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Rewrite English README for current architecture
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344
README_EN.md
344
README_EN.md
@@ -1,75 +1,150 @@
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# ClawGo 🚀
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# ClawGo
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A long-running AI Agent written in Go: lightweight, auditable, and multi-channel ready.
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ClawGo is a long-running AI agent system written in Go, designed around:
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- declarative main-agent and subagent configuration
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- persistent run / thread / mailbox state
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- node-registered remote agent branches
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- multi-channel access plus a unified WebUI
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- lightweight runtime behavior with strong auditability
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[中文](./README.md)
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---
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## What It Does ✨
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## Current Architecture
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- 🤖 Local chat mode: `clawgo agent`
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- 🌐 Gateway service mode: `clawgo gateway`
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- 💬 Multi-channel support: Telegram / Feishu / Discord / WhatsApp / QQ / DingTalk / MaixCam
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- 🧰 Tool calling, skills, and sub-task collaboration
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- 🧠 Autonomous tasks (queue, audit, conflict locks)
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- 📊 WebUI for visibility (Chat / Logs / Config / Cron / Tasks / EKG)
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ClawGo is no longer a "single agent plus some tools" runtime. It is now an orchestrated agent tree:
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- `main agent`
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- user-facing entrypoint
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- owns routing, dispatch, merge, and coordination
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- `local subagents`
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- for example `coder`, `tester`
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- declared in `config.json` under `agents.subagents`
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- `node-backed branches`
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- a registered node is treated as a remote branch under `main`
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- branch ids look like `node.<node_id>.main`
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- they can be targeted by the main agent as controlled remote execution branches
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The default collaboration pattern is:
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```text
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user -> main -> worker -> main -> user
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```
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---
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## Concurrency Scheduling (New) ⚙️
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## Core Capabilities
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- 🧩 A composite message is automatically split into sub-tasks
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- 🔀 Within the same session: non-conflicting tasks run in parallel
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- 🔒 Within the same session: conflicting tasks run serially (to avoid collisions)
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- 🏷️ `resource_keys` are inferred automatically by default (no manual input needed)
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### 1. Agent Config and Routing
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- `agents.router`
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- main-agent routing configuration
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- supports `rules_first`, explicit `@agent_id`, and keyword routing
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- `agents.subagents`
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- declares agent identity, role, runtime policy, and tool allowlists
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- `system_prompt_file`
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- subagents now prefer `agents/<agent_id>/AGENT.md`
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- they are no longer expected to rely on a one-line inline prompt
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### 2. Persistent Subagent Runtime
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Runtime state is persisted under:
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- `workspace/agents/runtime/subagent_runs.jsonl`
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- `workspace/agents/runtime/subagent_events.jsonl`
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- `workspace/agents/runtime/threads.jsonl`
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- `workspace/agents/runtime/agent_messages.jsonl`
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This enables:
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- run recovery
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- thread tracing
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- mailbox / inbox inspection
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- dispatch / wait / merge workflows
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### 3. Node Branches
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A registered node is not treated as just a device entry anymore. It is modeled as a remote main-agent branch:
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- nodes appear inside the unified agent topology
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- remote registries are shown as read-only mirrors
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- a subagent with `transport=node` is dispatched through `agent_task` to the target node
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### 4. WebUI
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The WebUI is now organized as a unified agent operations console, including:
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- Dashboard
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- Chat
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- Config
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- Logs
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- Cron
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- Skills
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- Memory
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- Task Audit
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- EKG
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- Agents
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- unified agent topology
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- local and remote agent trees
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- subagent runtime
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- registry
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- prompt file editor
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- dispatch / thread / inbox controls
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### 5. Memory Strategy
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Memory is not fully shared and not fully isolated either. It uses a dual-write model:
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- `main`
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- keeps workspace-level memory and collaboration summaries
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- `subagent`
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- writes to its own namespaced memory
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- paths look like `workspace/agents/<memory_ns>/...`
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- for automatic subagent summaries:
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- the subagent keeps its own detailed entry
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- the main memory also receives a short collaboration summary
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Example summary format:
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```md
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## 15:04 Code Agent | Fix login API and add tests
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- Did: Fixed the login API, added regression coverage, and verified the result.
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```
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---
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## Memory + EKG Enhancements (New) 🧠
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## Quick Start
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- 📚 Before each sub-task runs, related memory is fetched via `memory_search`
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- 🚨 EKG + task-audit are used to detect repeated error-signature risks
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- ⏱️ High-risk tasks include retry-backoff hints to reduce repeated failures
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---
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## Telegram Streaming Rendering (New) 💬
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- 🧷 Stream flushes happen at syntax-safe boundaries to reduce formatting jitter
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- ✅ A final convergence render is applied when streaming ends for stable layout
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---
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## 3-Minute Quick Start ⚡
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### 1) Install
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### 1. Install
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```bash
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curl -fsSL https://raw.githubusercontent.com/YspCoder/clawgo/main/install.sh | bash
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```
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### 2) Initialize
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### 2. Initialize
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```bash
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clawgo onboard
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```
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### 3) Configure provider
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### 3. Configure a provider
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```bash
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clawgo provider
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```
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### 4) Check status
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### 4. Check status
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```bash
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clawgo status
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```
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### 5) Start using it
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### 5. Start
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Local mode:
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Local interactive mode:
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```bash
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clawgo agent
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@@ -79,18 +154,20 @@ clawgo agent -m "Hello"
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Gateway mode:
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```bash
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# Register + enable systemd service
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clawgo gateway
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clawgo gateway start
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clawgo gateway status
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```
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# Or run in foreground
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Foreground mode:
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```bash
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clawgo gateway run
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```
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---
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## WebUI 🖥️
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## WebUI
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Open:
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@@ -98,23 +175,102 @@ Open:
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http://<host>:<port>/webui?token=<gateway.token>
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```
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Main pages:
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Recommended pages:
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- Dashboard
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- Chat
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- Logs
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- Skills
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- Config
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- Cron
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- Nodes
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- Memory
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- Task Audit
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- Tasks
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- EKG
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- `Agents`
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- view the entire agent tree
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- inspect node branches
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- inspect active runtime tasks
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- edit local subagent configuration
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- `Config`
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- edit runtime configuration
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- `Logs`
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- inspect real-time logs
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- `Task Audit`
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- inspect task decomposition, scheduling, and execution flow
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- `EKG`
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- inspect error signatures, source distribution, and workload hotspots
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---
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## Common Commands 📌
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## Config Layout
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The current recommended structure is centered around:
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```json
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{
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"agents": {
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"defaults": {
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"context_compaction": {},
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"execution": {},
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"summary_policy": {}
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},
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"router": {
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"enabled": true,
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"main_agent_id": "main",
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"strategy": "rules_first",
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"policy": {
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"intent_max_input_chars": 1200,
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"max_rounds_without_user": 200
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},
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"rules": []
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},
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"communication": {},
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"subagents": {
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"main": {},
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"coder": {},
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"tester": {},
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"node.edge-dev.main": {}
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}
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}
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}
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```
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Important notes:
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- `runtime_control` has been removed
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- the current structure uses:
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- `agents.defaults.execution`
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- `agents.defaults.summary_policy`
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- `agents.router.policy`
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- enabled local subagents must define `system_prompt_file`
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- node-backed agents use:
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- `transport: "node"`
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- `node_id`
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- `parent_agent_id`
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See the full example:
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- [config.example.json](/Users/lpf/Desktop/project/clawgo/config.example.json)
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---
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## Subagent Prompt Convention
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Each agent should ideally have its own prompt file:
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- `agents/main/AGENT.md`
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- `agents/coder/AGENT.md`
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- `agents/tester/AGENT.md`
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Example:
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```json
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{
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"system_prompt_file": "agents/coder/AGENT.md"
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}
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```
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Rules:
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- the path must stay inside the workspace
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- the path should be relative
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- when creating a subagent, update both config and the matching `AGENT.md`
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- when a subagent's responsibility changes materially, update its `AGENT.md` too
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---
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## Common Commands
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```text
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clawgo onboard
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@@ -123,7 +279,6 @@ clawgo status
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clawgo agent [-m "..."]
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clawgo gateway [run|start|stop|restart|status]
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clawgo config set|get|check|reload
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clawgo channel test ...
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clawgo cron ...
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clawgo skills ...
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clawgo uninstall [--purge] [--remove-bin]
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@@ -131,74 +286,49 @@ clawgo uninstall [--purge] [--remove-bin]
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---
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## Build & Release 🛠️
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## Build
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Build all default targets:
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Local build:
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```bash
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make build
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```
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Build all targets:
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```bash
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make build-all
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```
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Linux slim build:
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```bash
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make build-linux-slim
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```
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Custom target matrix:
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```bash
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make build-all BUILD_TARGETS="linux/amd64 linux/arm64 darwin/arm64 windows/amd64"
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```
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Package + checksums:
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Package outputs:
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```bash
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make package-all
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```
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Outputs:
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---
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- `build/*.tar.gz` (Linux/macOS)
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- `build/*.zip` (Windows)
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- `build/checksums.txt`
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## Design Direction
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ClawGo currently leans toward these design choices:
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- main-agent mediation first
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- persisted runtime state first
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- declarative config first
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- unified operations UI before more aggressive automation
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- nodes modeled as controlled remote agent branches, not fully autonomous peers
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In practice, that means this project is closer to:
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- a long-running personal AI agent runtime
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- with multi-agent orchestration
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- with node expansion
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- with operational visibility and auditability
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rather than a simple chat bot wrapper.
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---
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## GitHub Release Automation 📦
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Built-in workflow: `.github/workflows/release.yml`
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Triggers:
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- Tag push (e.g. `v0.0.2`)
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- Manual `workflow_dispatch`
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Example:
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```bash
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git tag v0.0.2
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git push origin v0.0.2
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```
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---
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## Config Notes ⚙️
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- Strict JSON validation (unknown fields fail fast)
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- Supports hot reload: `clawgo config reload`
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- Auto rollback if hot reload fails
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---
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## Production Tips ✅
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- Enable channel dedupe windows
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- Monitor Task Audit and EKG regularly
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- Use gateway mode for long-running workloads
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---
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## License 📄
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## License
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See `LICENSE` in this repository.
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Block a user