexible but ad hoc
ModelsAgnostic (major providers)Various models

LLM app platform Dify and traditional manual management are the comparison points. If you want to run everything from building agents to operating them with approvals, execution, and observability — while self-hosting as open source — Agenta is a strong choice.

The information on this page is based on the official website as of August 2026. Please check the official site for the latest specs and pricing.

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