Everything you need to scale autonomous agents

The full set of features behind building, running, and governing AI agents, broken down by category.

Building agents

  • Drag & drop no-code builder: for agents, tools, workflows, evals and workforces
  • Invent, our AI copilot: describe an agent and it wires the tools, knowledge, and evals
  • MCP for coding agents: Claude Code, Codex and friends can build and manage your agents
  • Sandboxed code execution (Python and Javascript)
  • Version history with draft, active, and pinned states and one-click rollback
  • Test, preview, and dry-runs with mocked outputs
OpenAIClaudeGemini

Models

  • All major LLMs: available out of the box
  • Use via Relevance, or add your API keys
  • BYO models
  • Fallback models on failure: protect against vendor outages
  • Switch model after N tokens (for cost optimization)
  • Eval-driven model selection: use the cheapest model that does the job
HubSpotSalesforceSlackNotion

Integrations & credentials

  • 1,000+ pre-built app integrations
  • Managed OAuth and API key flows
  • Automatic OAuth token refresh and expiry handling
  • Secret storage and credential vaulting per org and project
  • Auth brokering: the model never sees keys or URLs
  • Per-tool connected-account selection
  • Custom MCP server registration: with auth-type config and custom headers

Knowledge & memory

  • Full RAG ingestion pipeline: upload, parse, chunk, embed, index
  • Hybrid retrieval (vector, keyword/BM25, and ensemble)
  • Configurable chunking strategies (character, semantic)
  • Managed vector store with per-project isolation
  • Scheduled knowledge re-sync (Google Drive, Notion, Confluence, SharePoint)
  • Long-term agent memory for preferences, facts, and instructions
  • Observational memory and context compaction for long runs
  • Tables for structured data agents read and write
  • Custom metadata filled by agents

Orchestration

  • Visual graph of your agent hierachy
  • Forced handover and escalation edges mid-task
  • "Agent-decide" dynamic routing
  • Parallel agent execution with result merging
  • Sub-agents exposed as callable tools with structured I/O
GmailSalesforceSlackTeams

Triggers & channels

  • Hundreds of pre-built triggers from events in your apps
  • Trigger by API or webhook
  • Scheduled and cron triggers (including agent self-scheduling)
  • Build custom data signals as a trigger
  • Inbound voice and phone-call agents
  • Data-sync triggers (Gmail, Salesforce, HubSpot, Airtable, Jira, Notion, Drive)
  • Slack and Teams channels with threaded replies
  • Bulk trigger: run many agents over a dataset
  • Debouncing, queueing and concurrency control
  • Hosted chat app and mobile app
  • Embeddable chat widget

Human oversight & approvals

  • Per-action approval: required, not needed or up to agent
  • Escalate-to-human tool with reason and context
  • Bulk approve, reject, and respond
  • Pause and resume of the queue
  • Autonomy step limits: limit how deep an agent can go without oversight
  • Cost-based pauses
  • Terminate-on-limit

Evals

  • Set up Checks and Test Suites to define performance expectations
  • Pre-publish checks with thresholds
  • Production sampling to catch drift and regressions
  • Alerts if issues detected
  • Eval-driven cost and performance optimization

Reliability & scale

  • Durable execution and checkpointing
  • Error-categorization framework (rate-limit, upstream, timeout, validation, auth, billing)
  • Retry policy with exponential backoff
  • Idempotency-aware retries
  • Dead-letter queue
  • Autoscaling workers
  • Work-hours pacing
  • Per-category error metrics and dashboards by integration
  • Actionable error CTAs (reconnect account, top up credits)

Pre-built tool capabilities

  • 1000s of pre-built integrations
  • Image generation across 24+ models
  • Browser automation
  • Web scraping (Firecrawl, Apify, Browserless)
  • Web search with many vendors and fallbacks
  • File parsing and export to S3 (PDF, Word, Excel)
  • Database query steps (Postgres, Snowflake, BigQuery, MongoDB, Supabase)
  • Communication steps (email, Slack, Twilio SMS/voice, WhatsApp, Teams)

Enterprise security & governance

  • SOC 2 Type II
  • GDPR
  • SSO and SAML
  • Fine-grained RBAC across org, project, agent, tool, knowledge, and conversation
  • SCIM directory sync
  • Multi-region deployment and data residency, including a dedicated EU environment
  • PII masking before data reaches the model
  • Audit logging (user, IP, device, timestamp)
  • Org, project, and data isolation
  • Conversation-level sharing controls

Billing & multi-tenancy

  • Usage-based billing and credits metering for your end-users
  • Plan tiers and entitlements (seats, projects, knowledge limits)
  • Per-org and per-project concurrency limits and queueing
  • Overage and top-up flows

Observability & analytics

  • Per-agent analytics (credits used, tasks processed, events)
  • Conversation-level tracking (status, cost, tool stats, tags)
  • Distributed tracing wired into logs and metrics
  • Telemetry export via OpenTelemetry (OTEL)
  • Delta Sharing for data export
  • Concurrency and usage analytics per org and project

Sharing

  • Marketplace to browse, clone, and submit agents, tools, and workforces
  • Asset cloning with lineage tracking
  • Public and embeddable agent publishing controls