Adds optional FIRECRAWL_API_URL environment variable to support
self-hosted Firecrawl deployments alongside the cloud service.
- Add FIRECRAWL_API_URL to optional env vars in hermes_cli/config.py
- Update _get_firecrawl_client() in tools/web_tools.py to accept custom API URL
- Add tests for client initialization with/without URL
- Document new env var in installation and config guides
On Windows, open() defaults to the system locale encoding (cp1252,
cp1254, etc.) rather than UTF-8. This breaks any file containing
non-ASCII characters, and also causes crashes when writing JSON with
ensure_ascii=False.
This adds encoding="utf-8" to open() calls in:
- gateway/run.py (config.yaml reads/writes throughout)
- gateway/config.py (gateway.json and config.yaml)
- hermes_cli/config.py (config.yaml load/save)
- hermes_cli/main.py (session export with ensure_ascii=False)
- hermes_cli/status.py (jobs.json and sessions.json)
fcntl is not available on Windows. This adds msvcrt.locking as a
fallback for cross-process advisory locking on Windows.
msvcrt.locking is not reentrant within the same thread, unlike fcntl.flock.
This matters because resolve_codex_runtime_credentials holds the lock and
then calls _save_codex_tokens, which tries to acquire it again. Without
reentrancy tracking, this deadlocks on Windows after a 15-second timeout.
Uses threading.local() to track lock depth per thread, allowing nested
acquisitions to pass through without re-acquiring the underlying lock.
Also handles msvcrt-specific requirements: file must be opened in r+ mode
(not a+), must have at least 1 byte of content, and the file pointer must
be at position 0 before locking.
Add Daytona as a backend choice in the interactive setup wizard with
SDK installation and API key prompts. Show Daytona image in status
output and validate API key + SDK in doctor checks. Add OPTION 6
example in cli-config.yaml.example.
Signed-off-by: rovle <lovre.pesut@gmail.com>
Authored by jdblackstar. Catches runtime exceptions from TerminalMenu
init (e.g. CalledProcessError from tput with unknown TERM like
xterm-ghostty over SSH) and falls through to the text-based menu.
When base_url points to a non-OpenRouter endpoint (e.g. Z.ai),
OPENROUTER_API_KEY incorrectly takes priority over OPENAI_API_KEY,
sending the wrong credentials. This causes 401 errors on the main
inference path and forces users to comment out OPENROUTER_API_KEY,
which then breaks auxiliary clients (compression, vision).
Fix: check whether base_url contains "openrouter" and swap the key
priority accordingly. Also adds GLM-4.7 and GLM-5 context lengths
to DEFAULT_CONTEXT_LENGTHS.
Fixes a bug where the refresh token was not persisted when the API key
mint failed (e.g., 402 insufficient credits, timeout). The rotated
refresh token was lost, causing subsequent auth attempts to fail with
a stale token.
Changes:
- Persist auth state immediately after each successful token refresh,
before attempting the mint
- Use latest in-memory refresh token on mint-retry paths (was using
the stale original)
- Atomic durable writes for auth.json (temp file + fsync + replace)
- Opt-in OAuth trace logging (HERMES_OAUTH_TRACE=1, fingerprint-only)
- 3 regression tests covering refresh+402, refresh+timeout, and
invalid-token retry behavior
Author: Robin Fernandes <rewbs>
Implemented checks to ensure that necessary binaries (Docker, Singularity, SSH) are installed for the selected backend in the setup wizard. If a required binary is missing, the user is prompted to proceed with a fallback to the local backend. This enhances user experience by preventing potential runtime errors due to missing dependencies.
Introduced interactive prompts for configuring container resource settings (CPU, memory, disk, persistence) during the setup wizard. Updated the default configuration to include these settings and improved user guidance on their implications for Docker, Singularity, and Modal backends. This enhancement aims to streamline the setup process and provide users with clearer options for resource management.
Enhanced the gateway setup process by including step-by-step setup instructions for Telegram, Discord, and Slack. Updated help prompts for environment variables to reference these new instructions, improving user guidance during the configuration of messaging platforms. This change aims to streamline the onboarding experience for users setting up their bots.
Enhanced the gateway setup process by introducing an allowlist feature for user IDs, improving security by denying access by default. Updated prompts to guide users in configuring allowed users for Telegram, Discord, and Slack platforms, and refined messaging for handling unauthorized users. This change aims to enhance user experience and security during the setup process.
Updated the setup wizard to improve clarity around gateway service installation and management. Added prompts for users to install and start the gateway as a system service on Linux and macOS, while refining messaging for home channel configuration. This enhances the overall user experience during the setup process.
Updated the gateway setup function to provide clearer messaging regarding the installation status of the gateway service. Added prompts for installing the service as a background process on supported platforms (Linux and macOS) and clarified next steps for users. Improved user experience by offering options to start the service immediately or run it in the foreground.
Modified the _platform_status function in gateway.py to return uncolored plain-text status strings for platforms, ensuring compatibility with simple_term_menu items. Additionally, removed emoji characters from the status display in the gateway setup menu for improved readability.
Updated the interactive setup in hermes CLI to remove emoji characters from menu choices. This change addresses visual issues caused by emoji miscalculations during terminal redraws, ensuring a cleaner and more readable interface for users.
Enhanced the hermes CLI gateway with a new 'setup' command to configure messaging platforms (Telegram, Discord, Slack, WhatsApp). This includes prompts for necessary environment variables and improved user experience for platform configuration. Updated documentation to reflect the new command.
Modified the setup wizard to ensure it only skips execution when no terminal is available, improving compatibility with piped installations. Additionally, updated environment variable checks to use bool() for accurate provider configuration detection, addressing potential issues with empty values in .env files.
Improvements to the HA integration merged from PR #184:
- Add ha_list_services tool: discovers available services (actions) per
domain with descriptions and parameter fields. Tells the model what
it can do with each device type (e.g. light.turn_on accepts brightness,
color_name, transition). Closes the gap where the model had to guess
available actions.
- Add HA to hermes tools config: users can enable/disable the homeassistant
toolset and configure HASS_TOKEN + HASS_URL through 'hermes tools' setup
flow instead of manually editing .env.
- Fix should-fix items from code review:
- Remove sys.path.insert hack from gateway adapter
- Replace all print() calls with proper logger (info/warning/error)
- Move env var reads from import-time to handler-time via _get_config()
- Add dedicated REST session reuse in gateway send()
- Update ha_call_service description to reference ha_list_services for
action discovery.
- Update tests for new ha_list_services tool in toolset resolution.
On Windows systems where git can't write files (antivirus, NTFS filter
drivers), 'hermes update' now falls back to downloading a ZIP archive
from GitHub and extracting it over the existing installation.
The fallback triggers in two cases:
1. No .git directory (ZIP-installed via install.ps1 fallback)
2. Git pull fails with CalledProcessError on Windows
The ZIP update preserves venv/, node_modules/, .git/, and .env,
reinstalls Python deps via uv, and syncs bundled skills.
Also adds -c windows.appendAtomically=false to all git commands in
the update path for systems where git works but atomic writes fail.
- Set 'git config windows.appendAtomically false' in hermes update
command (win32 only) and in install.ps1 after cloning. Fixes the
'fatal: unable to write loose object file: Invalid argument' error
on Windows filesystems.
- Fix venv pip fallback path: Scripts/pip on Windows vs bin/pip on Unix
- Gate .env encoding fix behind _IS_WINDOWS (no change to Linux/macOS)
On Windows, open() without explicit encoding uses the system locale
(cp1252/etc.), which can cause OSError errno 22 'Invalid argument'
when reading/writing the UTF-8 .env file.
Fix: gate encoding kwargs behind _IS_WINDOWS check so Linux/macOS
code paths are completely unchanged. Only Windows gets explicit
encoding='utf-8' on load_env() and save_env_value().
The is_existing check included 'get_config_path().exists()' which is
always True after installation (the installer copies config.yaml from
the template). This caused the wizard to enter quick mode, which
skips provider selection entirely — leaving hermes non-functional.
Fix: only consider it an existing installation when an actual
inference provider is configured (OPENROUTER_API_KEY, OPENAI_BASE_URL,
or an active OAuth provider). Fresh installs now correctly show the
full setup flow with provider selection.
- Add scripts/install.cmd batch wrapper for CMD users (delegates to install.ps1)
- Add _find_shell() in local.py: detects Git Bash on Windows via
HERMES_GIT_BASH_PATH env var, shutil.which, or common install paths
(same pattern as Claude Code's CLAUDE_CODE_GIT_BASH_PATH)
- Use _find_shell() in process_registry.py for background processes
- Fix hermes_cli/gateway.py: use wmic instead of ps aux on Windows,
skip SIGKILL (doesn't exist on Windows), fix venv path
(Scripts/python.exe vs bin/python)
- Update README with three install commands (Linux/macOS, PowerShell, CMD)
and Windows native documentation
Requires Git for Windows, which bundles bash.exe. The terminal tool
transparently uses Git Bash for shell commands regardless of whether
the user launched hermes from PowerShell or CMD.
Banner integration:
- MCP Servers section in CLI startup banner between Tools and Skills
- Shows each server with transport type, tool count, connection status
- Failed servers shown in red; section hidden when no MCP configured
- Summary line includes MCP server count
- Removed raw print() calls from discovery (banner handles display)
/reload-mcp command:
- New slash command in both CLI and gateway
- Disconnects all MCP servers, re-reads config.yaml, reconnects
- Reports what changed (added/removed/reconnected servers)
- Allows adding/removing MCP servers without restarting
Resources & Prompts support:
- 4 utility tools registered per server: list_resources, read_resource,
list_prompts, get_prompt
- Exposes MCP Resources (data sources) and Prompts (templates) as tools
- Proper parameter schemas (uri for read_resource, name for get_prompt)
- Handles text and binary resource content
- 23 new tests covering schemas, handlers, and registration
Test coverage: 74 MCP tests total, 1186 tests pass overall.
Updated the README and messaging documentation to clarify the two modes for WhatsApp integration: 'bot' mode (recommended) and 'self-chat' mode. Improved setup instructions to guide users through the configuration process, including allowlist management and dependency installation. Adjusted CLI commands to reflect these changes and ensure a smoother user experience. Additionally, modified the WhatsApp bridge to support the new mode functionality.
When both OPENROUTER_API_KEY and OPENAI_API_KEY are set (e.g. OPENAI_API_KEY
in .bashrc), the wrong key was sent to OpenRouter causing auth failures.
Fixed key resolution order in cli.py and runtime_provider.py.
Fixes#289
Enhanced error handling in the _model_flow_nous function to detect session expiration and prompt for re-authentication with the Nous Portal. Added logic to manage re-login attempts and provide user feedback on success or failure, improving the overall user experience during authentication issues.
Updated the authentication mechanism to store Codex OAuth tokens in the Hermes auth store located at ~/.hermes/auth.json instead of the previous ~/.codex/auth.json. This change includes refactoring related functions for reading and saving tokens, ensuring better management of authentication states and preventing conflicts between different applications. Adjusted tests to reflect the new storage structure and improved error handling for missing or malformed tokens.
Introduced a new command "/usage" in the CLI to show cumulative token usage for the current session. This includes details on prompt tokens, completion tokens, total tokens, API calls, and context state. Updated command documentation to reflect this addition. Enhanced the AIAgent class to track token usage throughout the session.
Introduced a new command "/compress" to the CLI, allowing users to manually trigger context compression on the current conversation. The method checks for sufficient conversation history and active agent status before performing compression, providing feedback on the number of messages and tokens before and after the operation. Updated command documentation accordingly.
- Enhanced Codex model discovery by fetching available models from the API, with fallback to local cache and defaults.
- Updated the context compressor's summary target tokens to 2500 for improved performance.
- Added external credential detection for Codex CLI to streamline authentication.
- Refactored various components to ensure consistent handling of authentication and model selection across the application.
- Added configuration options for automatic session resets based on inactivity or daily boundaries in cli-config.yaml.
- Enhanced SessionResetPolicy class to support a "none" mode for no auto-resets.
- Implemented memory flushing before session resets in SessionStore to preserve important information.
- Updated setup wizard to guide users in configuring session reset preferences.
- Implemented a check to determine if the hermes-gateway service is active after an update.
- Added logic to automatically restart the service if it is running, ensuring changes are applied without manual intervention.
- Updated user guidance to reflect the new auto-restart feature, removing the need for manual restart instructions.
- Added functionality to keep the .env file in sync with terminal configuration settings in config.yaml, ensuring terminal_tool can directly access necessary environment variables.
- Updated setup wizard to save selected backend and associated Docker image to .env for improved consistency and usability.
- Updated README to reflect the new command for configuring tools per platform.
- Modified tools_config.py to correct the handling of preselected entries in the toolset checklist, ensuring proper functionality during user interaction.
- Updated the logic in _has_any_provider_configured to include OPENAI_BASE_URL as a valid provider variable, allowing local models to be recognized without an API key.
- Consolidated environment variable checks into a single tuple for better maintainability.
Closes#77. Users can now type /verbose in the CLI to toggle verbose
mode on or off without restarting. When enabled, full tool call
parameters, results, and debug logs are shown. The agent's
verbose_logging and quiet_mode flags are updated live, and Python
logging levels are reconfigured accordingly.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Opt-in persistent cross-session user modeling via Honcho. Reads
~/.honcho/config.json as single source of truth (shared with
Claude Code, Cursor, and other Honcho-enabled tools). Zero impact
when disabled or unconfigured.
- honcho_integration/ package (client, session manager, peer resolution)
- Host-based config resolution matching claude-honcho/cursor-honcho pattern
- Prefetch user context into system prompt per conversation turn
- Sync user/assistant messages to Honcho after each exchange
- query_user_context tool for mid-conversation dialectic reasoning
- Gated activation: requires ~/.honcho/config.json with enabled=true
Line 184 hardcoded Path.home() / ".hermes" instead of using the
existing HERMES_HOME variable which already respects the env var.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Implemented functionality to run `npm audit` for specified Node.js package directories.
- Added checks for vulnerabilities, reporting critical, high, and moderate issues.
- Enhanced user feedback based on audit results, guiding users on necessary actions for vulnerabilities.
- Updated README and CLI documentation to include new commands for resuming sessions: `--continue` for the most recent session and `--resume <id>` for specific sessions.
- Added examples in the CLI help output and detailed instructions on resuming sessions in the documentation.
- Improved user experience by automatically displaying the resume command upon exiting a session.
- Added a new command-line argument `--continue` to allow users to resume the most recent CLI session easily.
- Introduced a helper function to retrieve the last session ID from the database.
- Updated command handling to integrate the new session continuation functionality.
The `hermes` CLI entry point (hermes_cli/main.py) and the agent runner
(run_agent.py) only loaded .env from the project installation directory.
After the standard installer, code lives at ~/.hermes/hermes-agent/ but
config lives at ~/.hermes/ — so the .env was never found.
Aligns these entry points with the pattern already used by gateway/run.py
and rl_cli.py: load ~/.hermes/.env first, fall back to project root .env
for dev-mode compatibility.
Also fixes:
- status.py checking .env existence and API keys at PROJECT_ROOT
- doctor.py KeyError on tool availability (missing_vars vs env_vars)
- doctor.py checking logs/ and Skills Hub at PROJECT_ROOT instead of HERMES_HOME
- doctor.py redundant logs/ check (already covered by subdirectory loop)
- mini-swe-agent loading config from platformdirs default instead of ~/.hermes/
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Updated exception handling in multiple prompt functions to catch NotImplementedError alongside ImportError, improving robustness across the application.
- Ensured fallback mechanisms are clearly documented for better understanding of platform limitations.
- Implemented functionality to load ephemeral prefill messages from a JSON file, enhancing few-shot priming capabilities for the agent.
- Introduced a mechanism to load an ephemeral system prompt from environment variables or configuration files, ensuring dynamic prompt adjustments at API-call time.
- Updated the CLI and agent initialization to utilize the new prefill messages and system prompt, improving the overall interaction experience.
- Enhanced configuration options with new environment variables for prefill messages and system prompts, allowing for greater customization without persistence.
- Introduced a new mapping for toolset environment variable requirements, enhancing the configuration process by prompting users for missing API keys.
- Implemented a function to check and prompt users for necessary API keys when enabling toolsets, improving user experience and ensuring proper setup.
- Updated the tools command to integrate the new API key checks, streamlining the configuration workflow for users.
- Updated messaging in the checklist prompts to simplify instructions for item selection, changing "Press SPACE to select items, then ENTER on Continue" to "SPACE to toggle, ENTER to confirm."
- Removed the "Continue →" entry from the menu items to streamline the selection process.
- Enhanced user experience by clarifying input prompts and removing unnecessary options, ensuring a more intuitive interaction.
- Updated the display format of tool descriptions in the configuration prompts to enhance readability.
- Simplified the messaging for enabled tool counts, removing unnecessary color formatting for a cleaner output.
- Streamlined the exit message for the configuration process, improving user experience during tool setup.
- Introduced a new `tools` command in the CLI for configuring enabled tools per platform.
- Implemented an interactive checklist for users to enable or disable toolsets for various platforms, enhancing customization options.
- Created a new `tools_config.py` file to handle the logic for toolset management and user prompts, improving code organization and user experience.
- Introduced a new helper function to handle API key prompts, improving code organization and readability.
- Enhanced user experience by providing a formatted display for API key input, including tool descriptions and URLs.
- Simplified the setup wizard by replacing inline API key handling with the new helper function, ensuring consistent messaging and feedback during configuration.
- Modified the prompt in the setup wizard to clarify the selection process, instructing users to press SPACE to select items and ENTER to continue, enhancing user experience during configuration.
- Updated the setup wizard to present messaging platforms as a checklist, allowing users to select which platforms to configure.
- Preserved the order of platforms while grouping them for improved clarity.
- Enhanced user prompts for setting up each selected messaging platform, streamlining the configuration process.
- Changed default value for HERMES_TOOL_PROGRESS from "false" to "true" to enable tool progress notifications by default.
- Updated default value for HERMES_TOOL_PROGRESS_MODE from "new" to "all" to provide more comprehensive progress updates.
- Enhanced the setup wizard prompts for enabling tool progress messages and context compression, improving user guidance and experience.
- Updated the OPTIONAL_ENV_VARS dictionary to include a new "category" field for better organization of environment variables.
- Improved the setup wizard to categorize missing optional environment variables into tools and messaging platforms, enhancing user experience during configuration.
- Streamlined the prompts for configuring tools and messaging platforms, allowing for a more intuitive setup process.
- Updated the environment variable name from HERMES_OPENAI_API_KEY to VOICE_TOOLS_OPENAI_KEY across multiple files to avoid interference with OpenRouter.
- Adjusted related error messages and configuration prompts to reflect the new variable name, ensuring consistency throughout the codebase.
- Eliminated the multi_select_cursor_brackets_style parameter from the prompt_checklist function, simplifying the code and improving clarity in the multi-select user interface.
- Cleared the REQUIRED_ENV_VARS dictionary as no single environment variable is universally required.
- Enhanced the OPTIONAL_ENV_VARS with improved descriptions and added advanced options for better user guidance.
- Introduced a new prompt_checklist function to allow users to select tools during setup, improving the configuration experience.
- Updated the setup wizard to handle missing optional environment variables using the new checklist, streamlining the tool configuration process.
- Introduced a new channel directory to cache reachable channels/contacts for messaging platforms, enhancing the send_message tool's ability to resolve human-friendly names to numeric IDs.
- Added functionality to mirror sent messages into the target's session transcript, providing context for cross-platform message delivery.
- Updated the send_message tool to support listing available targets and improved error handling for channel resolution.
- Enhanced the gateway to build and refresh the channel directory during startup and at regular intervals, ensuring up-to-date channel information.
- Extracted agent internals into a dedicated `agent/` directory, including model metadata, context compression, and prompt handling.
- Enhanced CLI structure by separating banner, commands, and callbacks into distinct modules within `hermes_cli/`.
- Updated README to reflect the new directory organization and clarify the purpose of each component.
- Improved tool registration and terminal execution backends for better maintainability and usability.
- Removed legacy cron daemon functionality, integrating cron job execution directly into the gateway process for improved efficiency.
- Updated CLI commands to reflect changes, replacing `hermes cron daemon` with `hermes cron status` and enhancing documentation for cron job management.
- Clarified messaging in the README and other documentation regarding the gateway's role in managing cron jobs.
- Removed obsolete terminal_hecate tool and related configurations to simplify the codebase.
- Updated various modules including cli.py, run_agent.py, gateway, and tools to replace silent exception handling with structured logging.
- Improved error messages to provide more context, aiding in debugging and monitoring.
- Ensured consistent logging practices throughout the codebase, enhancing traceability and maintainability.
- Updated the README to include a new banner image and changed the title emoji from 🦋 to ⚕.
- Modified various CLI outputs and scripts to reflect the new branding, ensuring consistency in the use of the ⚕ emoji.
- Added a new banner image asset for enhanced visual appeal during installation and setup processes.
- Added a new function to deactivate the active provider without deleting credentials, facilitating smoother transitions between different provider types.
- Updated the model flow logic to ensure the active provider is correctly set in the configuration, including handling custom endpoints and OAuth providers.
- Improved error handling in the CLI to consistently format authentication error messages.
- Enhanced the model selection process to reflect the effective provider based on configuration and environment variables.
- Added a comprehensive "Getting Started" section in the README to guide users through selecting inference providers.
- Implemented an interactive model selection feature in the CLI, allowing users to choose from available models or enter a custom model name.
- Improved user experience by displaying the current model and active provider during selection, with clear instructions for each provider type.
- Updated the model selection process to prioritize the currently active model, enhancing usability and clarity.
- Implemented a new interactive model selection feature after user login, allowing users to choose from available models or enter a custom model name.
- Added functionality to save the selected model to the configuration file and environment variables, ensuring persistence across sessions.
- Enhanced user experience by providing both menu-based and fallback number-based selection methods for model choice.
- Implemented a multi-provider authentication system for the Hermes Agent, supporting OAuth for Nous Portal and traditional API key methods for OpenRouter and custom endpoints.
- Enhanced CLI with commands for logging in and out of providers, allowing users to authenticate and manage their credentials easily.
- Updated configuration options to select inference providers, with detailed documentation on usage and setup.
- Improved status reporting to include authentication status and provider details, enhancing user awareness of their current configuration.
- Added new files for authentication handling and updated existing components to integrate the new provider system.
- Added a new `skill_manager_tool` to enable agents to create, update, and delete their own skills, enhancing procedural memory capabilities.
- Updated the skills directory structure to support user-created skills in `~/.hermes/skills/`, allowing for better organization and management.
- Enhanced the CLI and documentation to reflect the new skill management functionalities, including detailed instructions on creating and modifying skills.
- Implemented a manifest-based syncing mechanism for bundled skills to ensure user modifications are preserved during updates.
- Implemented prompts for configuring Slack bot and WhatsApp bridge during the setup process.
- Added instructions for creating a Slack app and saving necessary tokens, enhancing user guidance.
- Included security recommendations for restricting bot access and a reminder to start the messaging gateway after setup.
Two-part implementation:
Part A - Curated Bounded Memory:
- New memory tool (tools/memory_tool.py) with MEMORY.md + USER.md stores
- Character-limited (2200/1375 chars), § delimited entries
- Frozen snapshot injected into system prompt at session start
- Model manages pruning via replace/remove with substring matching
- Usage indicator shown in system prompt header
Part B - SQLite Session Store:
- New hermes_state.py with SessionDB class, FTS5 full-text search
- Gateway session.py rewritten to dual-write SQLite + legacy JSONL
- Compression-triggered session splitting with parent_session_id chains
- New session_search tool with Gemini Flash summarization of matched sessions
- CLI session lifecycle (create on launch, close on exit)
Also:
- System prompt now cached per session, only rebuilt on compression
(fixes prefix cache invalidation from date/time changes every turn)
- Config version bumped to 3, hermes doctor checks for new artifacts
- Disabled in batch_runner and RL environments
- Introduced a new function `_resolve_short_name` to convert short skill names to full identifiers, improving user experience during skill installation.
- Updated the `do_install` function to utilize the new resolution method for identifiers without slashes, ensuring accurate skill fetching.
- Enhanced the install confirmation process to include a disclaimer about third-party skills, emphasizing user responsibility and security awareness.
- Introduced a new `todo_tool.py` for planning and tracking multi-step tasks, enhancing the agent's capabilities.
- Updated CLI to include a floating autocomplete dropdown for commands and improved user instructions for better navigation.
- Revised toolsets to incorporate the new `todo` tool and updated documentation to reflect changes in available tools and commands.
- Enhanced user experience with new keybindings and clearer command descriptions in the CLI.
Two config systems used different key names for the terminal backend:
- hermes_cli/config.py, README, and all docs use "terminal.backend"
- cli.py's env var mapping only recognized "terminal.env_type"
Users following the docs who set `backend: modal` in ~/.hermes/config.yaml
had it silently ignored -- TERMINAL_ENV always defaulted to "local".
Additionally, when no config file existed, cli.py's hardcoded defaults
overwrote any TERMINAL_ENV=modal set in .env, despite the comment saying
"env vars take precedence."
Fixes:
- cli.py now normalizes "backend" -> "env_type" (backend takes precedence)
- Defaults no longer overwrite .env when no config file terminal section exists
- hermes status reads from config as fallback when env var isn't set
Also fixes four related bugs found in the Modal/sandbox lifecycle:
- file_tools cache not cleared on sandbox cleanup (stale ops on dead sandbox)
- Global lock held during slow Modal teardown (blocked all tool calls 10-15s)
- Race condition in file_tools between existence check and access (KeyError)
- Per-task creation locks never cleaned up (memory leak)
- Removed the check for the browserbase SDK from the optional packages list.
- Added validation for Node.js installation and the presence of the agent-browser package, providing feedback on their status for browser automation tools.
- Updated the doctor script to load environment variables from user-specific and project-specific `.env` files, improving configuration management.
- Added checks for the existence of the `SOUL.md` persona file, providing feedback on its status and creating it with a template if missing.
- Enhanced install scripts to create the `SOUL.md` file if it doesn't exist, ensuring users can easily customize the agent's personality.
- Implemented deep copy of DEFAULT_CONFIG to prevent mutations during config loading.
- Enhanced user config merging process to clarify the deep merge of user values over defaults.
- Added newline handling when appending environment variables to ensure proper formatting.
- Updated the set_config_value function to write only user-specific configurations back to the file, avoiding overwriting default values.
- Updated prompts for the OPENAI_BASE_URL to clarify its use for custom endpoints.
- Enhanced the migration function to skip "advanced" environment variables during interactive configuration, streamlining the setup for standard users.
- Improved messaging for missing optional API keys, ensuring clearer guidance for users during configuration.
- Revised descriptions and prompts for the OPENAI_BASE_URL and OPENAI_API_KEY environment variables to enhance user understanding.
- Added a URL reference for the OPENAI_API_KEY to guide users in obtaining their API key.
- Specified the use of the API key for voice transcription and custom endpoints, improving the overall configuration documentation.
- Updated the start_gateway function to return a boolean indicating success or failure, allowing for better control over exit codes.
- Modified the main function to handle gateway startup failures, ensuring systemd can automatically restart on transient errors.
- Enhanced error handling in the hermes_cli gateway to exit with code 1 if the gateway fails to connect to any platform.
- Changed the default LLM model in the setup wizard and example environment file to 'anthropic/claude-opus-4.6'.
- Updated terminal working directory settings in CLI and related files to use the current directory ('.') instead of '/tmp'.
- Enhanced documentation comments for clarity on terminal configuration and working directory behavior.
- Added `max_tokens`, `reasoning_config`, and `prefill_messages` parameters to `BatchRunner` and `AIAgent` for improved model response control.
- Updated CLI to support new options for reasoning effort and prefill messages from a JSON file.
- Modified example configuration files to reflect changes in default model and summary model.
- Improved error handling for loading prefill messages and reasoning configurations in the CLI.
- Updated documentation to include new parameters and usage examples.
- Integrated `uv` as a fast Python package manager for automatic Python provisioning and dependency management.
- Updated installation scripts (`setup-hermes.sh`, `install.sh`, `install.ps1`) to utilize `uv` for installing Python and packages, streamlining the setup process.
- Revised `README.md` to reflect changes in installation steps, including symlinking `hermes` for global access and clarifying Python version requirements.
- Adjusted commands in `doctor.py` and other scripts to recommend `uv` for package installations, ensuring consistency across the project.
- Added `prompt_toolkit` as a direct dependency for interactive CLI support.
- Updated `modal` optional dependency to require `swe-rex[modal]>=1.4.0` for improved cloud execution capabilities.
- Enhanced `messaging` optional dependencies to include `aiohttp>=3.9.0` for WhatsApp bridge communication.
- Refined installation scripts to check for Python version requirements, emphasizing the need for Python 3.11+ for RL training tools.
- Improved setup scripts to ensure proper installation of submodules and dependencies, enhancing user experience during setup.
- Introduced file manipulation capabilities in `model_tools.py`, including functions for reading, writing, patching, and searching files.
- Added a new `file` toolset in `toolsets.py` and updated distributions to include file tools.
- Enhanced `setup-hermes.sh` and `install.sh` scripts to check for and optionally install `ripgrep` for faster file searching.
- Implemented a new `file_operations.py` module to encapsulate file operations using shell commands.
- Updated `doctor.py` and `install.ps1` to check for `ripgrep` and provide installation guidance if not found.
- Added fuzzy matching and patch parsing capabilities to improve file manipulation accuracy and flexibility.
- Updated `.env.example` to include Tinker and WandB API keys for reinforcement learning training.
- Enhanced `model_tools.py` to clarify configuration options and streamline the RL training process.
- Expanded `README.md` with detailed instructions for setting up RL training using Tinker and WandB.
- Modified `hermes_cli` files to integrate RL training tools and ensure proper configuration checks.
- Improved `rl_training_tool.py` to reflect changes in training parameters and configuration management.
- Introduced a new callback mechanism in the AIAgent class to send tool progress messages during execution, enhancing user feedback in messaging platforms.
- Updated the GatewayRunner to support tool progress notifications, allowing users to enable or disable this feature via environment variables.
- Enhanced the CLI setup wizard to prompt users for enabling tool progress messages and selecting the notification mode (all or new), improving configuration options.
- Updated relevant documentation to reflect the new features and configuration settings for tool progress notifications.
- Increased the default maximum tool-calling iterations from 20 to 60 in the CLI configuration and related files, allowing for more complex tasks.
- Updated documentation and comments to reflect the new recommended range for iterations, enhancing user guidance.
- Implemented backward compatibility for loading max iterations from the root-level configuration, ensuring a smooth transition for existing users.
- Adjusted the setup wizard to prompt for the maximum iterations setting, improving user experience during configuration.
- Added new environment variables for Telegram and Discord bot configurations, including `TELEGRAM_ALLOWED_USERS` and `DISCORD_ALLOWED_USERS`, to restrict bot access to specific users.
- Updated documentation in AGENTS.md and README.md to include detailed setup instructions for the messaging gateway, emphasizing the importance of user allowlists for security.
- Improved the CLI setup wizard to prompt for allowed user IDs during configuration, enhancing user guidance and security awareness.
- Refined the gateway run script to support user authorization checks, ensuring only allowed users can interact with the bot.
- Added a safety mechanism to detect and approve potentially dangerous commands (e.g., `rm -rf`, `DROP TABLE`).
- Introduced an approval flow for local/SSH backends, prompting users for confirmation with options to allow once, for the session, or permanently.
- Updated configuration to include a `command_allowlist` for storing approved patterns.
- Enhanced messaging for sudo failures in messaging contexts.
- Updated relevant documentation in AGENTS.md and TODO.md to reflect these changes.
- Introduced a new `uninstall` command in the CLI for the Hermes Agent, allowing users to remove the agent while optionally retaining configuration files for future reinstallation.
- Updated AGENTS.md and README.md to include the new uninstall functionality, enhancing user guidance on available commands and their purposes.
- Improved command-line interface with detailed help options for the uninstall process, including flags for full removal and confirmation prompts.
- Introduced a configuration migration system to check for missing required environment variables and outdated config fields, prompting users for necessary inputs during updates.
- Enhanced the CLI with new commands for checking and migrating configuration, improving user experience by providing clear guidance on required settings.
- Updated the setup wizard to detect existing installations and offer quick setup options for missing configurations, streamlining the user onboarding process.
- Improved messaging throughout the CLI to inform users about the status of their configuration and any required actions.
- Updated the setup wizard and installation scripts to standardize the configuration file paths under ~/.hermes, enhancing clarity for users.
- Improved messaging in the CLI to clearly indicate where configuration files and data directories are located.
- Streamlined the creation of configuration files, ensuring they are easily accessible and organized within the new directory structure.
- Updated the CLI to include a new method for displaying warnings about disabled tools due to missing API keys.
- Integrated tool availability checks into the setup wizard and doctor commands, providing users with clear information on which tools are available and what is required for full functionality.
- Improved user prompts and feedback regarding API key configuration, emphasizing the importance of setting up keys for certain tools.
- Added detailed summaries of tool availability during setup and diagnostics, enhancing the overall user experience.
- Updated the setup wizard to clarify the OpenRouter API key requirement and enhance user prompts for API key input.
- Streamlined the main agent provider selection process, allowing users to choose between OpenRouter and custom endpoints with improved guidance.
- Renumbered setup steps for better organization and clarity, ensuring a smoother user experience during configuration.
- Enhanced error handling and user feedback for API configuration, emphasizing the importance of the OpenRouter key for certain tools.
- Added platform detection to customize available terminal backend options based on the operating system (Linux, macOS, Windows).
- Updated terminal choices to include Singularity/Apptainer only for Linux users, with appropriate warnings for unsupported selections.
- Improved user prompts for Docker and local configurations to provide platform-specific guidance.
- Refactored backend selection logic to streamline the process and ensure accurate mapping of user choices to backend configurations.
- Changed default Docker, Singularity, and Modal images in configuration files to use "nikolaik/python-nodejs:python3.11-nodejs20" for improved compatibility.
- Updated the default model in the configuration to "anthropic/claude-sonnet-4.5" and adjusted related setup prompts for API provider configuration.
- Introduced a new CLI option for selecting a custom OpenAI-compatible endpoint, enhancing flexibility in model provider setup.
- Enhanced the prompt choice functionality to support arrow key navigation for better user experience in CLI interactions.
- Updated documentation in relevant files to reflect these changes and improve user guidance.
- Updated CLI to load configuration from user-specific and project-specific YAML files, prioritizing user settings.
- Introduced a new command `/platforms` to display the status of connected messaging platforms (Telegram, Discord, WhatsApp).
- Implemented a gateway system for handling messaging interactions, including session management and delivery routing for cron job outputs.
- Added support for environment variable configuration and a dedicated gateway configuration file for advanced settings.
- Enhanced documentation in README.md and added a new messaging.md file to guide users on platform integrations and setup.
- Updated toolsets to include platform-specific capabilities for Telegram, Discord, and WhatsApp, ensuring secure and tailored interactions.
