Key takeaways
- Agent-agnostic orchestration — works with Claude Code, Cursor, Codex, Amp, and OpenCode without vendor lock-in
- Tag @tembo anywhere (Slack, Linear, GitHub, PR comments) to assign work — no context switching required
- Multi-repo operations enable coordinated changes across repositories and platforms in a single task
FAQ
What is Tembo?
Tembo is an AI coding agent orchestration platform that delegates work to any coding agent (Claude Code, Cursor, Codex, etc.) with integrations for issue tracking, error monitoring, and team communication.
How much does Tembo cost?
Free tier with 5 credits/day. Pro at $60/mo (100 credits), Max at $200/mo (400 credits), Enterprise custom pricing with SSO and BYOK.
Which coding agents does Tembo support?
Claude Code, Codex, Cursor, Amp, and OpenCode — with configurable model providers including Anthropic, OpenAI, Google, and XAI.
What integrations does Tembo have?
GitHub, GitLab, Bitbucket for source control; Linear, Jira for issues; Sentry for error monitoring; Slack for communication; PostgreSQL, Supabase, AWS RDS for databases; plus MCP server support.
Executive Summary
Tembo is an AI coding agent orchestration platform that lets teams delegate work to any coding agent — Claude Code, Cursor, Codex, Amp, or OpenCode — through familiar interfaces like Slack, Linear, GitHub, and Jira.[1] Rather than building another coding agent, Tembo focuses on the orchestration layer: routing tasks to agents, managing multi-repo operations, and integrating with the tools teams already use.
| Attribute | Value |
|---|---|
| Company | Tembo |
| Founded | 2022 |
| Headquarters | Cincinnati, OH |
| Funding | $20M (Venrock, Great Point Ventures) |
| Stage | Production, running thousands of tasks daily |
Product Overview
Tembo positions itself as the orchestration layer for AI coding agents — a platform that sits above individual agents and coordinates their work across your development workflow.[2]
Core Capabilities
| Capability | Description |
|---|---|
| Agent Orchestration | Route tasks to Claude Code, Cursor, Codex, Amp, or OpenCode |
| Multi-Repo Operations | Single task opens PRs across multiple repositories |
| @tembo Mentions | Tag @tembo in Slack, Linear, GitHub, or PRs to assign work |
| Automations | Schedule or webhook-trigger recurring tasks with MCP support |
| Feedback Loop | Iterate on PRs by mentioning @tembo in comments |
| API & SDK | TypeScript SDK and MCP server for custom integrations [3] |
Key Use Cases
- Fix production bugs — Monitor Sentry, auto-generate PRs for errors
- Implement from issues — Assign Linear/Jira tickets to Tembo
- Reduce tech debt — Periodic codebase analysis and quick-win PRs
- Documentation sync — Update docs repo from monorepo changes
Technical Architecture
Tembo operates through a detection-execution-review cycle:[2]
- Detection — Issues identified via integrations (Sentry errors, Linear tickets) or direct assignment
- Execution — Coding agent analyzes codebase and generates solution in isolated sandbox
- Pull Request — Changes submitted with problem/solution context
- Feedback Loop — @tembo mentions in PR comments trigger iterations
Supported Coding Agents
| Agent | Model Providers | Default Model |
|---|---|---|
| Claude Code | Anthropic | claude-opus-4-5 |
| Codex | OpenAI | gpt-5.2 |
| OpenCode | Anthropic/OpenAI | claude-opus-4-5 |
| Amp | Anthropic (auto) | claude-opus-4-5 |
| Cursor | Multiple (Anthropic, OpenAI, Google, XAI) | claude-opus-4-5 |
Integrations
Tembo connects to the tools teams already use:[4]
| Category | Integrations |
|---|---|
| Source Control | GitHub, GitLab, Bitbucket |
| Issue Tracking | Linear, Jira |
| Monitoring | Sentry |
| Communication | Slack, Raycast |
| Databases | PostgreSQL, Supabase, AWS RDS |
| Extensibility | Custom MCP servers |
Strengths
- Agent-agnostic — Not locked to one AI provider; switch agents per task or preference
- Work from anywhere — @tembo mentions work in Slack, Linear, GitHub, Jira, PR comments
- Multi-repo coordination — Single task can update API, client libraries, and docs together
- Team control preserved — Tembo proposes, humans approve; standard review process
- MCP-native — Built-in MCP servers plus support for any custom MCP
- Transparent pricing — Public pricing from free to enterprise, no sales-required discovery
- Self-hosted option — Fully self-hosted deployment available for enterprises with strict data requirements
Cautions
- Credit-based pricing — Heavy users may find per-task credits add up
- Agent quality varies — Results depend on which coding agent you route to
- Learning curve — Optimal use requires understanding agent routing and rule files
Pricing & Licensing
| Tier | Price | Credits | Includes |
|---|---|---|---|
| Free | $0 | 5/day | 1 repo, all integrations |
| Pro | $60/mo | 100/mo | Overages, priority support |
| Max | $200/mo | 400/mo | Overages, priority support, always-on routing (soon) |
| Enterprise | Custom | Custom | SSO, SLA, BYOK, dedicated support |
Credit model: Tasks consume credits based on complexity. Overages billed for Pro/Max tiers.
Competitive Positioning
Direct Competitors
| Competitor | Differentiation |
|---|---|
| Devin | Devin is a full agent; Tembo orchestrates existing agents |
| Factory | Factory is agent-focused; Tembo is integration-focused |
| Sweep | Sweep is GitHub-native; Tembo is multi-platform |
When to Choose Tembo Over Alternatives
- Choose Tembo when: You want to use your existing coding agent (Claude Code, Cursor, etc.) with team integrations
- Choose Devin when: You want a complete autonomous agent, not orchestration
- Choose Factory when: Enterprise-only requirements with dedicated support
- Choose individual agents when: You don't need cross-repo or team integration features
Ideal Customer Profile
Best fit:
- Teams already using Claude Code, Cursor, or Codex who want team workflow integration
- Companies with multi-repo architectures needing coordinated changes
- Teams using Linear or Jira for issue tracking who want AI assignment
- Organizations monitoring production with Sentry who want auto-fix capabilities
Poor fit:
- Solo developers with simple single-repo projects
- Teams preferring fully local, offline-only workflows
Viability Assessment
| Factor | Assessment |
|---|---|
| Financial Health | $20M raised (Venrock, Great Point Ventures), generating revenue |
| Market Position | Early mover in agent orchestration layer |
| Innovation Pace | Rapid iteration, frequent feature releases |
| Community/Ecosystem | Growing, MCP-native extensibility |
| Long-term Outlook | Well-positioned as agent market fragments |
Tembo's bet is that the coding agent market will remain fragmented — no single agent will win — so the orchestration layer becomes the durable value. This thesis aligns with the current market trajectory.
Bottom Line
Tembo is the glue layer for AI coding agents. Instead of replacing your agent, it makes your agent more useful by connecting it to your issue tracker, error monitoring, team chat, and multi-repo workflows.
Recommended for: Teams already using AI coding agents who want to scale their usage across the organization with proper integrations and controls.
Not recommended for: Developers looking for a new coding agent (Tembo orchestrates, it doesn't replace). Also not ideal for teams that want fully local/offline workflows.
Outlook: As the coding agent landscape fragments, orchestration becomes more valuable. Tembo is well-positioned if the thesis holds.
Research by Ry Walker Research • methodology
Disclosure: Ry Walker is CEO of Tembo. This report aims for objectivity but readers should note the affiliation.