Agentic Index
BAND vs Temporal Cortex (2026)
BAND last verified ·Temporal Cortex last verified
BAND and Temporal Cortex both build shared infrastructure for agents that need to coordinate, at very different scopes. That verdict is the Agentic Index coverage score, graded from each vendor's own published materials.
BAND is interaction infrastructure for agents, a shared layer where agents built in any framework and people work together in chat rooms, delegating work to each other. Temporal Cortex is scheduling infrastructure specifically, giving any agent reliable calendar booking over MCP, A2A and REST with atomic booking and deterministic time logic. It runs free locally or on a free managed Starter plan, and developer plans start at $29 a month. General coordination against one hard problem solved properly, and double booking is a genuinely hard problem.
On the Agentic Index agent infrastructure ranking, neither BAND nor Temporal Cortex clears the bar, which asks for all five production contract capabilities documented in full. BAND documents none of the five in full; Temporal Cortex does not document security and identity governance in full, nor testing, debugging and optimization. 33 of the 186 vendors in the lane clear it. See the agent infrastructure ranking
This comparison is published by Agentic Index, an independent agentic AI vendor research platform. BAND and Temporal Cortex are each graded against the same 14 capability Agentic Index taxonomy, from the vendor's own public materials under the Agentic Index verification standard, alongside 1,084 researched vendors. No vendor pays for placement and no vendor has reviewed this page. How this evidence is graded
Choose BAND if
- Agents from different frameworks need to work together and nothing currently lets them.
- Multi agent coordination is the need, and BAND's rooms route work and track tasks across agents from different frameworks, where Temporal Cortex coordinates only concurrent bookings.
- Humans and agents in shared rooms is the collaboration model you are building toward.
Choose Temporal Cortex if
- Calendar scheduling is your actual failure point and atomic booking prevents double bookings.
- You want a person to approve an agent's booking before it lands, and an audit record of what agents booked.
- Protocol support across MCP, A2A and REST means it works with whatever you built.
| Feature | B BAND |
T Temporal Cortex |
|---|---|---|
| Action & orchestration | ||
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Integrations & Tool Calling Ability to connect agents to real systems through native integrations, OAuth-authenticated actions, custom tools, APIs, webhooks, or MCP-compatible tools. |
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BANDIntegrations & Tool Calling Connected agents get platform tools for messaging, contacts and tasks inside Band. A Slack adapter bridges an agent into Slack threads, and an A2A adapter forwards room messages to outside agents. The tools a connected agent uses to act in other systems are its own. Beyond these bridges, Band offers no connector catalog or custom tools of its own for acting in outside systems. SourceBand, docs.band.ai/integrations/overview and integrations/sdks/tutorials/slackread 2026-09-21 |
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Temporal CortexIntegrations & Tool Calling Agents get 18 scheduling tools over Google Calendar and Microsoft Outlook (through OAuth 2.0) and CalDAV calendars such as iCloud and Fastmail. They include contact search across Google People and Microsoft Graph and a book_slot tool that writes events. Agents reach them through Temporal Cortex's MCP server, A2A or the REST API, and each call reads or writes the customer's calendars with authentication. Sourcetemporal-cortex.com/llms-full.txtread 2026-09-22 |
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Workflow Orchestration Ability to sequence, branch, retry, route, and combine deterministic workflow nodes with autonomous agent steps. |
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BANDWorkflow Orchestration Chat rooms coordinate many agents and humans with @mention routing and message visibility rules. Agents from different frameworks delegate to each other across rooms, and chat tasks with a room board track work as it moves between participants. SourceBand, docs.band.ai/core-concepts/chat-rooms and api/agent-api/agent-api-chat-tasksread 2026-09-21 |
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Temporal CortexWorkflow Orchestration A multi step booking is carried out by the platform itself. The book_slot tool locks the slot, verifies there is no conflict, writes the event and releases the lock, rolling everything back if a step fails. On the managed platform, distributed locking coordinates concurrent agents. The customer's agent sequences the other tools inside its own framework, following an orient, resolve, query and book pattern. The booking runs as one transaction on Temporal Cortex's side, with rollback, and is safe to retry. There are no workflows that combine deterministic nodes with autonomous agent steps, and no branching or routing. Sourcetemporal-cortex.com/llms-full.txtread 2026-09-22 |
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Triggers & Channel Coverage How agents wake up and where they work: schedules, webhooks, message events, CRM events, inbox events, chat, email, voice, and collaboration tools. |
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BANDTriggers & Channel Coverage Agents receive real time events over WebSocket when they are @mentioned in a chat room, assigned to a room, sent a contact request or given a task. A Slack adapter carries Slack threads in. All of these come from other participants. Band describes no schedule, or event source in an outside system, that wakes an agent on its own. SourceBand, docs.band.ai/websocket/agent/overviewread 2026-09-21 |
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Temporal CortexTriggers & Channel Coverage Scheduling requests reach a Temporal Cortex user through several channels. A Temporal Link serves a booking page to people and JSON to agents, A2A Agent Cards handle negotiation between agents, and MCP tools and the REST API take requests directly. The owner's policies decide each request, and the platform's rules handle it. Nothing starts the customer's own agent on an event or a schedule. Temporal Cortex's webhooks carry inbound sign up and billing events for its own operations. Sourcetemporal-cortex.com/open-schedulingread 2026-09-22 |
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| Knowledge & context | ||
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Knowledge Grounding & RAG Ability to ground agent behavior in company data through document ingestion, retrieval, external knowledge APIs, semantic search, or RAG layers. |
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BANDKnowledge Grounding & RAG Agents bring their own knowledge, and Band coordinates them. Band offers no document ingestion, index or retrieval store over the customer's knowledge. SourceBand, docs.band.ai/welcome and llms.txtread 2026-09-21 |
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Temporal CortexKnowledge Grounding & RAG Contact search queries Google People and Microsoft Graph live, and the availability tools read calendars live. There is no ingestion, indexing, retrieval or RAG layer over the customer's documents or company data. Sourcetemporal-cortex.com/llms-full.txtread 2026-09-22 |
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Memory & State Persistence Ability to persist context across a run, conversation, workflow, user, team, or longer-term memory layer. |
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BANDMemory & State Persistence Connected agents get memory tools and a Memories API from Band, with full Memory API access on Enterprise. Adapters such as Letta keep memory per room, and room context stays in sync across participants. Band does not say what scope or lifetime its own memory store has. SourceBand, docs.band.ai/api/agent-api/agent-api-memories and band.ai/pricingread 2026-09-21 |
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Temporal CortexMemory & State Persistence Settings, booking rules, caller profiles with trust levels and policies are stored. The platform applies them as rules to each request, not as context an agent reads to decide. Its distributed locks last only for a booking. There is no memory layer that keeps an agent's context across runs. Sourcetemporal-cortex.com/docs/rest-apiread 2026-09-22 |
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| Control & trust | ||
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Human Oversight & Guardrails Approval steps, consent checkpoints, escalation rules, structured guardrails, policy constraints, and pause/resume controls. |
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BANDHuman Oversight & Guardrails Humans work in the same chat rooms as agents and can see and steer their work. Contact between agents across a boundary requires consent. Band describes no gate that holds an agent's action for a person's approval before it runs. SourceBand, docs.band.ai/core-concepts/contacts and core-concepts/chat-roomsread 2026-09-21 |
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Temporal CortexHuman Oversight & Guardrails A person can be put in front of an agent's booking. When another agent sends request_booking, the recipient's policies decide whether it is accepted automatically, held for the recipient's approval or blocked. The API's booking rules carry a confirm_before_booking setting beside minimum notice and advance booking limits. Policies set per caller domain or trust level allow or deny requests by priority, and the content firewall strips injection attempts before any tool runs. The approval step sits at the policy layer, before the booking commits. Temporal Cortex does not say how the approval request reaches the person. Sourcetemporal-cortex.com/llms-full.txtread 2026-09-22 |
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Security, Identity & Governance RBAC, SSO, auditability, encryption, least-privilege tool access, compliance posture, and data handling policy. |
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BANDSecurity, Identity & Governance An access model governs who can reach an agent, with agent visibility settings, handles, a contact system and consent for contact across boundaries. Enterprise adds multiple users and teams, with retention set to the customer's compliance needs. Band names no identity provider integration or attestation, and publishes no trust center. SourceBand, docs.band.ai/core-concepts/contacts and band.ai/pricingread 2026-09-21 |
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Temporal CortexSecurity, Identity & Governance SSO runs through SAML and OIDC with Okta, Azure AD and Google Workspace. Organizations get multiple users and seat management, API keys are stored only as SHA-256 hashes, and caller based policies are enforced on every request. Data is protected with TLS 1.3 and encryption at rest with a separate schema per organization, and audit logs export to a SIEM. Several of these come on the Enterprise tier. The company says it is designed for SOC 2 Type II compliance, and one card on its Enterprise page reads SOC 2 Type II Compliance, but no SOC 2 report is published. It offers a HIPAA BAA as a contract. Sourcetemporal-cortex.com/enterpriseread 2026-09-22 |
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Observability & Auditability Traces, logs, execution histories, metrics, audit events, and debugging detail for production agent behavior. |
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BANDObservability & Auditability Tool calls, tool results, thoughts, errors and tasks appear as events in the chat room alongside messages. Band also has an activity API, Pro adds chat data export on demand, and retention is set by plan, two weeks on Free and custom on Enterprise. Band describes no audit log separate from the conversation record. SourceBand, docs.band.ai/websocket/human/chat-room/event-created and band.ai/pricingread 2026-09-21 |
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Temporal CortexObservability & Auditability The managed platform records what agents do. It has an activity feed of booking and calendar activity per tenant, a dashboard, and daily usage metrics counting bookings and API calls. Enterprise adds audit log export with SIEM integration and custom retention policies. The activity feed covers bookings, not every read the agent made. Sourcetemporal-cortex.com/docs/rest-apiread 2026-09-22 |
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Deployment & Data Residency Deployment modes and options, including SaaS, dedicated cloud, VPC, on-prem, hybrid, local runtime, and self-hosting. |
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BANDDeployment & Data Residency Every plan is a hosted service, and Band publishes no self hosted, private cloud or region selection option. Connected agents run wherever their owners host them, separate from Band itself. SourceBand, band.ai/pricing and docs.band.ai/integrations/sdks/tutorials/coding-agentsread 2026-09-21 |
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Temporal CortexDeployment & Data Residency There are three ways to deploy. A local MCP server started with npx keeps credentials on the user's machine. Temporal Cortex also runs a managed platform. The full platform (API, MCP server, database and portal) can be self hosted through Docker Compose or Terraform modules on AWS, GCP or Azure. Enterprise customers can choose US or EU data residency. Sourcetemporal-cortex.com/enterpriseread 2026-09-22 |
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| Solution readiness | ||
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Prebuilt Agents, Templates & Packs Ready-made workflows, packaged employees, templates, blueprints, industry solutions, and role-specific agents that reduce time-to-value. |
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BANDPrebuilt Agents, Templates & Packs Customers connect their own agents to Band. Band adds a built in demo agent, and Pro lets customers create native agents. Band describes no set of ready made agents or templates for customers to adopt. SourceBand, band.ai homepage, pricing and docs.band.ai/getting-started/setupread 2026-09-21 |
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Temporal CortexPrebuilt Agents, Templates & Packs The company's own Agent Skills (router, datetime and scheduling) load a ready made scheduling workflow into Claude, Cursor and other agent platforms. Enterprise admins can provision skills and policies to users. The skills cover one workflow. There is no browsable catalog of ready made workflows, templates or role specific agents. Use case guides cover recruiting, sales, healthcare and other fields. Sourcetemporal-cortex.com/llms-full.txtread 2026-09-22 |
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| Platform extensibility | ||
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Model Flexibility & Routing Ability to work across multiple foundation models, route tasks to different models, or let buyers bring their own providers and keys. |
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BANDModel Flexibility & Routing Each connected agent keeps its own model through its own framework. For Band's native agents, Band describes no model selection or routing. SourceBand, docs.band.ai/integrations/adapters and band.ai homepageread 2026-09-21 |
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Temporal CortexModel Flexibility & Routing The tools work with whatever model and agent the customer runs. That covers Claude Desktop, Cursor, OpenClaw, Manus or any MCP client, plus LangGraph, CrewAI and the OpenAI Agents SDK, each with the customer's own model. Temporal Cortex names no model of its own and computes time deterministically instead of through a model, so model choice stays with the customer. Sourcetemporal-cortex.com/developersread 2026-09-22 |
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APIs, SDKs & MCP Extensibility Composability layer: stable APIs, SDKs, MCP tool consumption/serving, custom tools, and integration into internal systems. |
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BANDAPIs, SDKs & MCP Extensibility Developers get a Request API over REST for sending messages and managing rooms, contacts and memories, and a Subscriptions API over WebSocket for events. There is a published OpenAPI specification and a Python SDK. An MCP server serves AI assistants and platform automation, and an A2A gateway lets outside agents reach Band peers over HTTP and SSE. SourceBand, docs.band.ai/api/introduction, integrations/mcp/overview and integrations/sdks/tutorials/a2a-gatewayread 2026-09-21 |
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Temporal CortexAPIs, SDKs & MCP Extensibility Outside callers use a REST API with Bearer API keys covering calendars, availability, bookings, events, settings, callers, policies, keys and usage. There is also an MCP server over stdio and streamable HTTP, A2A for negotiation between agents, and packages on npm, crates.io and PyPI, with TypeScript and Python SDKs. Sourcetemporal-cortex.com/docs/rest-apiread 2026-09-22 |
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Testing, Debugging & Optimization Testing, debugging, scoring, retries, fallbacks, quality gates, and optimization loops for improving agent workflows before and after deployment. |
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BANDTesting, Debugging & Optimization Developers building with Band's Python SDK get unit and integration testing patterns, so they can test their Band agents before running them. Band describes no evaluation harness, scored test cases or quality gate that reports on agent behavior. SourceBand, docs.band.ai/integrations/sdks/tutorials/testing-agentsread 2026-09-21 |
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Temporal CortexTesting, Debugging & Optimization A comparison of frontier models against the Truth Engine on recurrence rules, and the company's own test counts, describe how its product performs. Customers get no way to test their own agents. There are no fixtures, datasets, scoring or quality gate for the customer's agent workflows. Sourcetemporal-cortex.com/llms-full.txtread 2026-09-22 |
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| Specialist automation | ||
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Browser & Computer Use Browser, desktop, or remote/local computer control for workflows that cannot be handled through stable APIs alone. |
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BANDBrowser & Computer Use Jam Desktop brings local Claude Code sessions online through Band so they can be coordinated. Band describes no browser, desktop or computer control by an agent. SourceBand, docs.band.ai/jam and llms.txtread 2026-09-21 |
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Temporal CortexBrowser & Computer Use The only browser channel is a booking page where people pick a slot on a Temporal Link. The tools reach calendars through provider APIs, and agents get no browser, desktop or computer control. Sourcetemporal-cortex.com/open-schedulingread 2026-09-22 |
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Pricing snapshot
Sourced from the Index pricing dataset · open each vendor's profile for full detail.
| Pricing | B BAND |
T Temporal Cortex |
|---|---|---|
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Entry price Lowest public entry point |
Free tier · Pro $17.99/mo · Enterprise custom | Free local and Starter · Developer Growth $29/mo + $0.10 per extra booking · Scale $99 · Enterprise custom (individual Pro $19/mo) |
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Pricing confidence How public the numbers are |
Public, exact | Public, exact |
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Billing Primary billing axis |
not published; early stage enterprise infrastructure | Successful bookings: monthly plans with prepaid booking bundles and per-booking overage; reads and availability checks free |
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Variable cost Workload / overage exposure |
Medium variable cost | Low variable cost |
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Free tier / trial Try before you buy |
Free tier
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Free tier
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Buying motion Self-serve vs sales call |
Mixed | Mixed |
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Pricing verified When this pricing was last checked |
Product updates
Newest first, each linked to its source.
BAND
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· Security / enterprise
Python SDK 7.0.0 locks down the local Band MCP server that agents use: every request now needs a valid bearer token, and requests without one are refused.
Source -
· Integrations
A new NOOA adapter in the Band Python SDK runs an agent class built with NVIDIA Object Oriented Agents as a participant in Band rooms.
Source -
· MCP / tool calling / API
BAND released its Python SDK, providing the runtime and transport layer required to connect Python-based AI agents to its collaborative communication platform.
Source
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