repository-manager 2.0.1

Manage your git projects

Repository Manager

CLI or API | MCP | Agent

Version: 2.0.1

Documentation — Installation, deployment, usage across the CLI, API, MCP, and agent interfaces, and the phased multi-repository release workflows are maintained in the official documentation.

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Overview

Repository Manager is a production-grade Agent and Model Context Protocol (MCP) server designed to interface directly with Manage your git projects.

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Key Features

• Consolidated Action-Routed MCP Tools: Minimizes token overhead and eliminates tool bloat in LLM contexts by grouping methods into optimized, togglable tool modules.
• Enterprise-Grade Security: Comprehensive support for Eunomia policies, OIDC token delegation, and granular execution context tracking.
• Integrated Graph Agent: Built-in Pydantic AI agent supporting the Agent Control Protocol (ACP) and standard Web interfaces (AG-UI).
• Native Telemetry & Tracing: Out-of-the-box OpenTelemetry exports and native Langfuse tracing.

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CLI or API

This agent wraps the Manage your git projects API. You can interact with it programmatically or via its integrated execution entrypoints.

Detailed instructions on how to use the underlying API wrappers, extended schema bindings, and developer SDK references are maintained in docs/index.md.

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MCP

This server utilizes dynamic Action-Routed tools to optimize token overhead and maximize IDE compatibility.

Available MCP Tools

This table is auto-generated from the live server — do not edit by hand.

Condensed action-routed tools (default — MCP_TOOL_MODE=condensed)

MCP Tool	Toggle Env Var	Description
rm_git	GIT_OPERATIONSTOOL	Bulk Git operations and arbitrary command execution.
rm_projects	PROJECT_MANAGEMENTTOOL	Bulk install, build, and validate Python projects.
rm_workspace	WORKSPACE_MANAGEMENTTOOL	Core workspace organization, configuration, and maintenance.
rm_worktree	PROJECT_MANAGEMENTTOOL	Manage git worktrees for concurrent multi-session development (CONCEPT:RM-WORKTREE).

Verbose 1:1 API-mapped tools (MCP_TOOL_MODE=verbose or both)

42 per-operation tools — one per public API method (click to expand)

MCP Tool	Toggle Env Var	Description
repository_manager_add_project	GITTOOL	Stage all changes (git add -A) for a single Git project.
repository_manager_add_projects	GITTOOL	Stage all changes for multiple projects in parallel.
repository_manager_build_projects	GITTOOL	Bulk builds Python and Node.js projects in the workspace.
repository_manager_bulk_bump	GITTOOL	Bumps the version for all projects in the workspace in parallel.
repository_manager_bump_version	GITTOOL	Bump the version of the project using bump2version.
repository_manager_cleanup_artifacts	GITTOOL	Removes test artifacts and temporary files from the specified directory.
repository_manager_clone_projects	GITTOOL	Clone all specified Git projects in parallel using multiple threads.
repository_manager_clone_repository	GITTOOL	Clone a single Git repository to a specific target path.
repository_manager_commit_code_project	GITTOOL	Stage ALL changes (git add -A), optionally gate on pre-commit, then commit.
repository_manager_commit_code_projects	GITTOOL	Concurrently stage + pre-commit + commit feature code across projects.
repository_manager_commit_project	GITTOOL	Commit staged changes (git commit -m "{message}") for a single Git project.
repository_manager_commit_projects	GITTOOL	Commit staged changes for multiple projects in parallel.
repository_manager_create_project	GITTOOL	Create a new project directory and initialize it as a git repository.
repository_manager_discover_projects	GITTOOL	Scan self.path for immediate subdirectories containing a .git folder.
repository_manager_generate_markdown_summary	GITTOOL	Generates a beautiful markdown summary of bulk operation results.
repository_manager_generate_workspace_template	GITTOOL	Generates a workspace.yml template at the specified path.
repository_manager_get_consolidated_skill_paths	GITTOOL	Returns absolute paths to the 15 specific building and documentation skills.
repository_manager_get_project_map	GITTOOL	Returns the mapping of repository URLs to their local project paths.
repository_manager_get_readme	GITTOOL	Get the content and path of the README.md file in the specified path.
repository_manager_get_workspace_projects	GITTOOL	Returns a list of project basenames (e.g. 'genius-agent') defined in the workspace.
repository_manager_git_action	GITTOOL	Execute a Git command in the specified directory.
repository_manager_install_project	GITTOOL	Install a Python project using pip install -e .[extra].
repository_manager_install_projects	GITTOOL	Bulk installs Python and Node projects in the workspace.
repository_manager_list_branches	GITTOOL	Returns a dictionary mapping project basenames to their current active git branch.
repository_manager_load_projects_from_yaml	GITTOOL	Loads repository URLs from a YAML workspace file using Pydantic models.
repository_manager_maintain_projects	GITTOOL	Execute the phased bumpversion workflow: pre-commits + phased bumping.
repository_manager_phased_bumpversion	GITTOOL	Execute the phased bumpversion workflow: pre-commits + phased bumping.
repository_manager_phased_push	GITTOOL	Execute the phased git push workflow.
repository_manager_pre_commit	GITTOOL	Execute pre-commit commands in the specified path.
repository_manager_pre_commit_projects	GITTOOL	Execute pre-commit commands for all projects in parallel.
repository_manager_pull_project	GITTOOL	Pull updates for a single Git project and optionally checkout the default branch.
repository_manager_pull_projects	GITTOOL	Pull updates for multiple projects in parallel.
repository_manager_push_project	GITTOOL	Push updates and tags for a single Git project, ensuring all staged and unstaged changes are committed first.
repository_manager_push_projects	GITTOOL	Push updates for multiple projects in parallel.
repository_manager_save_workspace_config	GITTOOL	Saves the current or provided WorkspaceConfig to a YAML file.
repository_manager_set_threads	GITTOOL	Set the number of threads for parallel processing.
repository_manager_setup_from_yaml	GITTOOL	Sets up the workspace structure from a YAML file.
repository_manager_test_projects	GITTOOL	Execute pytests for the specified projects in parallel.
repository_manager_update_dependency	GITTOOL	Update a package's pinned version in a deps file (pyproject OR requirements).
repository_manager_validate_and_release	GITTOOL	Validate projects in parallel, optionally triggering a release if successful.
repository_manager_validate_single_project	GITTOOL	Validates a single repository by running the scanner logic.
repository_manager_worktree_hygiene	GITTOOL	Audit (and optionally prune) session worktrees as a release-flow step.

4 action-routed tool(s) (default) · 42 verbose 1:1 tool(s). Each is enabled unless its <DOMAIN>TOOL toggle is set false; MCP_TOOL_MODE selects the surface (condensed default · verbose 1:1 · both). Auto-generated — do not edit.

Detailed tool schemas, parameter shapes, and validation constraints are preserved in docs/mcp.md.

Dynamic Tool Selection & Visibility

This MCP server supports dynamic toolset selection and visibility filtering at runtime. This allows you to restrict the set of exposed tools in order to prevent blowing up the LLM's context window.

You can configure tool filtering via multiple input channels:

• CLI Arguments: Pass --tools or --toolsets (or their disabled counterparts --disabled-tools and --disabled-toolsets) during startup.
• Environment Variables: Define standard environment variables:
  • MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS
  • MCP_ENABLED_TAGS / MCP_DISABLED_TAGS
• HTTP SSE Request Headers: Pass custom headers during transport initialization:
  • x-mcp-enabled-tools / x-mcp-disabled-tools
  • x-mcp-enabled-tags / x-mcp-disabled-tags
• HTTP SSE Request Query Parameters: Append query parameters directly to your transport connection URL:
  • ?tools=tool1,tool2
  • ?tags=tag1

When query strings or parameters are supplied, an LLM-free Knowledge Graph resolution layer (using DynamicToolOrchestrator) matches query intents against known tool tags, names, or descriptions, with safe fallback and automated 24-hour background cache refreshing.

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MCP Configuration Examples

Install the slim [mcp] extra. All examples install repository-manager[mcp] — the MCP-server extra that pulls only the FastMCP / FastAPI tooling (agent-utilities[mcp]). It deliberately excludes the heavy agent runtime (pydantic-ai, the epistemic-graph engine, dspy, llama-index), so uvx / container installs are far smaller. Use the full [agent] extra only when you need the integrated Pydantic AI agent.

stdio Transport (local IDEs — Cursor, Claude Desktop, VS Code)

{
  "mcpServers": {
    "repository-manager-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "repository-manager[mcp]",
        "repository-manager-mcp"
      ],
      "env": {
        "MCP_TOOL_MODE": "condensed",
        "GH_TOKEN": "your_github_token_here",
        "GITHUB_TOKEN": "your_github_token_here",
        "GITLAB_HOST": "https://gitlab.com",
        "GITLAB_PRIVATE_TOKEN": "your_gitlab_token_here",
        "GITLAB_TOKEN": "your_gitlab_token_here",
        "GITLAB_URL": "https://gitlab.com",
        "GIT_OPERATIONSTOOL": "True",
        "MISCTOOL": "True",
        "PROJECT_MANAGEMENTTOOL": "True",
        "REPOSITORY_MANAGER_DEFAULT_BRANCH": "main",
        "REPOSITORY_MANAGER_THREADS": "12",
        "REPOSITORY_MANAGER_WORKSPACE": "/home/apps/workspace",
        "REPOSITORY_MANAGER_WORKTREE_ROOT": "/home/apps/worktrees",
        "RM_GATE_BEFORE_PUSH": "true",
        "RM_JOB_STALE_SECONDS": "1800",
        "RM_MAX_WORKERS": "8",
        "WORKSPACE_MANAGEMENTTOOL": "True",
        "WORKSPACE_PATH": "/home/apps/workspace",
        "WORKSPACE_REPORTS": "/home/apps/workspace/reports",
        "WORKSPACE_YML": "workspace.yml"
      }
    }
  }
}

Streamable-HTTP Transport (networked / production)

{
  "mcpServers": {
    "repository-manager-mcp": {
      "command": "uvx",
      "args": [
        "--from",
        "repository-manager[mcp]",
        "repository-manager-mcp",
        "--transport",
        "streamable-http",
        "--port",
        "8000"
      ],
      "env": {
        "TRANSPORT": "streamable-http",
        "HOST": "0.0.0.0",
        "PORT": "8000",
        "MCP_TOOL_MODE": "condensed",
        "GH_TOKEN": "your_github_token_here",
        "GITHUB_TOKEN": "your_github_token_here",
        "GITLAB_HOST": "https://gitlab.com",
        "GITLAB_PRIVATE_TOKEN": "your_gitlab_token_here",
        "GITLAB_TOKEN": "your_gitlab_token_here",
        "GITLAB_URL": "https://gitlab.com",
        "GIT_OPERATIONSTOOL": "True",
        "MISCTOOL": "True",
        "PROJECT_MANAGEMENTTOOL": "True",
        "REPOSITORY_MANAGER_DEFAULT_BRANCH": "main",
        "REPOSITORY_MANAGER_THREADS": "12",
        "REPOSITORY_MANAGER_WORKSPACE": "/home/apps/workspace",
        "REPOSITORY_MANAGER_WORKTREE_ROOT": "/home/apps/worktrees",
        "RM_GATE_BEFORE_PUSH": "true",
        "RM_JOB_STALE_SECONDS": "1800",
        "RM_MAX_WORKERS": "8",
        "WORKSPACE_MANAGEMENTTOOL": "True",
        "WORKSPACE_PATH": "/home/apps/workspace",
        "WORKSPACE_REPORTS": "/home/apps/workspace/reports",
        "WORKSPACE_YML": "workspace.yml"
      }
    }
  }
}

Alternatively, connect to a pre-deployed Streamable-HTTP instance by url:

{
  "mcpServers": {
    "repository-manager-mcp": {
      "url": "http://localhost:8000/repository-manager-mcp/mcp"
    }
  }
}

Deploying the Streamable-HTTP server via Docker:

docker run -d \
  --name repository-manager-mcp-mcp \
  -p 8000:8000 \
  -e TRANSPORT=streamable-http \
  -e HOST=0.0.0.0 \
  -e PORT=8000 \
  -e MCP_TOOL_MODE=condensed \
  -e GH_TOKEN=your_github_token_here \
  -e GITHUB_TOKEN=your_github_token_here \
  -e GITLAB_HOST=https://gitlab.com \
  -e GITLAB_PRIVATE_TOKEN=your_gitlab_token_here \
  -e GITLAB_TOKEN=your_gitlab_token_here \
  -e GITLAB_URL=https://gitlab.com \
  -e GIT_OPERATIONSTOOL=True \
  -e MISCTOOL=True \
  -e PROJECT_MANAGEMENTTOOL=True \
  -e REPOSITORY_MANAGER_DEFAULT_BRANCH=main \
  -e REPOSITORY_MANAGER_THREADS=12 \
  -e REPOSITORY_MANAGER_WORKSPACE=/home/apps/workspace \
  -e REPOSITORY_MANAGER_WORKTREE_ROOT=/home/apps/worktrees \
  -e RM_GATE_BEFORE_PUSH=true \
  -e RM_JOB_STALE_SECONDS=1800 \
  -e RM_MAX_WORKERS=8 \
  -e WORKSPACE_MANAGEMENTTOOL=True \
  -e WORKSPACE_PATH=/home/apps/workspace \
  -e WORKSPACE_REPORTS=/home/apps/workspace/reports \
  -e WORKSPACE_YML=workspace.yml \
  knucklessg1/repository-manager:mcp

Auto-generated from the code-read env surface (MCP_TOOL_MODE + package vars) — do not edit.

Additional Deployment Options

repository-manager can also run as a local container (Docker / Podman / uv) or be consumed from a remote deployment. The Deployment guide has full, copy-paste mcp_config.json for all four transports — stdio, streamable-http, local container / uv, and remote URL:

• Local container / uv — launch the server from mcp_config.json via uvx, docker run, or podman run, or point at a local streamable-http container by url.
• Remote URL — connect to a server deployed behind Caddy at http://repository-manager-mcp.arpa/mcp using the "url" key.

Agent

This repository features a fully integrated Pydantic AI Graph Agent. It communicates over the Agent Control Protocol (ACP) and interacts seamlessly with the Agent Web UI (AG-UI) and Terminal interface.

Running the Agent CLI

To start the interactive command-line agent:

# Set workspace + git operation settings
export REPOSITORY_MANAGER_WORKSPACE="your_value"
export WORKSPACE_YML="workspace.yml"
export REPOSITORY_MANAGER_DEFAULT_BRANCH="main"
export REPOSITORY_MANAGER_THREADS="12"
# Optional VCS provider credentials
export GITLAB_TOKEN="your_gitlab_token"
export GITHUB_TOKEN="your_github_token"

# Run the agent server
repository-manager-agent --provider openai --model-id gpt-4o

Docker Compose Orchestration

The following docker/agent.compose.yml configures the Agent, Web UI, and Terminal Interface together:

version: '3.8'

services:
  repository-manager-mcp:
    image: knucklessg1/repository-manager:mcp
    container_name: repository-manager-mcp
    hostname: repository-manager-mcp
    restart: always
    env_file:
      - ../.env
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=8000
      - TRANSPORT=streamable-http
    ports:
      - "8000:8000"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:8000/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"

  repository-manager-agent:
    image: knucklessg1/repository-manager:latest
    container_name: repository-manager-agent
    hostname: repository-manager-agent
    restart: always
    depends_on:
      - repository-manager-mcp
    env_file:
      - ../.env
    command: [ "repository-manager-agent" ]
    environment:
      - PYTHONUNBUFFERED=1
      - HOST=0.0.0.0
      - PORT=9047
      - MCP_URL=http://repository-manager-mcp:8000/mcp
      - PROVIDER=${PROVIDER:-openai}
      - MODEL_ID=${MODEL_ID:-gpt-4o}
      - ENABLE_WEB_UI=True
      - ENABLE_OTEL=True
    ports:
      - "9047:9047"
    healthcheck:
      test: ["CMD", "python3", "-c", "import urllib.request; urllib.request.urlopen('http://localhost:9047/health')"]
      interval: 30s
      timeout: 10s
      retries: 3
      start_period: 10s
    logging:
      driver: json-file
      options:
        max-size: "10m"
        max-file: "3"

Detailed graph node architecture explanations, custom skill configurations, and agentic trace guides are available in docs/agent.md.

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Environment Variables

Package environment variables

Variable	Example	Description
HOST	0.0.0.0
PORT	8000
TRANSPORT	stdio	options: stdio, streamable-http, sse
ENABLE_OTEL	True
OTEL_EXPORTER_OTLP_ENDPOINT	http://localhost:8080/api/public/otel
OTEL_EXPORTER_OTLP_PUBLIC_KEY	pk-...
OTEL_EXPORTER_OTLP_SECRET_KEY	sk-...
OTEL_EXPORTER_OTLP_PROTOCOL	http/protobuf
EUNOMIA_TYPE	none	options: none, embedded, remote
EUNOMIA_POLICY_FILE	mcp_policies.json
EUNOMIA_REMOTE_URL	http://eunomia-server:8000
REPOSITORY_MANAGER_WORKSPACE	/home/apps/workspace	root of the git workspace to manage
WORKSPACE_PATH	/home/apps/workspace	fallback workspace root when REPOSITORY_MANAGER_WORKSPACE is unset
WORKSPACE_YML	workspace.yml	workspace manifest filename (resolved under the workspace root)
WORKSPACE_REPORTS	/home/apps/workspace/reports	directory where generated reports are written
REPOSITORY_MANAGER_WORKTREE_ROOT	/home/apps/worktrees	root directory for managed git worktrees
REPOSITORY_MANAGER_DEFAULT_BRANCH	main	default branch name for git operations
REPOSITORY_MANAGER_THREADS	12	parallel threads for git operations
RM_MAX_WORKERS	8	explicit worker-count override (skips auto-sizing from CPU count)
RM_JOB_STALE_SECONDS	1800	seconds before an in-flight job is treated as stale by the watchdog
RM_GATE_BEFORE_PUSH	true	run the pre-commit gate before pushing (set false to bypass)
GITLAB_URL	https://gitlab.com	GitLab base URL (alias: GITLAB_HOST)
GITLAB_HOST	https://gitlab.com	legacy alias for GITLAB_URL
GITLAB_TOKEN	your_gitlab_token_here	GitLab access token (alias: GITLAB_PRIVATE_TOKEN)
GITLAB_PRIVATE_TOKEN	your_gitlab_token_here	legacy alias for GITLAB_TOKEN
GITHUB_TOKEN	your_github_token_here	GitHub access token (alias: GH_TOKEN)
GH_TOKEN	your_github_token_here	legacy alias for GITHUB_TOKEN
GIT_OPERATIONSTOOL	True	MCP tools table (condensed action-routed surface).
PROJECT_MANAGEMENTTOOL	True
WORKSPACE_MANAGEMENTTOOL	True
MISCTOOL	True
AUTH_TYPE	bearer	authentication type (e.g. bearer, none)
LLM_API_KEY	your_llm_api_key_here
LLM_BASE_URL	https://api.openai.com/v1
MCP_URL	http://localhost:8000

Inherited agent-utilities variables (apply to every connector)

Variable	Example	Description
MCP_TOOL_MODE	condensed	Tool surface: condensed
MCP_ENABLED_TOOLS	—	Comma-separated tool allow-list
MCP_DISABLED_TOOLS	—	Comma-separated tool deny-list
MCP_ENABLED_TAGS	—	Comma-separated tag allow-list
MCP_DISABLED_TAGS	—	Comma-separated tag deny-list
MCP_CLIENT_AUTH	—	Outbound MCP auth (oidc-client-credentials for fleet calls)
OIDC_CLIENT_ID	—	OIDC client id (service-account auth)
OIDC_CLIENT_SECRET	—	OIDC client secret (service-account auth)
DEBUG	False	Verbose logging
PYTHONUNBUFFERED	1	Unbuffered stdout (recommended in containers)
PROVIDER	openai	LLM provider for the agent
MODEL_ID	gpt-4o	Model id for the agent
ENABLE_WEB_UI	True	Serve the AG-UI web interface

35 package + 13 inherited variable(s). Auto-generated from .env.example + the shared agent-utilities set — do not edit.

Every variable the server and agent read, sourced from .env.example.

MCP server / transport

Variable	Description	Default
TRANSPORT	stdio, streamable-http, or sse	stdio
HOST	Bind host (HTTP transports)	0.0.0.0
PORT	Bind port (HTTP transports)	8000
MCP_TOOL_MODE	Tool surface: condensed, verbose, or both	condensed
MCP_ENABLED_TOOLS / MCP_DISABLED_TOOLS	Comma-separated tool allow/deny list	—
MCP_ENABLED_TAGS / MCP_DISABLED_TAGS	Comma-separated tag allow/deny list	—
PYTHONUNBUFFERED	Unbuffered stdout (recommended in containers)	1

Workspace & repository management

Variable	Description	Default
REPOSITORY_MANAGER_WORKSPACE	Root directory of the git workspace to manage	/home/apps/workspace
WORKSPACE_PATH	Fallback workspace root when REPOSITORY_MANAGER_WORKSPACE is unset	/home/apps/workspace
WORKSPACE_YML	Workspace manifest filename (resolved under the workspace root)	workspace.yml
WORKSPACE_REPORTS	Directory where generated reports are written	—
REPOSITORY_MANAGER_WORKTREE_ROOT	Root directory for managed git worktrees	/home/apps/worktrees
REPOSITORY_MANAGER_DEFAULT_BRANCH	Default branch name for git operations	main
REPOSITORY_MANAGER_THREADS	Parallel threads for git operations	12

Operations & gating

Variable	Description	Default
RM_MAX_WORKERS	Explicit worker-count override (skips auto-sizing from CPU count)	—
RM_JOB_STALE_SECONDS	Seconds before an in-flight job is treated as stale by the watchdog	1800
RM_GATE_BEFORE_PUSH	Run the pre-commit gate before pushing (set false to bypass)	true

Version-control provider credentials

Variable	Description	Default
GITLAB_URL	GitLab base URL (alias: GITLAB_HOST)	—
GITLAB_TOKEN	GitLab access token (alias: GITLAB_PRIVATE_TOKEN)	—
GITHUB_TOKEN	GitHub access token (alias: GH_TOKEN)	—

Tool toggles

Each action-routed tool can be disabled individually via its toggle env var (set to false). The full list is in the Available MCP Tools table above.

Variable	Description	Default
GIT_OPERATIONSTOOL	Enable bulk Git operations (rm_git)	True
PROJECT_MANAGEMENTTOOL	Enable project + worktree management (rm_projects / rm_worktree)	True
WORKSPACE_MANAGEMENTTOOL	Enable workspace organization (rm_workspace)	True

Telemetry & governance

Variable	Description	Default
ENABLE_OTEL	Enable OpenTelemetry export	True
OTEL_EXPORTER_OTLP_ENDPOINT	OTLP collector endpoint	—
OTEL_EXPORTER_OTLP_PUBLIC_KEY / OTEL_EXPORTER_OTLP_SECRET_KEY	OTLP auth keys	—
OTEL_EXPORTER_OTLP_PROTOCOL	OTLP protocol (e.g. http/protobuf)	—
EUNOMIA_TYPE	Authorization mode: none, embedded, remote	none
EUNOMIA_POLICY_FILE	Embedded policy file	mcp_policies.json
EUNOMIA_REMOTE_URL	Remote Eunomia server URL	—

Agent CLI (full [agent] runtime only)

Variable	Description	Default
MCP_URL	URL of the MCP server the agent connects to	http://localhost:8000/mcp
PROVIDER	LLM provider (e.g. openai)	openai
MODEL_ID	Model id (e.g. gpt-4o)	gpt-4o
ENABLE_WEB_UI	Serve the AG-UI web interface	True

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Security & Governance

Built directly upon the enterprise-ready agent-utilities core, standard security parameters are fully supported:

Access Control & Policy Enforcement

• Eunomia Policies: Fine-grained, policy-driven tool authorization. Supports none, local embedded (mcp_policies.json), or centralized remote modes.
• OIDC Token Delegation: Compliant with RFC 8693 token exchange for flowing authenticating user credentials from Web UI / ACP → Agent → MCP.
• Scoped Credentials: Execution context runs restricted to the specific caller identity.

Runtime Security Grid

Feature	Functionality	Enablement
Tool Guard	Sensitivity inspection with human-in-the-loop validation	Enabled by default
Prompt Injection Defense	Input scanning, repetition monitoring, and recursive loop blocks	Enabled by default
Context Safety Guard	Stuck-loop detectors and contextual overflow preemptive alerts	Enabled by default

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Installation

Pick the extra that matches what you want to run:

Extra	Installs	Use when
repository-manager[mcp]	Slim MCP server only (agent-utilities[mcp] — FastMCP/FastAPI)	You only run the MCP server (smallest install / image)
repository-manager[agent]	Full agent runtime (agent-utilities[agent,logfire] — Pydantic AI + the epistemic-graph engine, plus pre-commit / bump2version)	You run the integrated agent
repository-manager[all]	Everything (mcp + agent + logfire)	Development / both surfaces

# MCP server only (recommended for tool hosting — slim deps)
uv pip install "repository-manager[mcp]"

# Full agent runtime (Pydantic AI + epistemic-graph engine)
uv pip install "repository-manager[agent]"

# Everything (development)
uv pip install "repository-manager[all]"      # or: python -m pip install "repository-manager[all]"

Container images (:mcp vs :agent)

One multi-stage docker/Dockerfile builds two right-sized images, selected by --target:

Image tag	Build target	Contents	Entrypoint
knucklessg1/repository-manager:mcp	--target mcp	repository-manager[mcp] — slim, no engine/pydantic-ai/dspy/llama-index/tree-sitter	repository-manager-mcp
knucklessg1/repository-manager:latest	--target agent (default)	repository-manager[agent] — full agent runtime + epistemic-graph engine	repository-manager-agent

docker build --target mcp   -t knucklessg1/repository-manager:mcp    docker/   # slim MCP server
docker build --target agent -t knucklessg1/repository-manager:latest docker/   # full agent

docker/mcp.compose.yml runs the slim :mcp server; docker/agent.compose.yml runs the agent (:latest) with a co-located :mcp sidecar.

Knowledge-graph database (epistemic-graph)

The full agent ([agent] / :latest) embeds the epistemic-graph engine (pulled in transitively via agent-utilities[agent]). For production — or to share one knowledge graph across multiple agents — run epistemic-graph as its own database container and point the agent at it instead of embedding it. Deployment recipes (single-node + Raft HA), connection config, and the full database architecture (with diagrams) are documented in the epistemic-graph deployment guide. The slim [mcp] server does not require the database.

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Repository Owners

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Documentation

The complete documentation is published as the official documentation site and is the recommended reference for installation, deployment, and day-to-day operation.

Page	Contents
Installation	pip, source, extras, prebuilt Docker image
Deployment	run the MCP and agent servers, Compose, Caddy + Technitium, env config
Usage	the MCP tools, the Git client, the CLI
Overview	ecosystem role, enterprise readiness, architecture
Phased Maintenance	dependency-ordered workspace updates
Phased Push	parallel, phase-gated multi-repository releases
Concepts	concept registry (CONCEPT:RM-*)

AGENTS.md is the canonical contributor/agent guidance.

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Contribute

Contributions are welcome! Please ensure code quality by executing local checks before submitting pull requests:

• Format code using ruff format .
• Lint code using ruff check .
• Validate type-safety with mypy .
• Execute test suites using pytest

Deploy with agent-os-genesis

This package can be provisioned for you — skill-guided — by the agent-os-genesis universal skill (its single-package deploy mode): it picks your install method, seeds secrets to OpenBao/Vault (or .env), trusts your enterprise CA, registers the MCP server, and verifies it — the same machinery that stands up the whole Agent OS, narrowed to just this package. Ask your agent to "deploy repository-manager with agent-os-genesis".

Install mode	Command
Bare-metal, prod (PyPI)	uvx repository-manager-mcp · or uv tool install repository-manager
Bare-metal, dev (editable)	uv pip install -e ".[all]" · or pip install -e ".[all]"
Container, prod	deploy knucklessg1/repository-manager:latest via docker-compose / swarm / podman / podman-compose / kubernetes
Container, dev (editable)	deploy docker/compose.dev.yml (source-mounted at /src; edits live on restart)

Secrets are read-existing + seeded via vault_sync — you are only prompted for what's missing.