feat(knowledge): add cli and update docs

This commit is contained in:
zhayujie
2026-04-12 16:39:06 +08:00
parent ea78e3d0c6
commit a1d82f6193
34 changed files with 956 additions and 208 deletions

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@@ -92,6 +92,31 @@ View recent service logs. Shows the last 20 lines by default, up to 50.
/logs 50
```
## knowledge
View and manage the personal knowledge base. Shows statistics by default.
```text
/knowledge
```
**View directory structure:**
```text
/knowledge list
```
**Enable / disable knowledge base:**
```text
/knowledge on
/knowledge off
```
<Note>
In the terminal CLI, `cow knowledge` and `cow knowledge list` are available, but `on|off` is only supported in chat (requires runtime effect).
</Note>
## version
Show the current CowAgent version.

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@@ -40,6 +40,9 @@ Service:
Skills:
skill Manage skills (list / search / install / uninstall ...)
Knowledge:
knowledge View knowledge base stats and structure
Others:
help Show this help message
version Show version
@@ -55,6 +58,9 @@ In the Web console or any connected channel, type `/` to see command suggestions
| `/status` | View service status and configuration |
| `/config` | View or modify runtime configuration |
| `/skill` | Manage skills (install, uninstall, enable, disable, etc.) |
| `/knowledge` | View knowledge base statistics |
| `/knowledge list` | View knowledge base directory structure |
| `/knowledge on\|off` | Enable or disable knowledge base |
| `/context` | View current session context info |
| `/context clear` | Clear current session context |
| `/logs` | View recent logs |
@@ -74,6 +80,7 @@ In the Web console or any connected channel, type `/` to see command suggestions
| logs | ✓ | ✓ |
| config | ✗ | ✓ |
| context | — | ✓ |
| knowledge (subcommands) | ✓ | ✓ |
| skill (subcommands) | ✓ | ✓ |
| start / stop / restart | ✓ | ✗ |
| update | ✓ | ✗ |

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@@ -11,14 +11,16 @@ CowAgent's architecture consists of the following core modules:
<img src="https://cdn.link-ai.tech/doc/68ef7b212c6f791e0e74314b912149f9-sz_5847990.png" alt="CowAgent Architecture" />
### Core Modules
| Module | Description |
| --- | --- |
| **Channels** | Message channel layer for receiving and sending messages. Supports Web, Feishu, DingTalk, WeCom, WeChat Official Account, and more |
| **Agent Core** | Agent engine including task planning, memory system, and skills engine |
| **Tools** | Tool layer for Agent to access OS resources. 10+ built-in tools |
| **Models** | Model layer with unified access to mainstream LLMs |
| **Plan** | Understands user intent, decomposes complex tasks into multi-step plans, and iteratively invokes tools until the goal is achieved |
| **Memory** | Automatically persists important information as core memory and daily memory, with hybrid keyword and vector retrieval for cross-session context continuity |
| **Knowledge** | Organizes structured knowledge by topic. The Agent autonomously distills valuable information into Markdown pages, maintaining indexes and cross-references to build a growing knowledge network |
| **Tools** | Core capability for Agent to access OS resources. 10+ built-in tools including file read/write, terminal, browser, scheduler, memory search, web search, and more |
| **Skills** | Loads and manages Skills. Supports one-click installation from Skill Hub, GitHub, and more, or custom skill creation through conversation |
| **Models** | Model layer with unified access to OpenAI, Claude, Gemini, DeepSeek, MiniMax, GLM, Qwen, and other mainstream LLMs |
| **Channels** | Message channel layer for receiving and sending messages. Supports Web console, WeChat, Feishu, DingTalk, WeCom, WeChat Official Account, and more with a unified protocol |
| **CLI** | Command-line system providing terminal commands (`cow`) and chat commands (`/`) for process management, skill installation, configuration, knowledge base management, and more |
## Agent Mode Workflow
@@ -28,7 +30,7 @@ When Agent mode is enabled, CowAgent runs as an autonomous agent with the follow
2. **Understand Intent** — Analyze task requirements and context
3. **Plan Task** — Break complex tasks into multiple steps
4. **Invoke Tools** — Select and execute appropriate tools for each step
5. **Update Memory** — Store important information in long-term memory
5. **Update Memory & Knowledge** — Store important information in long-term memory and organize structured knowledge into the knowledge base
6. **Return Result** — Send execution results back to the user
## Workspace Directory Structure
@@ -39,9 +41,12 @@ The Agent workspace is located at `~/cow` by default and stores system prompts,
~/cow/
├── system.md # Agent system prompt
├── user.md # User profile
├── MEMORY.md # Core memory
├── memory/ # Long-term memory storage
── core.md # Core memory
│ └── daily/ # Daily memory
── YYYY-MM-DD.md # Daily memory
├── knowledge/ # Personal knowledge base
│ ├── index.md # Knowledge index
│ └── <category>/ # Topic-based pages
└── skills/ # Custom skills
├── skill-1/
└── skill-2/
@@ -75,3 +80,4 @@ Configure Agent mode parameters in `config.json`:
| `agent_max_context_tokens` | Max context tokens | `40000` |
| `agent_max_context_turns` | Max context turns | `30` |
| `agent_max_steps` | Max decision steps per task | `15` |
| `knowledge` | Enable personal knowledge base | `true` |

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@@ -15,13 +15,26 @@ In subsequent long-term conversations, the Agent intelligently stores or retriev
<img src="https://cdn.link-ai.tech/doc/20260203000455.png" width="800" />
</Frame>
## 2. Task Planning and Tool Use
## 2. Personal Knowledge Base
> The knowledge base system enables the Agent to continuously accumulate and organize structured knowledge. Unlike memory which records along a timeline, the knowledge base is organized by topics, transforming articles, conversation insights, and learning materials into interconnected Markdown pages that form a continuously growing knowledge network.
The Agent automatically organizes valuable information from conversations into knowledge pages, maintaining cross-references and indexes. The Web console provides document browsing and knowledge graph visualization. Knowledge is stored in `~/cow/knowledge/` within the workspace.
- **Auto-organization**: The Agent autonomously extracts and organizes structured knowledge during conversations, maintaining indexes and cross-references
- **Knowledge graph**: Automatically builds a knowledge graph from cross-references between pages, with interactive graph visualization in the Web console
- **Chat integration**: Knowledge document links referenced in Agent replies can be clicked directly in the Web console for viewing
- **CLI management**: Use `/knowledge` commands to view stats, browse directory, and toggle the feature with `/knowledge on|off`
See [Personal Knowledge Base](/en/knowledge) for details.
## 3. Task Planning and Tool Use
Tools are the core of how the Agent accesses operating system resources. The Agent intelligently selects and invokes tools based on task requirements, performing file read/write, command execution, scheduled tasks, and more. Built-in tools are implemented in the project's `agent/tools/` directory.
**Key tools:** file read/write/edit, Bash terminal, browser, file send, scheduler, memory search, web search, environment config, and more.
### 2.1 Terminal and File Access
### 3.1 Terminal and File Access
Access to the OS terminal and file system is the most fundamental and core capability. Many other tools and skills build on top of this. Users can interact with the Agent from a mobile device to operate resources on their personal computer or server:
@@ -29,7 +42,7 @@ Access to the OS terminal and file system is the most fundamental and core capab
<img src="https://cdn.link-ai.tech/doc/20260202181130.png" width="800" />
</Frame>
### 2.2 Programming Capability
### 3.2 Programming Capability
Combining programming and system access, the Agent can execute the complete **Vibecoding workflow** — from information search, asset generation, coding, testing, deployment, Nginx configuration, to publishing — all triggered by a single command from your phone:
@@ -37,7 +50,7 @@ Combining programming and system access, the Agent can execute the complete **Vi
<img src="https://cdn.link-ai.tech/doc/20260203121008.png" width="800" />
</Frame>
### 2.3 Scheduled Tasks
### 3.3 Scheduled Tasks
The `scheduler` tool enables dynamic scheduled tasks, supporting **one-time tasks, fixed intervals, and Cron expressions**. Tasks can be triggered as either a **fixed message send** or an **Agent dynamic task** execution:
@@ -45,7 +58,7 @@ The `scheduler` tool enables dynamic scheduled tasks, supporting **one-time task
<img src="https://cdn.link-ai.tech/doc/20260202195402.png" width="800" />
</Frame>
### 2.4 Browser
### 3.4 Browser
The built-in `browser` tool allows the Agent to control a Chromium browser to visit web pages, fill forms, click elements, and take screenshots, with support for dynamic JS-rendered pages. Run `cow install-browser` to install with one command, automatically adapting to server (headless) and desktop environments:
@@ -53,7 +66,7 @@ The built-in `browser` tool allows the Agent to control a Chromium browser to vi
<img src="https://cdn.link-ai.tech/doc/20260401110103.png" width="800" />
</Frame>
### 2.5 Environment Variable Management
### 3.5 Environment Variable Management
Secrets required by skills are stored in an environment variable file, managed by the `env_config` tool. You can update secrets through conversation, with built-in security protection and desensitization:
@@ -61,7 +74,7 @@ Secrets required by skills are stored in an environment variable file, managed b
<img src="https://cdn.link-ai.tech/doc/20260202234939.png" width="800" />
</Frame>
## 3. Skills System
## 4. Skills System
The Skills system provides infinite extensibility for the Agent. Each Skill consists of a description file, execution scripts (optional), and resources (optional), describing how to complete specific types of tasks. Skills allow the Agent to follow instructions for complex workflows, invoke tools, or integrate third-party systems.
@@ -71,7 +84,7 @@ The Skills system provides infinite extensibility for the Agent. Each Skill cons
Install skills: `/skill install <name>` or `cow skill install <name>`, supporting Skill Hub, GitHub, ClawHub, URL, and more.
### 3.1 Creating Skills
### 4.1 Creating Skills
The `skill-creator` skill enables rapid skill creation through conversation. You can ask the Agent to codify a workflow as a skill, or send any API documentation and examples for the Agent to complete the integration directly:
@@ -79,7 +92,7 @@ The `skill-creator` skill enables rapid skill creation through conversation. You
<img src="https://cdn.link-ai.tech/doc/20260202202247.png" width="800" />
</Frame>
### 3.2 Web Search and Image Recognition
### 4.2 Web Search and Image Recognition
- **Web search:** Built-in `web_search` tool, supports multiple search engines. Configure `BOCHA_API_KEY` or `LINKAI_API_KEY` to enable.
- **Image recognition:** Built-in `openai-image-vision` skill, supports `gpt-4.1-mini`, `gpt-4.1`, and other models. Requires `OPENAI_API_KEY`.
@@ -88,7 +101,7 @@ The `skill-creator` skill enables rapid skill creation through conversation. You
<img src="https://cdn.link-ai.tech/doc/20260202213219.png" width="800" />
</Frame>
### 3.3 Skill Hub
### 4.3 Skill Hub
Visit [skills.cowagent.ai](https://skills.cowagent.ai/) to browse all available skills, or use commands in conversation:
@@ -102,7 +115,7 @@ Also supports installing skills from GitHub, ClawHub, LinkAI, and other third-pa
<img src="https://cdn.link-ai.tech/doc/20260401110103.png" width="750" />
## 4. CLI Command System
## 5. CLI Command System
CowAgent provides two command interaction methods, covering service management, skill installation, configuration, and more:

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@@ -22,6 +22,9 @@ CowAgent can proactively think and plan tasks, operate computers and external re
<Card title="Long-term Memory" icon="database" href="/en/memory">
Automatically persists conversation memory to local files and databases, including core memory and daily memory, with keyword and vector retrieval support.
</Card>
<Card title="Knowledge Base" icon="book" href="/en/knowledge">
Automatically organizes structured knowledge with knowledge graph visualization, building a continuously growing knowledge network through cross-references.
</Card>
<Card title="Skills System" icon="puzzle-piece" href="/en/skills/index">
Implements a Skills creation and execution engine with built-in skills, and supports custom Skills development through natural language conversation.
</Card>

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@@ -0,0 +1,77 @@
---
title: Personal Knowledge Base
description: CowAgent personal knowledge base — structured knowledge accumulation, automatic organization, and knowledge graph
---
The personal knowledge base is the Agent's long-term structured knowledge store, saved in the `knowledge/` directory within the workspace. Unlike memory, which is organized by timeline, the knowledge base organizes content by topic — articles, conversation insights, and learning materials are structured into interlinked Markdown pages, forming a continuously growing knowledge network.
## Core Concepts
### Knowledge vs Memory
| Dimension | Knowledge Base (knowledge/) | Long-term Memory (memory/) |
| --- | --- | --- |
| Organization | By topic, interlinked | By timeline, dated files |
| Writing | Agent actively structures content | Auto-summarized on context trimming |
| Content | Refined, structured knowledge | Raw conversation summaries |
| Use cases | Study notes, tech docs, project knowledge | Conversation history, event records |
### Directory Structure
```
~/cow/knowledge/
├── index.md # Knowledge index, entry point for all pages
├── log.md # Change log, records each write
├── concepts/ # Conceptual knowledge
│ └── machine-learning.md
├── entities/ # Entity knowledge (people, orgs, tools)
│ └── openai.md
└── sources/ # Source knowledge (articles, papers)
└── llm-wiki.md
```
The directory structure is flexible — the Agent automatically creates appropriate category directories based on actual content. Users can also customize the organization.
## Automatic Organization
Knowledge writing is an autonomous Agent behavior, triggered in these scenarios:
- **User shares an article or document** — The Agent automatically extracts key information and creates a structured knowledge page
- **Conversation produces valuable conclusions** — The Agent organizes insights into knowledge pages and links them to existing knowledge
- **User explicitly requests organization** — Users can guide the Agent to organize and update knowledge through conversation
Each knowledge page includes cross-reference links to related pages, gradually building a knowledge graph.
## Knowledge Retrieval
The Agent can retrieve knowledge during conversation through:
- **Index lookup** — Quickly locate relevant pages via `knowledge/index.md`
- **Semantic search** — Search knowledge content via the `memory_search` tool
- **Direct read** — Read specific knowledge files via the `memory_get` tool
## Web Console
The web console provides a dedicated "Knowledge" module with:
- **Document browsing** — Tree-style directory structure, searchable and collapsible, click to view content
- **Knowledge graph** — D3.js force-directed graph visualizing relationships between knowledge pages
- **Chat integration** — Knowledge document links referenced in Agent replies are clickable for direct navigation
## CLI Commands
Manage the knowledge base with the `/knowledge` command:
| Command | Description |
| --- | --- |
| `/knowledge` | Show knowledge base statistics |
| `/knowledge list` | Display file directory as a tree |
| `/knowledge on` | Enable the knowledge base feature |
| `/knowledge off` | Disable the knowledge base feature |
## Configuration
| Parameter | Description | Default |
| --- | --- | --- |
| `knowledge` | Whether to enable the personal knowledge base | `true` |
| `agent_workspace` | Workspace path; knowledge is stored under the `knowledge/` subdirectory | `~/cow` |

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@@ -1,9 +1,11 @@
---
title: memory - Memory
description: Search and read long-term memory
title: memory - Memory & Knowledge
description: Search and read long-term memory and knowledge base files
---
The memory tool contains two sub-tools: `memory_search` (search memory) and `memory_get` (read memory files).
The memory tool contains two sub-tools: `memory_search` (search memory) and `memory_get` (read memory or knowledge files).
When the [knowledge base](/en/knowledge) feature is enabled, both tools also support accessing files under the `knowledge/` directory.
## Dependencies
@@ -11,7 +13,7 @@ No extra dependencies, available by default. Managed by the Agent Core memory sy
## memory_search
Search historical memory with hybrid keyword and vector retrieval.
Search historical memory and knowledge base content with hybrid keyword and vector retrieval.
| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
@@ -19,11 +21,11 @@ Search historical memory with hybrid keyword and vector retrieval.
## memory_get
Read the content of a specific memory file.
Read the content of a specific memory or knowledge file.
| Parameter | Type | Required | Description |
| --- | --- | --- | --- |
| `path` | string | Yes | Relative path to memory file (e.g. `MEMORY.md`, `memory/2026-01-01.md`) |
| `path` | string | Yes | Relative path to the file (e.g. `MEMORY.md`, `memory/2026-01-01.md`, `knowledge/concepts/rag.md`) |
| `start_line` | integer | No | Start line number |
| `end_line` | integer | No | End line number |
@@ -34,3 +36,8 @@ The Agent automatically invokes memory tools in these scenarios:
- When the user shares important information → stores to memory
- When historical context is needed → searches relevant memory
- When conversation reaches a certain length → extracts summary for storage
- When discussing domain knowledge → retrieves relevant pages from the knowledge base
<Note>
When `knowledge` is set to `false` in config, the tool descriptions and search scope automatically adjust to include only memory files.
</Note>