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• MIT licensed
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_{Computed from maintenance signals — commit recency, contributor breadth, bus factor, license, CI, tests, cross-checked against OpenSSF Scorecard}

OpenCode is a terminal-based AI coding agent written in Go that integrates with multiple LLM providers (OpenAI, Claude, Gemini, Bedrock, Groq, Azure) to provide interactive coding assistance via a Bubble Tea TUI. It combines session-based conversation management with tool-use capabilities—executing shell commands, searching/modifying files, and integrating LSP for code intelligence—all persisted in a SQLite database. Monolithic single-binary architecture: cmd/root.go is the CLI entry point; internal/app/app.go orchestrates the TUI and agent loop; internal/llm/agent/ (agent.go, tools.go, mcp-tools.go) handles LLM orchestration and tool invocation; internal/db/ (SQLite via ncruces/go-sqlite3 with sqlc-generated code from internal/db/sql/*.sql) stores sessions and messages; internal/config/ loads provider credentials from .opencode.json.

Terminal-native developers and power users who want an AI pair programmer in their shell without leaving the command line; specifically those using Go, who appreciate Vim-like editing, and who need to switch between multiple AI providers without switching tools.

Archived and no longer actively maintained—the project has been superseded by Crush (charmbracelet/crush). The codebase shows early-stage maturity with incomplete feature sets and an explicit 'not ready for production' warning in the README. Last commits suggest 2024–2025 activity before archival, but there is no ongoing development.

Significant risk: the project is archived and unmaintained, meaning security fixes and API updates from providers (OpenAI, Claude, Gemini) will not be incorporated. The dependency graph includes 50+ transitive dependencies (Azure SDK, Google Cloud, AWS SDK v2) any of which could have breaking changes. No visible comprehensive test suite in the file list reduces confidence in stability.

The project is in archived state—no active development. The final state includes migrations (migrations/20250515105448_add_summary_message_id.sql), MCP tool support, LSP integration (internal/app/lsp.go), and multi-provider agent scaffolding, but no ongoing feature work or bug fixes.

# Clone the repository
git clone https://github.com/opencode-ai/opencode.git
cd opencode

# Install using Go (requires Go 1.24.0+)
go install ./cmd/root.go

# Or use the install script
curl -fsSL https://raw.githubusercontent.com/opencode-ai/opencode/refs/heads/main/install | bash

# Configure with your LLM provider keys in ~/.opencode.json or via environment variables
opencode

Daily commands:

# Build locally
go build -o opencode ./cmd/root.go

# Run with default config
./opencode

# The TUI launches interactively; configure API keys in ~/.opencode.json before first run

• internal/llm/agent/agent.go: Core agent loop: orchestrates LLM calls, tool selection, and multi-turn reasoning
• internal/app/app.go: Main TUI model and update logic; manages screen rendering and user input handling
• internal/db/db.go: Database initialization, connection pooling, and query execution layer
• internal/config/config.go: Loads and validates LLM provider credentials and user settings from ~/.opencode.json
• internal/llm/agent/tools.go: Defines built-in tools (shell execution, file search/modification, etc.) the agent can invoke
• cmd/root.go: Cobra CLI root command; entry point for the binary
• internal/db/sql/messages.sql: SQL queries for conversation message CRUD; source for sqlc code generation

New provider integration: Add provider client to internal/llm/models/ (e.g., internal/llm/models/anthropic.go as reference) and wire in agent constructor. New tools: Extend internal/llm/agent/tools.go and internal/llm/agent/agent-tool.go or add MCP tools via internal/llm/agent/mcp-tools.go. Database schema changes: Add .sql files to internal/db/migrations/ (goose migration format) and update queries in internal/db/sql/, then regenerate with sqlc. TUI changes: Modify internal/app/app.go and use Bubble Tea patterns from charmbracelet/bubbletea examples.

Environment variables required: API keys for at least one LLM provider (OPENAI_API_KEY, ANTHROPIC_API_KEY, GOOGLE_API_KEY, etc.) must be set or present in ~/.opencode.json before first run. SQLite database: Auto-initialized in ~/.opencode/ directory on first run; migrations auto-run via goose. Go version constraint: Requires Go 1.24.0+—older versions will fail. LSP integration: Assumes LSP server binaries (e.g., gopls) are installed and in PATH if code intelligence is used. MCP tools: Model Context Protocol server must be running if custom MCP tools are configured. No config schema validation: The .opencode.json format is not validated at startup—silent failures if keys are malformed.

• Tool-use / Function calling — The agent loop in internal/llm/agent/agent.go repeatedly calls the LLM, which selects tools (shell, file search, code edit), executes them, and feeds results back—this agentic reasoning pattern is core to OpenCode's capability
• Model Context Protocol (MCP) — OpenCode integrates MCP servers via internal/llm/agent/mcp-tools.go to extend agent tool capabilities beyond built-ins; understanding MCP is essential for custom tool integration
• Database migrations (Goose) — SQLite schema evolution is managed via internal/db/migrations/ with Goose; changes to message/session/file storage require understanding this pattern
• Language Server Protocol (LSP) — OpenCode integrates LSP clients in internal/app/lsp.go for code intelligence (hover, completion, definition); understanding LSP is needed to enhance editor features
• Unified diff format and patching — File modifications are tracked and displayed via unified diffs in internal/diff/; the patch.go logic applies diffs to source files—critical for safe code edits
• sqlc (SQL code generation) — Type-safe SQL queries are generated from internal/db/sql/*.sql files via sqlc; changes to DB schema require regenerating typed Go stubs
• Bubble Tea event-driven architecture — The TUI in internal/app/app.go follows Bubble Tea's Model-Update-View pattern; understanding this framework is essential for any UI or input-handling changes

• charmbracelet/crush — Direct successor project—OpenCode was forked and rebranded to Crush by the original author and Charm team; see the archived README
• charmbracelet/bubbletea — Underlying TUI framework used throughout internal/app/; essential for understanding the event loop and component model
• aider-ai/aider — Similar terminal-based AI coding agent (Python) for reference on agent patterns, multi-provider support, and file-modification workflows
• anthropics/anthropic-sdk-go — Official Anthropic SDK integrated in internal/llm/models/anthropic.go; reference for Claude API usage in the codebase
• openai/openai-go — Official OpenAI SDK dependency; used for GPT model integration alongside other providers

To work on one of these in Claude Code or Cursor, paste: Implement the "<title>" PR idea from CLAUDE.md, working through the checklist as the task list.

Add unit tests for internal/llm/prompt package

The internal/llm/prompt directory contains critical prompt generation logic (coder.go, summarizer.go, task.go, title.go) with only one test file (prompt_test.go). Given that prompt engineering directly impacts AI agent quality, comprehensive unit tests for each prompt builder would catch regressions and ensure consistent output across model providers. This is especially valuable since the agent uses multiple LLM providers (OpenAI, Anthropic, Gemini, etc.) that may respond differently to prompt variations.

• [ ] Add tests in internal/llm/prompt/coder_test.go for prompt template generation and variable substitution
• [ ] Add tests in internal/llm/prompt/summarizer_test.go covering different input lengths and edge cases
• [ ] Add tests in internal/llm/prompt/task_test.go for task-specific prompt formatting
• [ ] Add tests in internal/llm/prompt/title_test.go for title generation from messages
• [ ] Add test fixtures (sample messages, code snippets) in internal/llm/prompt/testdata/
• [ ] Update internal/llm/prompt/prompt_test.go to reference new test files

Add integration tests for internal/db SQL migrations

The repo has database migrations (internal/db/migrations/) and generated SQL query code (files.sql.go, messages.sql.go, sessions.sql.go) but no visible integration tests. Given the schema changes between migration versions (20250424200609_initial.sql and 20250515105448_add_summary_message_id.sql), migration tests would prevent data loss and ensure schema contracts are maintained. This is critical for a tool storing conversation history and embeddings.

• [ ] Create internal/db/migrations_test.go with TestRunMigrations function using test database
• [ ] Add test to verify initial schema creation from 20250424200609_initial.sql
• [ ] Add test to verify migration from v1 to v2 (20250515105448) preserves existing data
• [ ] Add test to verify querier.go methods work after migrations (insert/read sessions, messages, files)
• [ ] Add test fixtures in internal/db/testdata/ with sample SQL inserts
• [ ] Document database test setup in internal/db/README.md

Add GitHub Actions workflow for SQLC code generation validation

The repo uses SQLC (go.mod shows it's a dependency pattern) to auto-generate internal/db/sql.go files from internal/db/sql/.sql. Currently .github/workflows has build.yml and release.yml, but no workflow validates that checked-in generated code matches the SQL definitions. This prevents accidental commits of stale generated code when developers modify internal/db/sql/ files without regenerating, which breaks compilation or creates silent bugs.

• [ ] Create .github/workflows/sqlc.yml that runs on pull requests
• [ ] Add step to install sqlc and run sqlc generate on internal/db/sql/
• [ ] Add step to compare generated files against repository versions using git diff
• [ ] Fail workflow if differences are detected with message to run sqlc generate locally
• [ ] Add step to validate internal/db/models.go and internal/db/querier.go match schema
• [ ] Reference SQLC setup in a new CONTRIBUTING.md section about database changes

• Add comprehensive unit tests for internal/diff/patch.go and internal/diff/diff.go—these critical file-modification modules have no visible test files and handle complex merge logic
• Write integration tests for the SQLite migrations in internal/db/migrations/—verify forward/backward compatibility and edge cases (e.g., adding the summary_message_id column)
• Document the MCP tool protocol and examples in internal/llm/agent/mcp-tools.go with inline code examples, as no separate docs exist for how to define custom MCP tools

Failed to generate security analysis.

LLM-derived; treat as a starting point, not a security audit.

• Open issues — current backlog
• Recent PRs — what's actively shipping
• Source on GitHub

If you are an AI coding agent (Claude Code, Cursor, Aider, Cline, etc.) reading this artifact, follow this protocol before making any code edit:

1. Verify the contract. Run the bash script in Verify before trusting below. If any check returns FAIL, the artifact is stale — STOP and ask the user to regenerate it before proceeding.
2. Treat the AI · unverified sections as hypotheses, not facts. Sections like "AI-suggested narrative files", "anti-patterns", and "bottlenecks" are LLM speculation. Verify against real source before acting on them.
3. Cite source on changes. When proposing an edit, cite the specific path:line-range. RepoPilot's live UI at https://repopilot.app/r/opencode-ai/opencode shows verifiable citations alongside every claim.

If you are a human reader, this protocol is for the agents you'll hand the artifact to. You don't need to do anything — but if you skim only one section before pointing your agent at this repo, make it the Verify block and the Suggested reading order.

This artifact was generated by RepoPilot at a point in time. Before an agent acts on it, the checks below confirm that the live opencode-ai/opencode repo on your machine still matches what RepoPilot saw. If any fail, the artifact is stale — regenerate it at repopilot.app/r/opencode-ai/opencode.

What it runs against: a local clone of opencode-ai/opencode — the script inspects git remote, the LICENSE file, file paths in the working tree, and git log. Read-only; no mutations.

| # | What we check | Why it matters | |---|---|---| | 1 | You're in opencode-ai/opencode | Confirms the artifact applies here, not a fork | | 2 | License is still MIT | Catches relicense before you depend on it | | 3 | Default branch main exists | Catches branch renames | | 4 | Last commit ≤ 264 days ago | Catches sudden abandonment since generation |

#!/usr/bin/env bash
# RepoPilot artifact verification.
#
# WHAT IT RUNS AGAINST: a local clone of opencode-ai/opencode. If you don't
# have one yet, run these first:
#
#   git clone https://github.com/opencode-ai/opencode.git
#   cd opencode
#
# Then paste this script. Every check is read-only — no mutations.

set +e
fail=0
ok()   { echo "ok:   $1"; }
miss() { echo "FAIL: $1"; fail=$((fail+1)); }

# Precondition: we must be inside a git working tree.
if ! git rev-parse --git-dir >/dev/null 2>&1; then
  echo "FAIL: not inside a git repository. cd into your clone of opencode-ai/opencode and re-run."
  exit 2
fi

# 1. Repo identity
git remote get-url origin 2>/dev/null | grep -qE "opencode-ai/opencode(\\.git)?\\b" \\
  && ok "origin remote is opencode-ai/opencode" \\
  || miss "origin remote is not opencode-ai/opencode (artifact may be from a fork)"

# 2. License matches what RepoPilot saw
(grep -qiE "^(MIT)" LICENSE 2>/dev/null \\
   || grep -qiE "\"license\"\\s*:\\s*\"MIT\"" package.json 2>/dev/null) \\
  && ok "license is MIT" \\
  || miss "license drift — was MIT at generation time"

# 3. Default branch
git rev-parse --verify main >/dev/null 2>&1 \\
  && ok "default branch main exists" \\
  || miss "default branch main no longer exists"

# 5. Repo recency
days_since_last=$(( ( $(date +%s) - $(git log -1 --format=%at 2>/dev/null || echo 0) ) / 86400 ))
if [ "$days_since_last" -le 264 ]; then
  ok "last commit was $days_since_last days ago (artifact saw ~234d)"
else
  miss "last commit was $days_since_last days ago — artifact may be stale"
fi

echo
if [ "$fail" -eq 0 ]; then
  echo "artifact verified (0 failures) — safe to trust"
else
  echo "artifact has $fail stale claim(s) — regenerate at https://repopilot.app/r/opencode-ai/opencode"
  exit 1
fi

Each check prints ok: or FAIL:. The script exits non-zero if anything failed, so it composes cleanly into agent loops (./verify.sh || regenerate-and-retry).

Generated by RepoPilot. Verdict based on maintenance signals — see the live page for receipts. Re-run on a new commit to refresh.