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AMCP

PyPI version CI Python 3.11+ License: Apache-2.0

A Lego-style coding agent CLI with built-in tools (grep, read files, bash execution, web search/fetch) and MCP server integration for extended capabilities.

Features

  • Built-in Tools: read_file, grep, bash, think, todo, apply_patch, write_file, task, web_search, web_fetch, memory
  • MCP Integration: Connect to any MCP server (stdio or HTTP/SSE transport) for extended capabilities
  • Multi-LLM Support: OpenAI Chat Completions, OpenAI Responses API, Anthropic Claude, and any OpenAI-compatible endpoint
  • Multi-Agent System: Primary/Subagent architecture with built-in agent types (coder, explorer, planner, focused_coder)
  • Skills System: Reusable knowledge/behavior definitions with auto-trigger, scheduling, and hot reload
  • Slash Commands: Custom command shortcuts with shell injection (!{...}) and file injection (@{...})
  • Conversation History: Persistent sessions across runs
  • Flexible Configuration: YAML-based agent specifications and TOML config
  • ACP Support: Full Agent Client Protocol support for IDE integration (Zed, etc.)
  • AGENTS.md Support: Auto-load project-specific rules from AGENTS.md files
  • Smart Context Compaction: Intelligent context management with dynamic thresholds
  • Progressive Context View: Dynamic tool and skill loading based on relevance scoring and context budget
  • Memory System: Persistent cross-session memory (MEMORY.md + HISTORY.md) at user and project levels
  • Event Bus: Publish/subscribe system for agent communication and extensibility
  • Hooks System: Extensible hooks for tool validation, logging, and custom behaviors
  • HTTP/WebSocket Server: Remote access via FastAPI with session management and live events
  • Telegram Bot Integration: Remote interaction with DM/group support, pairing, and notifications
  • Automation/Cron Jobs: Scheduled task execution for external orchestrators (systemd, cron, K8s)
  • Model Database: Model metadata from models.dev for context window and output limit resolution

Installation

Quick Run with uvx (no install needed)

# Initialize config first (model and runtime settings)
uvx amcp-agent init

# Run the agent
uvx amcp-agent

# Run as ACP server (for IDE integration)
uvx amcp-agent acp serve

From PyPI

pip install amcp-agent

# With Anthropic Claude support
pip install amcp-agent[anthropic]

# With Telegram bot support
pip install amcp-agent[telegram]

From Source (development)

git clone https://github.com/tao12345666333/amcp.git
cd amcp

# using uv (recommended)
uv venv && source .venv/bin/activate
uv pip install -e ".[dev]"

# or with pip
python -m venv .venv && source .venv/bin/activate
pip install -e ".[dev]"

Usage

# Initialize config
amcp init              # interactive wizard
amcp init --quick      # default config without prompts

# Agent chat (default command)
amcp                                    # interactive mode with conversation history
amcp --once "create a hello.py file"    # single message
amcp -t explorer --once "find all TODOs"  # use built-in agent type
amcp --agent path/to/agent.yaml         # use custom agent spec
amcp --session my-session               # use specific session ID
amcp --clear                            # clear conversation history
amcp --list                             # list available agent specifications
amcp --list-types                       # list built-in agent types
amcp --list-sessions                    # list saved sessions

# MCP server management
amcp mcp tools --server exa
amcp mcp call --server exa --tool web_search_exa --args '{"query":"rust async"}'

# ACP (IDE integration)
amcp acp serve                          # start ACP agent server (stdio)
amcp acp info                           # show ACP configuration info

# HTTP/WebSocket server
amcp serve                              # start on localhost:4096
amcp serve --port 8080 --host 0.0.0.0   # custom host/port
amcp serve --telegram                   # start Telegram bot alongside
amcp attach http://localhost:4096       # connect to a running server

# Telegram bot
amcp telegram start                     # start polling
amcp telegram status                    # show config status
amcp telegram setup                     # interactive setup

# Automation / cron jobs
amcp cron list                          # list scheduled jobs
amcp cron add                           # add a new job
amcp cron run <job-name>                # run a job immediately
amcp cron enable <job-name>             # enable a job
amcp cron disable <job-name>            # disable a job

Built-in Tools

Tool Description
read_file Read text files with slice mode (line ranges) or indentation mode (anchor-based context)
grep Search for patterns in files using ripgrep
bash Execute shell commands from the request working directory; large output is truncated
think Internal reasoning and planning
todo Manage a todo list to track tasks during complex operations
apply_patch Apply diff-based patches to files (see docs/apply-patch.md)
write_file Write content to files (for creating new small files)
task Spawn sub-agents for parallel task execution
web_search Search the web for information
web_fetch Fetch and extract content from web pages
memory Store and retrieve persistent cross-session memories

Multi-Agent System

AMCP supports a Primary/Subagent architecture with built-in agent types:

Agent Type Mode Description
coder Primary Full-capability coding agent with write access
explorer Subagent Read-only fast codebase exploration
planner Subagent Read-only planning and analysis
focused_coder Subagent Focused implementation of specific changes

Primary agents can delegate to subagents for complex tasks. Use -t <type> to select an agent type.

Skills System

Skills are reusable knowledge or behavior definitions (markdown with YAML frontmatter) that inject specialized capabilities into the agent's system prompt. See docs/skills-and-commands.md for full documentation.

Built-in skills:

  • skill-creator - Generate new skills interactively
  • session-cleanup - Clean up old session files
  • heartbeat - Periodic health check and status reporting
  • networked-research - Multi-source web research with synthesis
  • telegram-sender - Send messages via Telegram

Discovery locations (increasing precedence):

  1. Built-in skills (bundled with AMCP)
  2. User skills: ~/.config/amcp/skills/<name>/SKILL.md
  3. Home agent skills: ~/.agents/skills/<name>/SKILL.md
  4. Project skills: .amcp/skills/<name>/SKILL.md

Skills support scheduled (cron) and event-based auto-triggers for autonomous execution. Hot reload is enabled when running the HTTP server.

Slash Commands

Custom command shortcuts defined as TOML files, invoked with /command syntax. Features include:

  • {{args}} placeholder for command arguments
  • !{shell command} for shell output injection (auto-escaped args)
  • @{file path} for file content injection
  • Namespaced commands via subdirectories (e.g., git/commit.toml -> /git:commit)

Discovery locations:

  1. User commands: ~/.config/amcp/commands/*.toml
  2. Project commands: .amcp/commands/*.toml (takes precedence)

See docs/skills-and-commands.md for details and examples/commands/ for samples.

ACP (Agent Client Protocol) Support

AMCP fully supports the Agent Client Protocol for integration with IDEs like Zed.

Features

  • Session Management: Create, load, and list sessions
  • Session Modes: ask (request permission), architect (plan only), code (full tool access)
  • Slash Commands: /clear, /plan, /search, /help
  • Agent Plans: Visual execution plans for complex tasks
  • Permission Requests: User approval for sensitive operations
  • Client Capabilities: Use client's filesystem and terminal when available

Zed Integration

Add to your Zed settings (~/.config/zed/settings.json):

{
  "agent": {
    "profiles": {
      "amcp": {
        "name": "AMCP",
        "provider": {
          "type": "acp",
          "command": "amcp",
          "args": ["acp", "serve"]
        }
      }
    },
    "default_profile": "amcp"
  }
}

HTTP/WebSocket Server

AMCP can run as an HTTP/WebSocket server for remote access:

amcp serve                    # start on localhost:4096
amcp serve --port 8080        # custom port
amcp serve -w /path/to/project  # set working directory
amcp attach http://localhost:4096  # connect from another terminal

API endpoints (visit /docs for interactive Swagger UI):

  • GET /api/v1/health - health check
  • POST /api/v1/sessions - create sessions
  • POST /api/v1/sessions/{id}/prompt - submit a prompt and return request status
  • POST /api/v1/sessions/{id}/prompt/stream - submit a prompt and stream JSON-line events
  • POST /api/v1/sessions/{id}/cancel - cancel current session work
  • DELETE /api/v1/sessions/{id} - delete a session
  • GET /api/v1/tools - list available tools
  • GET /api/v1/agents - list agent types
  • WS /ws - WebSocket for live events

Supports CORS configuration and optional server-side authentication.

Telegram Integration

AMCP provides a Telegram Bot interface for remote interaction with agents. Install with pip install amcp-agent[telegram].

Features:

  • DM and group chat support with configurable policies (allowlist, mention, open, disabled)
  • Pairing via one-time codes
  • Topic/thread support in group chats
  • Notification system (CI failures, PR reviews, task completions, error alerts)
  • Webhook and polling modes
  • Rate limiting, session timeout, typing indicators, and bounded per-session queues
  • Shared slash commands including /new, /session list, /session switch <id>, /clear, and /cancel
  • /new creates a fresh session and abandons the previous Telegram session's active work and queued messages

Configure via amcp telegram setup or in config.toml under [telegram].

Automation / Cron Jobs

AMCP supports scheduled automation jobs designed for external orchestrators (systemd, cron, K8s):

amcp cron list                # list configured jobs
amcp cron add                 # add a new job interactively
amcp cron run ci-check        # execute a job once
amcp cron enable ci-check     # enable a job
amcp cron disable ci-check    # disable a job

Jobs are defined in config.toml under [automation.jobs] and can reference skills or custom prompts with cron schedules.

Memory System

AMCP maintains persistent cross-session memory using a two-layer approach:

  • MEMORY.md: Long-term facts, preferences, and knowledge (curated, compact)
  • HISTORY.md: Append-only searchable log of past activities

Memory is stored at:

  • User-level: ~/.config/amcp/memory/
  • Project-level: .amcp/memory/ (project-specific knowledge)

The agent uses the memory tool to store and retrieve memories, enabling self-evolution by accumulating knowledge over time.

Hooks System

AMCP provides a flexible hooks system to extend and customize agent behavior. Hooks can:

  • Validate and modify tool inputs before execution
  • Process tool outputs after execution
  • Block dangerous operations
  • Log and audit agent activities

Create .amcp/hooks.toml in your project:

[hooks.PreToolUse]
[[hooks.PreToolUse.handlers]]
matcher = "write_file|apply_patch"
type = "python"
script = "./scripts/validate-writes.py"
timeout = 30

[[hooks.PostToolUse.handlers]]
matcher = "*"
type = "command"
command = "echo 'Tool executed' >> /tmp/tool_log.txt"

See docs/hooks.md for full documentation.

Config

The CLI loads configuration from ~/.config/amcp/config.toml. Generate a starter config:

amcp init

Chat Configuration

[chat]
api_type = "openai"            # "openai" (default), "openai_responses", or "anthropic"
base_url = "https://example.com/v1"
model = "provider/model-name"
mcp_tools_enabled = true
write_tool_enabled = true
edit_tool_enabled = true
tool_loop_limit = 300
default_max_lines = 400
default_agent = "coder"        # optional: coder, explorer, planner, focused_coder
max_queue_size = 100

Anthropic Claude:

[chat]
api_type = "anthropic"
model = "claude-model-name"

Install with: pip install amcp-agent[anthropic]

MCP Servers

# HTTP/SSE transport
[servers.exa]
url = "https://mcp.exa.ai/mcp"

# stdio transport
[servers.custom]
command = "npx"
args = ["-y", "@some/mcp-server"]

Context Optimization

[context]
progressive_tools = true       # dynamically load tools based on relevance
progressive_skills = true      # dynamically load skills based on relevance
response_ratio = 0.30          # reserve 30% of context for response

Server Configuration

[server]
host = "127.0.0.1"
port = 4096

Telegram Configuration

[telegram]
enabled = false
allowed_users = [123456789]
admin_users = [123456789]
dm_policy = "allowlist"        # "allowlist", "pairing", "open", "disabled"
group_policy = "mention"       # "mention", "open", "allowlist", "disabled"
max_queue_size = 20
typing_indicator = true

[telegram.pairing]
enabled = true
code_ttl_seconds = 1800

The Telegram runtime also supports group-specific and topic-specific policy overrides under [telegram.groups."<chat_id>"] and [telegram.groups."<chat_id>".topics."<topic_id>"].

Automation Configuration

[automation]
enabled = true
default_timeout = 300

[[automation.jobs]]
name = "ci-check"
command = "Run tests and lint checks"
schedule = "0 9 * * 1-5"       # weekdays at 9 AM
enabled = true
timeout = 600

Development

Setup

pip install -e ".[dev]"
pre-commit install

Running Tests

make test          # run all tests
make test-cov      # run with coverage
pytest tests/test_tools.py -v  # specific test

Code Quality

make lint          # ruff check
make format        # ruff format
make type-check    # mypy

See CONTRIBUTING.md for detailed development guidelines.

Notes

  • rg (ripgrep) must be installed and on PATH for the grep tool.
  • MCP servers must be installed separately and runnable (stdio transport).
  • The agent does not add an application-level retry around model provider failures; provider client behavior applies.
  • Tool-call guardrails include per-request bash limits, output truncation for bash, and session-level read_file limits.

License

Apache-2.0

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