Mister Morph
Unified Agent CLI + reusable Go agent core.
Other languages: 简体中文 | 日本語
Table of contents
Why Mister Morph
What makes this project worth looking at:
- 🧩 Reusable Go core: Run the agent as a CLI, or embed it as a library/subprocess in other apps.
- 🔒 Serious secure defaults: Profile-based credential injection, Guard redaction, outbound policy controls, and async approvals with audit trails (see docs/security.md).
- 🧰 Practical Skills system: Discover + inject
SKILL.md from file_state_dir/skills, with simple on/off control (see docs/skills.md).
- 📚 Beginner-friendly: Built as a learning-first agent project, with detailed design docs in
docs/ and practical debugging tools like --inspect-prompt and --inspect-request.
Quickstart
Step 1: Install
Option A: download a prebuilt binary from GitHub Releases (recommended for production use):
curl -fsSL -o /tmp/install-mistermorph.sh https://raw.githubusercontent.com/quailyquaily/mistermorph/refs/heads/master/scripts/install-release.sh
sudo bash /tmp/install-mistermorph.sh
The installer supports:
bash install-release.sh <version-tag>
INSTALL_DIR=$HOME/.local/bin bash install-release.sh <version-tag>
Option B: install from source with Go:
go install github.com/quailyquaily/mistermorph@latest
Step 2: Install the Agent requirements and built-in skills
mistermorph install
# or
mistermorph install <dir>
The install command installs required files and built-in skills under ~/.morph/skills/ (or a specified directory via <dir>).
When config.yaml does not already exist in the install target, install first tries to find a readable config in this order:
--config path
<dir>/config.yaml
~/.morph/config.yaml
If none is found, install runs an interactive setup wizard (TTY only) before writing config.yaml:
- select LLM provider (
openai|gemini|cloudflare)
- fill provider-specific required fields (
api_key for openai/gemini; account_id + api_token for cloudflare)
- set model
- set Telegram
bot_token + group_trigger_mode
- optionally set Slack
bot_token + app_token + group_trigger_mode
Use mistermorph install --yes to skip interactive prompts.
Step 3: Setup an API key
You can run without a config.yaml by using environment variables:
export MISTER_MORPH_LLM_API_KEY="YOUR_OPENAI_API_KEY_HERE"
# Optional explicit defaults:
export MISTER_MORPH_LLM_PROVIDER="openai"
export MISTER_MORPH_LLM_MODEL="gpt-5.2"
Mister Morph also supports Azure OpenAI, Anthropic Claude, AWS Bedrock, and others (see assets/config/config.example.yaml for more options). If you prefer file-based config, use ~/.morph/config.yaml.
Step 4: One-time Run
mistermorph run --task "Hello!"
Supported Models
Model support may vary by specific model ID, provider endpoint capability, and tool-calling behavior.
| Model family |
Model range |
Status |
| GPT |
gpt-5* |
✅ Full |
| GPT-OSS |
gpt-oss-120b |
✅ Full |
| Grok |
grok-4+ |
✅ Full |
| Claude |
claude-3.5+ |
✅ Full |
| DeepSeek |
deepseek-3* |
✅ Full |
| Gemini |
gemini-2.5+ |
✅ Full |
| Kimi |
kimi-2.5+ |
✅ Full |
| MiniMax |
minimax* / minimax-m2.5+ |
✅ Full |
| GLM |
glm-4.6+ |
✅ Full |
| Cloudflare Workers AI |
Workers AI model IDs |
⚠️ Limited (no tool calling) |
Telegram bot mode
Run a Telegram bot (long polling) so you can chat with the agent from Telegram:
Edit the config file ~/.morph/config.yaml and set your Telegram bot token:
telegram:
bot_token: "YOUR_TELEGRAM_BOT_TOKEN_HERE"
allowed_chat_ids: [] # add allowed chat ids here
mistermorph telegram --log-level info
Notes:
- Use
/id to get the current chat id and add it to allowed_chat_ids for allowlisting.
- Use
/ask <task> in groups.
- In groups, the bot also responds when you reply to it, or mention
@BotUsername.
- You can send a file; it will be downloaded under
file_cache_dir/telegram/ and the agent can process it. The agent can also send cached files back via telegram_send_file, and send voice messages via telegram_send_voice from local voice files in file_cache_dir.
- The last loaded skill(s) stay “sticky” per chat (so follow-up messages won’t forget SKILL.md);
/reset clears this.
telegram.group_trigger_mode=smart runs addressing LLM on every group message; acceptance requires addressed=true, confidence >= telegram.addressing_confidence_threshold, and interject > telegram.addressing_interject_threshold.
telegram.group_trigger_mode=talkative also runs addressing LLM on every group message, but does not require addressed=true (it still uses the same confidence/interject thresholds).
- Use
/reset in chat to clear conversation history.
- By default it runs multiple chats concurrently, but processes each chat serially (config:
telegram.max_concurrency).
Slack bot mode
Run a Slack bot with Socket Mode so you can chat with the agent in Slack:
Edit the config file ~/.morph/config.yaml and set your Slack tokens:
slack:
bot_token: "YOUR_SLACK_BOT_TOKEN_HERE" # xoxb-...
app_token: "YOUR_SLACK_APP_TOKEN_HERE" # xapp-...
allowed_team_ids: [] # optional allowlist
allowed_channel_ids: [] # optional allowlist
mistermorph slack --log-level info
Notes:
- Requires both
xoxb bot token and xapp app token.
- Group trigger and addressing controls mirror Telegram style (
strict|smart|talkative + confidence/interject thresholds).
- By default it runs multiple conversations concurrently, but processes each
team_id:channel_id conversation serially (slack.max_concurrency controls global concurrency).
- See
docs/slack.md for setup and thread behavior details.
- See
docs/bus.md for bus routing and ordering semantics.
Daemon mode
Run a local HTTP daemon that accepts tasks sequentially (one-by-one), so you don’t need to restart the process for each task.
Start the daemon:
export MISTER_MORPH_SERVER_AUTH_TOKEN="change-me"
mistermorph serve --server-listen 127.0.0.1:8787 --log-level info
Submit a task:
mistermorph submit --server-url http://127.0.0.1:8787 --auth-token "$MISTER_MORPH_SERVER_AUTH_TOKEN" --wait \
--task "Summarize this repo and write to ./summary.md"
Console mode
Run a local Console web UI for runtime inspection and file management.
Console currently includes:
- task list + task detail
- TODO files editor (
TODO.md, TODO.DONE.md)
- contacts files editor (
ACTIVE.md, INACTIVE.md)
- persona files editor (
IDENTITY.md, SOUL.md)
- system diagnostics/config view
Build frontend:
cd web/console
pnpm install
pnpm build
Start daemon (task API source):
MISTER_MORPH_SERVER_AUTH_TOKEN=dev-token \
mistermorph serve --server-auth-token dev-token
Start Console backend + static hosting:
MISTER_MORPH_ENDPOINT_MAIN_TOKEN=dev-token \
MISTER_MORPH_CONSOLE_PASSWORD=secret \
mistermorph console serve --console-static-dir ./web/console/dist
config.yaml example:
console:
endpoints:
- name: "Main"
url: "http://127.0.0.1:8787"
auth_token_env_ref: "MISTER_MORPH_ENDPOINT_MAIN_TOKEN"
Open:
http://127.0.0.1:9080/console
More details: web/console/README.md.
Embedding to other projects
Two common integration options:
- As a Go library: see
demo/embed-go/.
- As a subprocess CLI: see
demo/embed-cli/.
For Go-library embedding with built-in wiring, use integration:
cfg := integration.DefaultConfig()
cfg.BuiltinToolNames = []string{"read_file", "url_fetch", "todo_update"} // optional; empty = all built-ins
cfg.Inspect.Prompt = true // optional
cfg.Inspect.Request = true // optional
cfg.Set("llm.api_key", os.Getenv("OPENAI_API_KEY"))
rt := integration.New(cfg)
reg := rt.NewRegistry() // built-in tools wiring
prepared, err := rt.NewRunEngineWithRegistry(ctx, task, reg)
if err != nil { /* ... */ }
defer prepared.Cleanup()
final, runCtx, err := prepared.Engine.Run(ctx, task, agent.RunOptions{Model: prepared.Model})
_ = final
_ = runCtx
Core tools available to the agent:
read_file: read local text files.
write_file: write local text files under file_cache_dir or file_state_dir.
bash: run a shell command (disabled by default).
url_fetch: HTTP fetch with optional auth profiles.
web_search: web search (DuckDuckGo HTML).
plan_create: generate a structured plan.
Tools only available in Telegram mode:
telegram_send_file: send a file in Telegram.
telegram_send_voice: send a voice message in Telegram.
telegram_react: add an emoji reaction in Telegram.
Please see docs/tools.md for detailed tool documentation.
Skills
mistermorph discovers skills under file_state_dir/skills (recursively), and injects selected SKILL.md content into the system prompt.
By default, run uses skills.mode=on, which loads skills from skills.load and optional $SkillName references (skills.auto=true).
Docs: docs/skills.md.
# list available skills
mistermorph skills list
# Use a specific skill in the run command
mistermorph run --task "..." --skills-mode on --skill skill-name
# install remote skills
mistermorph skills install <remote-skill-url>
Security Mechanisms for Skills
- Install audit: When installing remote skills, Mister Morph will preview the skill content and do a basic security audit (e.g., look for dangerous commands in scripts) before asking for user confirmation.
- Auth profiles: Skills can declare required auth profiles in the
auth_profiles field. The agent will only use skills whose auth profiles are configured on the host, preventing accidental secret leaks (see assets/skills/moltbook and the secrets / auth_profiles sections in the config file).
Security
Recommended systemd hardening and secret handling: docs/security.md.
Troubleshoots
Known issues and workarounds: docs/troubleshoots.md.
Debug
Logging
There is an argument --log-level set for logging level and format:
mistermorph run --log-level debug --task "..."
Dump internal debug data
There are 2 arguments --inspect-prompt/--inspect-request for dumping internal state for debugging:
mistermorph run --inspect-prompt --inspect-request --task "..."
These arguments will dump the final system/user/tool prompts and the full LLM request/response JSON as plain text files to ./dump directory.
Configuration
mistermorph uses Viper, so you can configure it via flags, env vars, or a config file.
- Config file:
--config /path/to/config.yaml (supports .yaml/.yml/.json/.toml/.ini)
- Env var prefix:
MISTER_MORPH_
- Nested keys: replace
. and - with _ (e.g. tools.bash.enabled → MISTER_MORPH_TOOLS_BASH_ENABLED=true)
CLI flags
Global (all commands)
--config
--log-level
--log-format
--log-add-source
--log-include-thoughts
--log-include-tool-params
--log-include-skill-contents
--log-max-thought-chars
--log-max-json-bytes
--log-max-string-value-chars
--log-max-skill-content-chars
--log-redact-key (repeatable)
run
--task
--provider
--endpoint
--model
--api-key
--llm-request-timeout
--interactive
--skills-dir (repeatable)
--skill (repeatable)
--skills-auto
--skills-mode (off|on)
--max-steps
--parse-retries
--max-token-budget
--timeout
--inspect-prompt
--inspect-request
serve
--server-listen
--server-auth-token
--server-max-queue
submit
--task
--server-url
--auth-token
--model
--submit-timeout
--wait
--poll-interval
console serve
--console-listen
--console-base-path
--console-static-dir
--console-session-ttl
telegram
--telegram-bot-token
--telegram-allowed-chat-id (repeatable)
--telegram-group-trigger-mode (strict|smart|talkative)
--telegram-addressing-confidence-threshold
--telegram-addressing-interject-threshold
--telegram-poll-timeout
--telegram-task-timeout
--telegram-max-concurrency
slack
--slack-bot-token
--slack-app-token
--slack-allowed-team-id (repeatable)
--slack-allowed-channel-id (repeatable)
--slack-group-trigger-mode (strict|smart|talkative)
--slack-addressing-confidence-threshold
--slack-addressing-interject-threshold
--slack-task-timeout
--slack-max-concurrency
skills
skills list --skills-dir (repeatable)
skills install --dest --dry-run --clean --skip-existing --timeout --max-bytes --yes
install
Environment variables
Common env vars (these map to config keys):
MISTER_MORPH_CONFIG
MISTER_MORPH_LLM_PROVIDER
MISTER_MORPH_LLM_ENDPOINT
MISTER_MORPH_LLM_MODEL
MISTER_MORPH_LLM_API_KEY
MISTER_MORPH_LLM_REQUEST_TIMEOUT
MISTER_MORPH_LOGGING_LEVEL
MISTER_MORPH_LOGGING_FORMAT
MISTER_MORPH_SERVER_AUTH_TOKEN
MISTER_MORPH_CONSOLE_PASSWORD
MISTER_MORPH_CONSOLE_PASSWORD_HASH
MISTER_MORPH_TELEGRAM_BOT_TOKEN
MISTER_MORPH_SLACK_BOT_TOKEN
MISTER_MORPH_SLACK_APP_TOKEN
MISTER_MORPH_FILE_CACHE_DIR
Provider-specific settings use the same mapping, for example:
llm.azure.deployment → MISTER_MORPH_LLM_AZURE_DEPLOYMENT
llm.bedrock.model_arn → MISTER_MORPH_LLM_BEDROCK_MODEL_ARN
Tool toggles and limits also map to env vars, for example:
MISTER_MORPH_TOOLS_BASH_ENABLED
MISTER_MORPH_TOOLS_URL_FETCH_ENABLED
MISTER_MORPH_TOOLS_URL_FETCH_MAX_BYTES
Secret values referenced by auth_profiles.*.credential.secret_ref are regular env vars too (example: JSONBILL_API_KEY).
Key meanings (see assets/config/config.example.yaml for the canonical list):
- Core:
llm.provider selects the backend. Most providers use llm.endpoint/llm.api_key/llm.model. Azure uses llm.azure.deployment for deployment name, while endpoint/key are still read from llm.endpoint and llm.api_key. Bedrock uses llm.bedrock.*. llm.tools_emulation_mode controls tool-call emulation for models without native tool calling (off|fallback|force).
- Logging:
logging.level (info shows progress; debug adds thoughts), logging.format (text|json), plus logging.include_thoughts and logging.include_tool_params (redacted).
- Loop:
max_steps limits tool-call rounds; parse_retries retries invalid JSON; max_token_budget is a cumulative token cap (0 disables); timeout is the overall run timeout.
- Skills:
skills.mode controls whether skills are used (off|on; legacy explicit/smart map to on); file_state_dir + skills.dir_name define the default skills root; skills.load always loads specific skills; skills.auto additionally loads $SkillName references.
- Tools: all tool toggles live under
tools.* (e.g. tools.bash.enabled, tools.url_fetch.enabled) with per-tool limits and timeouts.