Tembo
Cloud execution platform for coding agents you already use, running Claude Code, Codex and Cursor across repos triggered by Linear, Sentry, Datadog and Slack signals, self hostable in your own VPC.
Tembo does not sell a coding agent of its own. Its pitch is you bring the agents, we provide the platform. It runs Claude Code, Codex, Cursor, OpenCode, Pi and others inside isolated cloud VMs preloaded with your dependencies and tools, orchestrating them across repositories, tickets and teams. For a buyer that inverts the usual lock in question, because the model and the agent remain your choice while the execution layer is the product.
Work arrives from signals rather than prompts. Agents are triggered by events in GitHub, Linear, Slack, Sentry, Datadog and other integrations, run on cron schedules, or start from the API, and a template gallery offers ready agents for recurring jobs such as changelogs, standup summaries and turning feature requests into tickets. A v1 API and a hosted MCP server let other systems create and run agents, and dozens of MCP integrations reach databases, analytics, payments and cloud browsers.
The review model is explicit: every run ends with a pull request or an artifact the team can review, and Tembo Review reviews pull requests as its own product. Deployment is a choice between Tembo's cloud and self-hosting the whole platform inside your own infrastructure.
Security is documented on tembo.io/security: SOC 2 Type II, ISO 27001, ISO 42001, GDPR and HIPAA, independently audited with reports under NDA, SSO over SAML and OIDC, role-based access, scoped API keys with an audit trail, and session isolation. Earlier in 2026 the security page said SOC 2 Type 1 while marketing said Type II; the security page now states Type II. Note also a naming collision: Tembo began as a managed Postgres company and many third party reviews still describe that product rather than the agent platform.
Vendor details
Canonical URL
https://www.tembo.io
Category
Coding agent
Subcategory
Coding agent orchestration platform (bring your own agent)
Funding status
Independent. Tembo was founded in 2022 as a managed Postgres company and raised its Series A in that era, then pivoted to coding agent orchestration in May 2025 and shut down its managed Postgres cloud. Reported funding totals of $14M and $20M both predate the current product, so neither reflects capital raised behind the agent platform. Tembo Max launched January 2026 at $200 per month alongside Tembo Proxy.
Company status
independent
Use cases & customers
Primary use cases
Target customers
Deployment options
Integrations
A managed control plane that runs other vendors' coding agents rather than shipping one. Named supported agents are Claude Code, Cursor Agent, Codex, Amp, OpenCode and Pi, executed in secure cloud environments preloaded with the customer's own dependencies and tooling. Named integrations span source control with GitHub, ticketing with Linear and Jira, chat with Slack, error monitoring with Sentry and observability with Datadog; these act as both trigger surfaces and context sources, so a Sentry alert or a Linear ticket starts a run and supplies its context. Runs can also be scheduled on a cadence or fired from webhooks. Output is a draft pull request, including coordinated changes spanning multiple repositories in one pass. An automation library covers recurring work such as release notes from commits, Sentry triage into Slack and documentation sync. The whole platform self-hosts inside a customer VPC.
In practice
You already pay for Claude Code, Codex and Cursor and do not want a fourth agent. Tembo runs the agents you have inside one orchestration layer rather than replacing them.
Work should start from a Sentry alert or a Linear ticket, not from someone typing a prompt. Tembo is triggered by those signals and coordinates across multiple repositories.
Your security review blocks cloud only tools. The entire platform self hosts inside your own VPC, which is a shorter list of options than most teams expect.
Sources & related URLs
Agentic Index coverage score
11.0 / 14 capabilities · 79%
| Integrations & Tool Calling | Full |
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Named integrations span source control with GitHub, ticketing with Linear and Jira, chat with Slack, error monitoring with Sentry and observability with Datadog, connecting to source code, tickets, alerts and documentation to assemble agent context and returning pull requests as output; the same connections act as trigger surfaces, so a Sentry alert or Linear ticket both starts a run and supplies its context. Environments are preloaded with the customer's own dependencies and tools so agents reach the real toolchain. Sourcetembo.io, tembo.io/platform/ai and tembo.io/blog/ai-agent-orchestration-platformsread 2026-08-30 |
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| Workflow Orchestration | Full |
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The platform is a managed control plane orchestrating third-party coding agents as background agents across repositories, tools and teams, running them in parallel, coordinating changes that span multiple repositories in a single pass such as updating an API and its client libraries together, scheduling runs on a cadence, and layering team automations on top; the vendor contrasts this with running one agent in one session and positions it as the layer above individual agents. Sourcetembo.io, tembo.io/blog/ai-agent-orchestration-tools and tembo.io/blog/ai-coding-agents-revolutionizing-developmentread 2026-08-30 |
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| Knowledge Grounding & RAG | Partial |
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The platform connects to source code, tickets, alerts and documentation to assemble the context an agent needs before a run, spanning repositories plus Linear, Sentry, Datadog, Slack, GitHub and Jira, and preloads environments with the customer's dependencies and tooling so agents work against a real stack. No codebase index, knowledge graph, dependency map, embeddings layer or retrieval surface of Tembo's own is documented; deep codebase understanding within a run comes from the hosted agent rather than the platform. Sourcetembo.io/platform/ai and tembo.ioread 2026-08-30 |
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| Human Oversight & Guardrails | Partial |
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Every run ends with a draft pull request or an artifact the team reviews, and the vendor states a human approval gate so nothing merges unreviewed, with changes reviewed, iterated and approved before anything merges; the agent prepares drafts and never merges them itself. The gate is the customer's own pull request review, and no permission scoping, configurable approval policy, per-tool control, spend limit or step limit is documented on the platform or security pages. Sourcetembo.io, tembo.io/platform/ai and tembo.io/blog/ai-agent-orchestration-platformsread 2026-08-30 |
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| Security, Identity & Governance | Full |
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tembo.io/security lists SOC 2 Type II, ISO 27001, ISO 42001, GDPR and HIPAA as independently audited, with reports available under NDA, matching the platform page. The access surface is documented: SSO over SAML 2.0 and OIDC with Okta, Azure AD, Google Workspace or any compliant IdP, role-based access for admins, reviewers and operators, API keys with scoped permissions, rotation, revocation and an audit trail on key usage, AES-256 at rest and TLS 1.3 in transit, session isolation, and self-hosting in the customer's VPC. Sourcetembo.io/security and tembo.io/pricingread 2026-09-29 |
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| Observability & Auditability | Partial |
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Every run terminates in an inspectable draft pull request or artifact and runs are visible and shareable across a team, giving durable evidence of what was produced; pricing meters usage on VM time and model tokens. No run tracing, per-run cost tracking, agent action audit trail or execution replay is documented on the platform, pricing or security pages. Sourcetembo.io, tembo.io/platform/ai and tembo.io/pricingread 2026-08-30 |
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| Memory & State Persistence | Partial |
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Secure cloud environments persist the customer's dependencies and tooling across runs so agents do not rebuild context each time, and runs are shareable across a team. No cross-session agent memory, accumulating project knowledge store or learned-context mechanism belonging to the platform is documented; any such memory belongs to the hosted agent rather than to Tembo. Sourcetembo.io/platform/ai and tembo.ioread 2026-08-30 |
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| Deployment & Data Residency | Full |
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Customers run in Tembo's cloud or self-host the entire platform inside their own VPC, documented on the platform and pricing pages. For the hosted option the security page publishes a subprocessor list stating all servers are in the United States, with no customer-selectable region documented. So a customer who needs control over where data lives gets it through the VPC path, since the hosted option offers no region choice. Sourcetembo.io/pricing, tembo.io/security and tembo.io/blog/ai-agent-orchestration-platformsread 2026-08-30 |
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| Prebuilt Agents, Templates & Packs | Full |
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Agents can be created from a Templates gallery in the app (pick a template, click Use template) or browsed at tembo.io/for, and the API lists reusable agent templates with their instructions and required parameters; the docs table names ready agents by cadence and job, such as daily changelogs and standup summaries or turning feature requests from call transcripts into Linear tickets. Sourcedocs.tembo.io/features/agents and /api/v1/agents/list-agent-templatesread 2026-09-29 |
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| Triggers & Channel Coverage | Full |
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Runs are triggered by events in Slack, Linear, Sentry, Datadog, GitHub and Jira, so an incident or a ticket starts agent work directly rather than someone typing a prompt; agents can additionally be scheduled to run on a cadence or triggered from webhooks, and a developer can tag the platform in a Slack thread or assign it a Linear ticket and receive a pull request back. All three trigger classes are documented: events, schedules and channels. Sourcetembo.io, tembo.io/platform/ai and tembo.io/blog/ai-coding-agents-revolutionizing-developmentread 2026-08-30 |
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| Model Flexibility & Routing | Full |
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The product's founding premise is that the customer brings the agents and Tembo provides the platform, with the vendor stating plainly that you choose the agent and the model while Tembo handles execution; named supported agents include Claude Code, Cursor Agent, Codex, Amp, OpenCode and Pi, run in the same orchestration layer, and the Enterprise tier documents bring-your-own-key alongside single sign-on and an SLA. Tembo ships no model of its own, so model and agent choice remain entirely with the customer with no lock-in to a single agent or model. Sourcetembo.io, tembo.io/pricing and tembo.io/blog/ai-coding-agents-revolutionizing-developmentread 2026-08-30 |
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| APIs, SDKs & MCP Extensibility | Full |
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The Tembo API creates sessions, manages repositories and projects, and creates, schedules, triggers and runs agents programmatically, with API keys the customer creates, rotates and revokes, and a hosted Tembo MCP server connects AI clients to the same API; Snowflake Cortex Agents can call Tembo over MCP. The platform also consumes built-in and custom MCP servers and runs a Tembo CLI inside its sandboxes. Sourcedocs.tembo.io/api/index, /api/mcp and /integrations/snowflakeread 2026-09-29 |
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| Testing, Debugging & Optimization | Partial |
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A review, iterate and approve loop runs on every output before merge, and agents execute in environments preloaded with the customer's real dependencies and tooling rather than a stripped sandbox, so failures surface against the actual stack. No evaluation harness, benchmark suite, agent comparison surface or regression testing for agent behavior is documented, though the platform runs several agents side by side. Sourcetembo.io and tembo.io/platform/airead 2026-08-30 |
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| Browser & Computer Use | Partial |
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Browser work is wired in through third-party engines: documented integrations connect KERNEL cloud browsers for automation and web interactions over MCP, Notte cloud browser tools with an API credential, TinyFish web agents and Apify actors for browser automation. Tembo does not ship a browser of its own, so browser work depends on one of these engines being connected. Sourcedocs.tembo.io/integrations/kernel, /integrations/notte, /integrations/tinyfish and /integrations/apifyread 2026-09-29 |
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The Agentic Index coverage score grades every vendor Full, Partial or Not documented against the same 14 buyer facing capabilities, from public evidence only. Each capability links to how all vendors in the index score on it. How this evidence is graded
Recent platform changes
Tembo added session forking. From the session menu, a user can split an agent run into a separate session that carries over the original conversation and a snapshot of the workspace, then try a different approach without disturbing the original run.
Bears on: Memory / state
View sourcePricing
14-day free trial; Pro $60 a month as a usage allowance for up to 5 users; Max $200 a month for up to 10 users with priority support; overage billed on VM compute per hour and model tokens; Enterprise custom
monthly usage allowance per plan, drawn down by VM compute time and model tokens, with overage billing
What is public
tembo.io/pricing lists a 14-day free trial (1 user, 1 repository, open-source models, OpenCode and Pi agents), Pro at $60 a month as a usage allowance for up to 5 users, Max at $200 a month for up to 10 users with priority support, and a custom Enterprise plan. It publishes VM compute rates from $0.1066 an hour for Nano to $2.9536 an hour for Ultra, metered by the second, and model prices per million tokens for Anthropic and OpenAI models. Bring your own agent and use your ChatGPT subscription are included. The page no longer shows one-time credit packs or fixed credit counts.
Billing mechanics
A monthly plan price buys a usage allowance; VM time and model tokens draw it down, and overage is billed beyond it. Bringing your own agent subscription moves model cost to that subscription.
Cost watchouts
The agents themselves are a separate cost, since Tembo runs Claude Code, Codex or Cursor subscriptions you already pay for rather than including an agent
Variable cost rationale
Credit consumption scales with agent run volume and duration, and because Tembo executes other vendors' agents the compute intensity is partly determined by which agent the team chooses, adding a variable the platform does not control.
Additional watchouts
Usage is metered on both VM time and model tokens, so long-running or large-VM sessions draw the allowance down quickly; the agents themselves may be a separate subscription.
Overage / add-ons
Each plan's price is a monthly usage allowance; usage beyond it is billed as overage at the published VM compute rates (metered by the second while a VM runs) and per-million-token model prices.
Sales call required
No, self serve available
Free / trial
14-day free trial: 1 user, 1 repository, 1 project, open-source models and the OpenCode and Pi agents
Lowest paid plan
Pro
Commercial notes
Tembo does not sell an agent, so a buyer keeps paying for Claude Code, Codex or Cursor separately and pays Tembo for the execution layer. That looks like a second bill but removes agent lock in, and for teams already standardized on those tools it means the orchestration decision does not force a model decision.
Key ambiguities
The pricing page does not state how much VM time or model usage the Pro and Max allowances cover before overage starts, and Enterprise and self-hosted pricing are custom.
Missing data
Enterprise and self-hosted pricing are custom.
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Alternatives to Tembo
The closest documented capability profiles to Tembo among coding agents tracked by Agentic Index, ordered by similarity on the same 14 point evidence the rankings use. No vendor pays for placement.
- Blink9.5 / 14A lighter documented profile than Tembo
- Cursor12.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Observability & Auditability
- Ellipsis10.5 / 14Fuller documented coverage on Observability & Auditability
- Factory12.5 / 14Fuller documented coverage on Knowledge Grounding & RAG and Human Oversight & Guardrails
- Google Antigravity12.5 / 14Fuller documented coverage on Human Oversight & Guardrails and Observability & Auditability
- JetBrains AI10.5 / 14Fuller documented coverage on Human Oversight & Guardrails
Similarity is computed from each vendor's Agentic Index coverage score evidence, axis by axis, not from the totals. How this evidence is graded