230 lines
10 KiB
Markdown
230 lines
10 KiB
Markdown
<h1 align="center">
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<img src="https://github.com/opencode-ai.png?size=80" alt="OpenCode" width="28" height="28" align="center" />
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agentmemory for OpenCode
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</h1>
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<p align="center">
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<strong>Your OpenCode agents remember everything. No more re-explaining.</strong><br/>
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<sub>Persistent cross-session memory via <a href="https://github.com/rohitg00/agentmemory">agentmemory</a> — 95.2% retrieval accuracy on <a href="https://arxiv.org/abs/2410.10813">LongMemEval-S</a>.</sub>
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</p>
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<p align="center">
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<img src="https://img.shields.io/badge/MCP-53_tools-1f6feb?style=flat-square" alt="53 MCP tools" />
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<img src="https://img.shields.io/badge/Plugin-22_hooks-1f6feb?style=flat-square" alt="22 hooks" />
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<img src="https://img.shields.io/badge/Commands-2_slash-1f6feb?style=flat-square" alt="2 slash commands" />
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<img src="https://img.shields.io/badge/R@5-95.2%25-00875f?style=flat-square" alt="95.2% R@5" />
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</p>
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---
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## Quick start
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### 1. Start the agentmemory server
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```bash
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npx @agentmemory/agentmemory
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```
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The server starts on `http://localhost:3111`.
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### 2. Configure the MCP server
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Add to `~/.config/opencode/opencode.json` or your project's `.opencode/opencode.json`:
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```json
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{
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"mcp": {
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"agentmemory": {
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"type": "local",
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"command": ["npx", "-y", "@agentmemory/mcp"],
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"enabled": true
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}
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}
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}
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```
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### 3. Install the plugin
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Add to `~/.config/opencode/opencode.json`:
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```json
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{
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"plugin": ["./plugins/agentmemory-capture.ts"]
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}
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```
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Copy the plugin file from this repo:
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```bash
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mkdir -p ~/.config/opencode/plugins
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cp plugin/opencode/agentmemory-capture.ts ~/.config/opencode/plugins/
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```
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### 4. Add the slash commands
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Copy the commands into your project or global `.opencode/commands/` directory:
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```bash
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mkdir -p ~/.config/opencode/commands
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cp plugin/opencode/commands/recall.md ~/.config/opencode/commands/
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cp plugin/opencode/commands/remember.md ~/.config/opencode/commands/
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```
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Restart OpenCode or open a new session. The plugin auto-captures everything.
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## What gets captured
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### Session lifecycle
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| Event | Hook | agentmemory API |
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| Session start | `session.created` | POST /session/start |
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| Idle → summarize | `session.idle` + `session.status` (idle) | POST /summarize |
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| Status transitions | `session.status` (idle/busy/retry) | POST /observe |
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| Compaction | `session.compacted` | POST /summarize + POST /observe |
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| Metadata updates | `session.updated` | POST /observe |
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| Code change tracking | `session.diff` | POST /observe |
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| Session delete | `session.deleted` | POST /session/end |
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| Session error | `session.error` | POST /observe |
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### Messages & prompts
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| Event | Hook | agentmemory API |
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| User prompt (rich) | `chat.message` | POST /observe |
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| User prompt metadata | `message.updated` (user) | POST /observe |
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| Assistant response | `message.updated` (assistant) | POST /observe |
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| Message removed (undo) | `message.removed` | POST /observe |
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### Parts & steps
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| Event | Hook | agentmemory API |
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| Subagent start | `message.part.updated` (subtask) | POST /observe |
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| Tool completed | `message.part.updated` (tool completed) | POST /observe |
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| Tool error | `message.part.updated` (tool error) | POST /observe |
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| Step finish (cost/tokens) | `message.part.updated` (step-finish) | POST /observe |
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| Reasoning trace | `message.part.updated` (reasoning) | POST /observe |
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| Patch applied | `message.part.updated` (patch) | POST /observe |
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| Auto/manual compaction | `message.part.updated` (compaction) | POST /observe |
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| Agent selection | `message.part.updated` (agent) | POST /observe |
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| API retry | `message.part.updated` (retry) | POST /observe |
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### File enrichment pipeline
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| Event | Hook | agentmemory API |
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| File tool params | `tool.execute.before` → stash paths | — |
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| File edited | `file.edited` → stash paths | — |
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| File part attached | `message.part.updated` (file) → stash paths | — |
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| Enrichment inject | `experimental.chat.system.transform` | POST /enrich → `output.system[]` |
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| Memory context inject | `experimental.chat.system.transform` | POST /context → `output.system[]` |
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### Permissions
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| Event | Hook | agentmemory API |
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| Permission prompt | `permission.updated` | POST /observe |
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| Permission reply | `permission.replied` | POST /observe |
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### Tasks & commands
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| Event | Hook | agentmemory API |
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| Task tracking (w/ priority) | `todo.updated` | POST /observe |
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| Command executed | `command.executed` | POST /observe |
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### Model & config
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| Event | Hook | agentmemory API |
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| LLM parameters | `chat.params` | POST /observe |
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| Config loaded | `config` | POST /observe |
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| Compaction (WIP) | `experimental.session.compacting` | POST /context → `output.context[]` |
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### File enrichment + memory injection (two-layer pipeline)
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`experimental.chat.system.transform` fires before every LLM call and injects two layers of context:
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1. **Memory context** (once per session): calls `/agentmemory/context` and injects project profile, recent session summaries, and important past observations into the system prompt. This is the OpenCode equivalent of Claude's MEMORY.md bridge — instead of syncing to a markdown file, context is injected directly into the system prompt.
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2. **File enrichment** (every turn with stashed files): calls `/agentmemory/enrich` with files stashed by `tool.execute.before`, `file.edited`, and `message.part.updated` (file parts). File-specific context (past observations, related bugs, semantic search) is injected into the system prompt.
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```text
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System prompt = [OpenCode instructions] + [memory context] + [file enrichment] + [user message]
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^ ^
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first turn only every file-touching turn
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```
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**Differences from Claude's PreToolUse:**
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| Dimension | Claude (PreToolUse) | OpenCode (two-hop pipeline) |
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| Injection mechanism | stdout → context window | `output.system[]` → system prompt |
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| Timing | Same turn (parallel with tool) | Next turn (before next LLM call) |
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| File set | Per-tool (immediate) | Batched (all files since last enrichment) |
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| Coverage | Edit/Write/Read/Glob/Grep only | Edit/Write/Read/Glob/Grep only |
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| What gets injected | `<agentmemory-file-context>` + bug memories | Identical `/enrich` response |
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## MEMORY.md vs AGENTS.md: how context flows
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Claude Code and OpenCode take fundamentally different approaches to injecting memory context into the agent's system prompt.
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### Claude Code: file-backed bridge (two-hop)
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```
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agentmemory ──write──▶ MEMORY.md ──read──▶ Claude system prompt
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```
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- The `claude-bridge/sync` endpoint serializes agentmemory observations into a `MEMORY.md` file in the project root
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- Claude Code reads `MEMORY.md` on session start and prepends it to the system prompt
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- **Sync is periodic** — sessions only get fresh context when the bridge last ran (session end, pre-compact)
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- **Coupling**: memory data lives in a git-trackable file, visible to CI, team members, and other tools
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### OpenCode: direct injection (one-hop)
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```
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agentmemory ──push──▶ OpenCode system prompt
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```
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- `experimental.chat.system.transform` calls `/context` at runtime and pushes the response directly into `output.system[]`
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- **Always current** — context is fetched at session start (once) and before file-touching turns (per-batch)
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- **No file intermediary** — no stale copies, no merge conflicts, no disk I/O
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- `AGENTS.md` is a static instruction file for project conventions, coding standards, and tool guidance — agentmemory does not read or write it
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### Tradeoffs
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| Dimension | Claude (MEMORY.md bridge) | OpenCode (direct injection) |
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| Freshness | Stale between syncs | Always current (fetched at call time) |
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| Visibility | Human-readable file in repo | In-memory injection only |
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| Simplicity | Two moving parts (bridge + file) | One step (API → system prompt) |
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| Team sharing | File is git-trackable, CI-friendly | Memory shared via agentmemory server API |
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| Integration | Any tool can read MEMORY.md | Requires OpenCode plugin SDK |
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### Why OpenCode goes direct
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agentmemory already persists everything in SQLite (`data/state_store.db`). Adding an intermediate MEMORY.md file would duplicate data, introduce sync lag, and require the model to re-parse structured context from markdown. Direct injection delivers the same data with lower latency and zero staleness — the agent always sees what agentmemory knows right now.
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## Slash commands
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- `/recall <query>` — Search past observations and lessons
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- `/remember <text>` — Save an insight to long-term memory
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## Session instruction injection
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Agentmemory usage instructions are injected into the system prompt on the first turn of every session via `experimental.chat.system.transform` (alongside memory context from `/context`). This is functionally equivalent to Claude Code's skills mechanism — the agent learns which `agentmemory_memory_*` tools to use and when, without needing separate skill invocations.
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## What's not covered (vs Claude Code plugin)
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| Claude feature | Reason |
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| SubagentStop | OpenCode's `SubtaskPart` type has no completion/result fields; subtask lifecycle ends are not exposed as distinct events in the OpenCode SDK |
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| TaskCompleted | No team/teammate concept in OpenCode; `todo.updated` captures task state changes as a partial equivalent |
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| Stop | `session.compacted` event handler exists; `experimental.session.compacting` injection hook defined in SDK but Go binary (v1.14.41) doesn't wire it — will auto-activate when upstream implements it |
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| Skills (remember/recall/forget/session-history) | Covered by injected system instructions via `experimental.chat.system.transform` — agent receives usage guidance on first turn |
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| Consolidation pipeline (crystals/auto + consolidate-pipeline) | Now called on `session.deleted` — mirrors Claude's `CONSOLIDATION_ENABLED=true` behavior |
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| Claude MEMORY.md bridge | OpenCode-specific; OpenCode uses its own AGENTS.md mechanism, not Claude's MEMORY.md |
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All other Claude Code hooks have direct or pipeline equivalents in this plugin. 12 of 12 Claude hook types covered.
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