OpenCode vs Tabnine (2026)

Built in tools let the agent read, edit and search files and run shell commands. MCP servers, custom tools, plugins and configurable code formatters extend them, and there are native GitHub and GitLab integrations. OpenCode 1 loads LSP servers automatically for language level intelligence. OpenCode 2, released on 12 October 2026, keeps LSP settings but no longer runs language servers, and points developers to their project's own lint, typecheck and compiler commands instead. Terminal, web and desktop apps sit alongside the IDE extension.

Sourceopencode.ai/docs/tools, docs/mcp-servers, docs/github, docs/gitlab and opencode.ai/v2/docs/migrate-v1read 2026-10-22

The Context Engine ingests code repositories, documentation, ticketing systems, APIs and infrastructure metadata, and serves organizational context to whichever agent the customer uses. Supported agents include Cursor, GitHub Copilot, the Tabnine Agentic Platform and Anthropic Claude Code. The platform itself spans IDE plugins, the terminal and CI/CD.

Sourcetabnine.com/enterprise-context-engine and tabnine.com/platformread 2026-08-30

A two phase Plan then Build workflow lets the agent propose an implementation approach for review before it makes any changes. Multiple agents can run in parallel on the same project, and custom agents can be configured with their own tools and models. In OpenCode 2, subagents can run in the background while the main agent keeps working, a running subagent or shell command can be moved to the background with one key, and delegated commands report back to the parent session. Custom commands and Agent Skills package repeatable multi step work.

Sourceopencode.ai/docs/agents, docs/commands, docs/skills and anoma.ly/notes/opencode-2-0read 2026-10-22

The Tabnine Agentic Platform ships org native AI agents that plan and execute workflows with enterprise context. They work across the IDE, the terminal, CI/CD pipelines and software delivery workflows, going beyond single turn completion. Tabnine presents this as a move from isolated developer assistance to intelligent software delivery systems that operate across teams, repositories, policies and infrastructure.

Sourcetabnine.com/platform and tabnine.com/blogread 2026-08-30

The GitHub integration starts runs without anyone invoking them. The pull_request event runs OpenCode when a pull request is opened, synchronized or reopened, the issues event runs it when an issue is created or edited, and the schedule event runs it on a cron schedule with a stored prompt. A schedule example is published. Comment mentions (/opencode or /oc) and workflow_dispatch cover invoked runs. Beyond GitHub, invocation spans the TUI, a scriptable non interactive CLI returning text or JSON, the desktop app, the IDE extension, a headless HTTP server, ACP clients and a GitLab integration.

Sourceopencode.ai/docs/github (Supported Events, Schedule Example) and /docs/gitlabread 2026-09-29

Tabnine CLI runs in GitHub Actions on pull_request events, using Tabnine's workflow to pass the PR number and the head and base commits, and it also runs in GitLab CI and Bitbucket Pipelines. Developers call Tabnine Agent and Chat from IDE plugins and the CLI from the terminal. An optional Headless Agents add-on is sold on the Agentic Platform.

Sourcedocs.tabnine.com/main/getting-started/tabnine-cli/git-integrations/github-actions and tabnine.com/pricingread 2026-09-29

Context is assembled for each run. Built in tools read, grep, glob and list files on demand, and @ fuzzy file references and dropped images attach material to a prompt. OpenCode 1 adds language level diagnostics and symbols from LSP servers at run time, which OpenCode 2 no longer runs. There is no maintained retrieval structure over the customer's code or documents, and the docs have no index or knowledge page. AGENTS.md from /init and rules are instructions the product applies.

Sourceopencode.ai/docs/tools, docs/rules and opencode.ai/v2/docs/migrate-v1; opencode.ai/docs/lspread 2026-10-22

The Enterprise Context Engine builds a structured, continuously updated knowledge graph of the organization. It extracts entities, relationships, dependencies and architectural patterns from code repositories, documentation, tickets, APIs and infrastructure metadata. It goes beyond the similarity based retrieval behind most RAG, modeling repositories, services, APIs, policies and historical engineering knowledge so agents can reason with organizational context.

Sourcetabnine.com/enterprise-context-engine and tabnine.com/blog/introducing-the-tabnine-enterprise-context-engineread 2026-08-30

Sessions persist locally and can be listed, resumed, forked, exported as JSON and imported, and /undo and /redo move through change history within a session, so a run carries on where it stopped. Sharing sessions by link was discontinued on 15 October 2026. There is no memory layer that the agent writes and reads across sessions, and the docs have no memory page. AGENTS.md carries project conventions as instructions, not memory the agent keeps.

Sourceopencode.ai/docs/cli, docs/rules and the v1.19.1 release notesread 2026-10-22

Before any AI file modification, Tabnine CLI saves a checkpoint, a Git snapshot in a shadow repository along with the conversation so far and the pending tool call. Checkpoints are stored locally, so a session can be restored and the call re-proposed. The Enterprise Context Engine's knowledge graph gives agents organizational context to retrieve, but there is no memory layer that the agent writes to across sessions.

Sourcedocs.tabnine.com/main/getting-started/tabnine-cli/features/checkpointingread 2026-09-29

Plan mode turns off the agent's ability to make changes, so it proposes an approach for review before building. A single key toggles it, and the user switches back to Build mode once the plan is agreed. Permissions and policies govern what the agent may do. /undo and /redo revert or replay changes and can be run repeatedly. Non interactive CLI mode auto approves only when it is explicitly invoked for scripting.

Sourceopencode.ai/docs/permissions, docs/policies and docsread 2026-08-30

Tool Permissions set each native tool and each MCP server to Ask first or Auto-approve. Tabnine Agent stops for the user's approval before running a command or applying code unless that tool has been auto-approved, and Tabnine recommends requiring approval for sensitive operations. The CLI adds a plan mode and sandboxing, admins govern MCP servers centrally, and a provenance and attribution feature checks generated code against license rules.

Sourcedocs.tabnine.com/main/getting-started/tabnine-agent/agent-settings and /administering-tabnine/managing-your-team/settings/mcp-governanceread 2026-09-29

Enterprise deployment supports SSO through a central organization config and routes traffic through an internal AI gateway that can switch off every other provider. Permission rules, organization policies and private npm registry support come with it.

The Trust Center linked from the enterprise page shows SOC 2 Type 1 and Type 2 for Anomaly Innovations, Inc., the company behind OpenCode, with the report shared under NDA.

The architecture stores no code or context data, processing is local or goes direct to the customer's chosen provider, and session sharing was discontinued on 15 October 2026.

Sourceopencode.ai/enterprise, opencode.ai/docs/enterprise and trust.opencode.airead 2026-10-25

Tabnine is compliant with SOC 2, ISO/IEC 27001, ISO 9001:2015 and GDPR, and a pentest report is available through its trust center at trust.tabnine.com. Access controls include identity provider sync with a SCIM API, team management in the admin console, scoped API tokens, MCP server governance and organization audit logs through the API. Code is not retained, and deployment can be SaaS, VPC, on-premises or air-gapped.

Sourcetrust.tabnine.com and docs.tabnine.com/main/administering-tabnineread 2026-09-29

Sessions are kept in a local database that the CLI can list, query and export as JSON, with a sanitize option that redacts sensitive transcript and file data. opencode stats reports token use and cost by session, model and tool, the TUI shows tool calls as they run, and log levels can be raised for debugging. The agent is MIT licensed, so its behavior is fully inspectable. There is no audit log or organization level record of agent actions.

Sourceopencode.ai/docs/cliread 2026-10-22

Tabnine CLI has built-in OpenTelemetry, off by default, that sends structured traces, metrics and logs to the customer's own OTLP collector or a local file once enabled. These cover tool call durations, token usage and, optionally, the full conversation. The Tabnine API exposes organization audit log events, and the Admin Console adds agent usage analytics, code acceptance logs and Context Engine run monitoring.

Sourcedocs.tabnine.com/main/getting-started/tabnine-cli/features/telemetry and /administering-tabnine/managing-your-team/tabnine-apisread 2026-09-29

The agent is MIT licensed open source and runs entirely on the developer's own machine. It installs via script, npm, Homebrew, Arch, Chocolatey, Scoop, Mise or Docker. In OpenCode 2 a single background server runs on that machine, and the terminal, web and desktop apps all connect to it. OpenCode stores no code or context data, and all processing is local or goes direct to the customer's chosen provider. Enterprise deployment routes everything through an internal AI gateway with other providers disabled. Session sharing, once the only hosted component, was discontinued on 15 October 2026.

Sourceopencode.ai/docs/enterprise, docs and anoma.ly/notes/opencode-2-0read 2026-10-22

Deployment options are secure SaaS, a private VPC, on premises or fully air gapped environments. Total code privacy and zero data retention apply, and a trust center at trust.tabnine.com carries the details. Tabnine names deployment flexibility as its core differentiator for regulated industries.

Sourcetabnine.com/code-privacy and tabnine.comread 2026-08-30

Agent Skills package reusable agent capabilities, custom agents and custom commands can be configured and shared, and plugins extend the runtime. An ecosystem page collects community extensions. There is no catalog of prebuilt agents from OpenCode that install in one click.

Sourceopencode.ai/docs/skills, docs/agents, docs/commands and docs/ecosystemread 2026-08-30

The platform ships org native AI agents and an AI chat that cover the whole software development lifecycle, and agents take their behavior from enterprise context, not from templates the customer writes. There is no library of prebuilt agents, installable packs or shareable templates.

Sourcetabnine.com/platform and tabnine.com/ai-chatread 2026-08-30

OpenCode is model agnostic by design. Any LLM provider can be configured with the customer's own API key, across more than 75 providers via Models.dev, including local models. There is a provider directory, per agent model configuration, an optional curated OpenCode Zen list, logins with a Claude Pro or Max, ChatGPT Plus or Pro, or GitHub Copilot subscription, and enterprise routing through an internal AI gateway.

Sourceopencode.ai/docs/providers and docs/modelsread 2026-10-22

Agent and Chat users pick their model from several makers, including Anthropic's Claude, OpenAI's GPT, Google's Gemini, Mistral's Devstral, MiniMax, Zhipu's GLM and Alibaba's Qwen, as well as Tabnine's own protected models. Model selection is also available in the CLI. Administrators can connect their own LLM endpoints as Self-Managed Models.

Sourcedocs.tabnine.com/main/welcome/readme/ai-models, /getting-started/tabnine-cli/features/model-selection and /administering-tabnine/managing-your-team/settings/models-settings/self-managed-modelsread 2026-09-29

There is a published SDK, a headless HTTP server, a plugin system, custom tools, MCP server support, ACP support and an ecosystem page.

OpenCode 2 rebuilt the server API, added an @opencode/client package and an @opencode/sdk package that runs the same code as the CLI, and its Code Mode turns MCP servers and OpenAPI endpoints into functions an agent script can call several at a time. More than 80 of its features ship as internal plugins that hot reload, and version 1 plugins must be ported.

The whole agent is MIT licensed on GitHub under anomalyco/opencode, and GitHub Copilot ships a formal integration that authenticates with OpenCode.

Sourceopencode.ai/docs/sdk, docs/server, docs/plugins and anoma.ly/notes/opencode-2-0read 2026-10-22

A consolidated Tabnine API with an OpenAPI specification, scoped tokens and versioned endpoints lets customers query usage, retrieve audit data and automate administration, and a SCIM API syncs identities. The CLI runs headless in GitHub Actions, GitLab CI and Bitbucket Pipelines, supports extensions and hooks, and uses MCP servers under admin governance.

Sourcedocs.tabnine.com/main/administering-tabnine/managing-your-team/tabnine-apis and /getting-started/tabnine-cli/git-integrationsread 2026-09-29

OpenCode 1 surfaces LSP diagnostics so the agent can see and correct errors in its own edits. OpenCode 2 drops those diagnostics and relies on the project's own lint, typecheck and compiler commands, which the agent runs through its shell tooling along with tests. /undo and /redo help it iterate on a failed attempt. There is no evaluation harness, replay or regression testing of agent behavior.

Sourceopencode.ai/docs/lsp, docs/tools and opencode.ai/v2/docs/migrate-v1read 2026-10-22

Agents can generate unit tests, debug code and refactor the customer's code, and Tabnine publishes thought leadership on measuring AI productivity. There is no customer facing harness for testing, evaluating or regression checking agent behavior.

Sourcetabnine.com/platform and tabnine.com/blogread 2026-08-30

The agent works through file operations, shell commands and MCP tools in the terminal, plus LSP servers in OpenCode 1. It has no browser control and cannot operate software that lacks a programmatic interface.

Sourceopencode.ai/docs/toolsread 2026-10-22

Agents work in IDEs, the terminal and CI/CD pipelines through programmatic interfaces. Browser control and operation of software without a programmatic interface are not described.

Sourcetabnine.com/platformread 2026-08-30