Agent Zero vs AutoGPT (2026)

The agent connects to external tools through MCP servers by command or URL, installs capabilities from a Plugin Hub of 100+ community plugins with a security scan before install, writes and runs code to build tools it lacks, and reads credentials from named project secrets.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/docs/guides/mcp-setup.mdread 2026-09-27

Block categories span an MCP tools block, a Claude Code block, an E2B sandbox block, image, video and music generation via Ideogram, Flux, VEO3, Fal, Replicate and MusicGen, a generic HTTP Request block with multipart upload, host-scoped authentication and safe-redirect protection, a read-only SQL Query block, Reddit blocks via PRAW, and Pinecone and Mem0 blocks. Automations import from n8n, Make.com and Zapier.

A Block Development SDK lets customers build, register and ship custom blocks using a provider pattern, with auto-generated block documentation surfaced in builder search. A Run Agent block executes another agent as a sub-agent, and library operation blocks add agents from the store programmatically. Through the MCP tools block, the platform calls out to other systems.

Sourceagpt.co pricing page, docs.agpt.co and agpt.co block documentationread 2026-08-31

Every agent can create subordinate agents to break down work. The superior gives tasks and receives reports while each subordinate keeps its own focused context, v2.10 added durable subordinate lifecycles, and agent profiles set each agent's working style and tool policies.

Sourcegithub.com/agent0ai/agent-zeroread 2026-09-27

A Run Agent block runs another agent as a sub-agent within a workflow, taking the agent's graph ID, version and input data and returning its outputs, with input and output schemas defining the data passed between parent and child, for modular workflows, specialized agents called from a main orchestration agent, and dynamic routing by input type.

The visual builder composes blocks with branching, looping and routing logic, and AI reasoning blocks include an AI Condition block that lets a model decide a branch. Agents run continuously and on schedules, with execution, scheduling and notification managers in the backend. How failed sub-agents are retried, and whether branches run in parallel, is not described.

Sourceagpt.co and docs.agpt.co block documentation, agpt.co home and pricing pagesread 2026-08-31

Tasks let the agent run work later, repeatedly or on demand, in scheduled, planned and ad hoc types, including recurring checks and monitoring tasks run with project scoped context and credentials, so the agent wakes on a schedule without a person starting it. Other work arrives through the web UI, desktop launcher and A0 CLI.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/docs/guides/usage.mdread 2026-09-27

Webhook blocks give an inbound event route, scheduling blocks give recurrence with a dedicated scheduling manager in the backend, and a public REST API exposes agent execution programmatically. Agents run continuously and trigger from external sources, with execution, scheduling and notification managers and websockets for real-time communication in the backend. A sub-agent block allows one agent to start another. No chat, email, Slack or messaging channel through which a person addresses an agent is offered beyond the platform's own interface.

Sourceagpt.co misc block documentation, agpt.co home and pricing pages, docs.agpt.co platform documentationread 2026-08-31

The memory dashboard lists imported knowledge chunks beside remembered entries, and Agent Zero offers agentic RAG, with a self hosted SearXNG search for research. Agent Zero does not say how customer documents are ingested, indexed or refreshed. Projects store files the agent can work with rather than an index.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/docs/guides/memory.mdread 2026-09-27

A Vector and Memory block category covers Pinecone vector storage and Mem0 long-term memory, connecting agents to a vector index the customer keeps and queries.

Data transformation blocks include a spreadsheet reader, XML parser, text encoding and replacement and list and dictionary manipulation, an HTTP Request block supports multipart upload for document retrieval, and a read-only SQL Query block reaches the customer's own platform data. Mem0 blocks separately support knowledge building by accumulating facts over time. AI reasoning blocks include a Fact Checker.

The customer supplies the Pinecone index, since AutoGPT bundles no knowledge base of its own, and no chunking strategy, embedding model, retrieval configuration or citation behavior is described.

Sourceagpt.co pricing page, docs.agpt.co platform blocks documentationread 2026-08-31

Memory keeps facts, solutions and preferences across sessions so future chats do not start from zero. It is scoped as global or per project, so one client's memory does not leak into other work, and it is organized into main, fragments, solutions and skills areas, with a dashboard where the user can search, edit and delete single entries.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/docs/guides/memory.mdread 2026-09-27

Mem0 memory blocks let an agent add memories that persist across workflow executions, optionally scoped to the run or the agent and tagged with metadata, retrieve the latest memory or all memories with the same scoping, and search memory, with context review, memory export and listing memories to find outdated or incorrect information among the uses. Memory controls let the user review and forget stored facts and preferences when memory is enabled, and a persistent key-value storage block is shared across tasks and workflows. How long memories are kept is not stated.

Sourceagpt.co basic blocks documentation and pricing pageread 2026-09-29

The user can pause and intervene in a running chat, Time Travel keeps snapshots of the workspace to inspect diffs and revert, agent profiles scope which tools and skills an agent may use (v2.9), and plugins are security scanned before install. There is no step where a person approves an action before it runs.

Sourcegithub.com/agent0ai/agent-zeroread 2026-09-27

A Human In The Loop block pauses workflow execution and presents data to a human reviewer for approval, waiting until the reviewer approves or rejects it and routing the data to separate approved and rejected outputs, with an option letting the reviewer edit the data before deciding and an optional review message explaining the decision.

Uses include reviewing AI-generated content before publishing and requiring manager approval for purchases, access requests or configuration changes. Approval gates can be placed anywhere in a workflow, including nested workflows, with execution pausing for review and then resuming. Guardrails beside the approval step include per-task LLM budget caps, a spending cap per Expert, host-scoped HTTP credentials and safe-redirect protection.

Sourceagpt.co basic blocks documentation and pricing pageread 2026-09-29

There is no SSO, identity integration or role model for who in an organization can use an instance, and no attestation or trust page. Named project secrets, plugin security scans and per profile tool scoping control what the agent touches, and the agent runs on the customer's own machine.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/docs/guides/usage.mdread 2026-09-27

Access controls include OAuth 2.0 based single sign on, Google sign-in, API key generation, rotation and revocation, a credentials manager with scope filtering, host-scoped HTTP credentials, OAuth callback hardening and token validation, DNS-rebinding and safe-redirect protection, ClamAV scanning of uploaded files, and admin impersonation with audit trails.

Admin controls and roles and security and compliance options are listed for a Team plan marked coming soon. No security certification, attestation or trust page is published, and no SAML, SCIM or role based access control is available on the current plans.

Sourceagpt.co pricing page and docs indexread 2026-09-29

The UI streams each agent's reasoning and tool use, prompts and tools sit in inspectable files, Time Travel shows workspace diffs per snapshot, and a context window indicator arrived in v2.11. There is no run trace export, audit log or metrics view.

Sourcegithub.com/agent0ai/agent-zeroread 2026-09-27

Cost is shown in dollars for every task, node and block, and runs stream live over WebSocket with step counts and activity summaries. Task history is searchable, and any entry opens in the builder with all execution steps preserved.

Per-model token consumption, cache hits and cost are tracked on every task, admin impersonation carries audit trails, and a read-only SQL Query block gives access to the customer's own platform data including custom analytics views. The execution diagnostics and analytics dashboards are admin tools for self hosters and are not exposed to cloud customers. No retention period for run history, or reasoning trace for AI blocks beyond inputs and outputs, is described.

Sourceagpt.co pricing page and block documentationread 2026-09-29

The framework runs on the customer's own hardware in a Docker container, installed through a desktop launcher, a CLI or headless install, or on a remote server, and can use local models through Ollama or LM Studio so nothing leaves the machine.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/readme.mdread 2026-09-27

The platform is open source with a public repository and self-hosts free via Docker Compose, with the customer supplying their own model API keys so data and inference remain on their own infrastructure, and Llama among the pre-integrated models allows local model execution.

The hosted cloud provides Pro and Max subscriptions, with a Team plan marked coming soon, and a pay-as-you-go credit wallet. Platform code is licensed under Polyform Shield, which permits use, modification and self-hosting but bars building a competing product, while the wider repository is MIT. No region selection or data residency commitment for the hosted cloud is documented.

Sourcegithub.com/significant-gravitas/autogpt, agpt.co pricing page, docs.agpt.co self-hosting documentationread 2026-08-31

A Plugin Hub offers 100+ community plugins with one click install, and Skills and agent profiles package reusable behavior. Customers assemble these into their own agent, and there are no ready to use agents.

Sourceagent-zero.airead 2026-09-27

AutoGPT runs a public marketplace of community-built agents carrying ratings and real run counts, with one-click adds to a personal library. Library operation blocks add an agent from the store to a personal library using its store listing version ID, returning the library entry and agent graph IDs for execution, and retrieve all library agents with search and pagination, for uses such as agent provisioning, onboarding flows that seed starter agents, and adding agents on demand when a user asks for a capability. Store listing version IDs pin the adopted version.

Sourceagpt.co library and store operations block documentation, agpt.co home and pricing pagesread 2026-08-31

The user picks models from OpenAI, Anthropic, Google Gemini, Azure, xAI, Mistral, DeepSeek, Groq, OpenRouter, GitHub Copilot, Hugging Face and local Ollama or LM Studio, sets model presets per project, and can sign in with an OpenAI Codex account.

Sourceagent-zero.airead 2026-09-27

OpenAI, Anthropic, Groq and Llama models come pre-integrated, with the model chosen per block, and third-party integration guides show additional providers connected through AI blocks. Self-hosting is free with the customer supplying their own model API keys, while the hosted cloud uses a pay-as-you-go credit wallet for agent runs. AI reasoning blocks including AI Condition, Structured Response, AI Conversation, AI List Generator and Fact Checker each carry model configuration. No automatic routing between models at run time is described.

Sourceagpt.co pricing and home pages, docs.agpt.co platform documentationread 2026-08-31

Plugins, Skills, custom tools and code level extensions change the framework, and the A0 CLI drives it from the host. Agent Zero uses MCP only as a client and offers no external API, MCP server or A2A endpoint an outside program can call. For architecture detail, it points to DeepWiki, a third party site.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/docs/developer/mcp-configuration.mdread 2026-09-27

A public REST API with an OpenAPI schema and generated SDK clients supports programmatic agent creation and execution, and a Block Development SDK lets customers build, register and ship custom blocks using a provider pattern that configures credentials and per run costs, with auto generated documentation surfacing custom blocks in builder search.

The platform is open source with a public repository and free self-hosting via Docker Compose; platform code is licensed under Polyform Shield with the wider repository MIT. The MCP tools block works in the other direction, with the platform calling out, and no first party MCP server exposes AutoGPT agents to external assistants.

Sourcegithub.com/significant-gravitas/autogpt, docs.agpt.co and dev-docs.agpt.co block SDK guide, agpt.co pricing pageread 2026-08-31

Debugging aids ship, the visible reasoning stream, Time Travel diffs and revert, and a Context Doctor and context usage indicator in v2.11. There is no harness for scoring or comparing agent versions. When the agent tests its own code, that is part of the user's task rather than a check on the agent.

Sourcegithub.com/agent0ai/agent-zero/releasesread 2026-09-27

The plan comparison lists Correctness and Accuracy Scoring, quality scores for each execution with alerts on regressions, and a dry-run self-repair loop in which newly generated workflows are simulated and errors caught and fixed automatically.

Run-from-builder execution, task presets and version-pinned schedules support testing a specific workflow version. Both appear only as single lines in that table, and the scoring method, test sets and recorded expected outputs are not described.

The execution analytics and diagnostics dashboards are admin tools for self hosters and are not exposed to cloud customers.

Sourceagpt.co pricing pageread 2026-09-29

The agent drives a full Linux XFCE desktop and its GUI applications and a native browser with DOM annotation for clicking, typing and capturing elements, rebuilt in v2.10 as an interactive shared viewport, alongside shell and LibreOffice document cowork.

Sourceraw.githubusercontent.com/agent0ai/agent-zero/main/readme.mdread 2026-09-27

Stagehand Blocks bring AI powered browser automation through Stagehand and Browserbase: Stagehand Act performs click, fill, type, press, scroll and select actions described in natural language, alongside Extract and Observe, and each block requires the customer's Browserbase project ID. Browser automation also runs through a Chromium-backed agent browser, and self hosters bring their own keys and infrastructure for browser automation and other features that rely on third-party services. The browser engine is a third party service the customer connects, and the E2B sandbox block runs code.

Sourceagpt.co Stagehand blocks documentation and pricing pageread 2026-09-29