- Updated the SSH cloning process to include a cleanup step for partial clones if the SSH attempt fails, improving the fallback to HTTPS.
- Modified output messages for clarity, including renaming the gateway installation command to better reflect its function.
- Added GIT_SSH_COMMAND to disable interactive prompts and set a timeout for SSH cloning, enhancing the cloning process for private repositories.
- Implemented cleanup of partial SSH clones if the SSH attempt fails, ensuring a smoother fallback to HTTPS cloning.
- 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.
- Introduced automatic installation of Node.js version 22 if not found on the system, enhancing the setup process for browser tools.
- Improved the check for existing Node.js installations, including support for Hermes-managed installations.
- Added logic to download and extract the appropriate Node.js binary based on the system architecture and OS.
- Updated the installation script to handle missing dependencies like ripgrep and ffmpeg, providing installation prompts for macOS users.
- 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 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.
- Changed the banner message in both PowerShell and shell scripts to reflect the new branding of the Hermes Agent as an open source AI agent by Nous Research, enhancing clarity and consistency across installation scripts.
- 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.
- Introduced a new function to check for configured messaging platform tokens and prompt the user to start the gateway.
- Updated the installation scripts to automatically start the gateway if messaging tokens are detected, enhancing user experience.
- Expanded the README to include instructions for starting the gateway, ensuring users are informed about the necessary steps for message handling.
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
- 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.
- Clarified the requirements for Telegram voice bubbles, specifying the need for ffmpeg when using Edge TTS.
- Enhanced README and messaging documentation to detail audio delivery formats across platforms.
- Improved installation script messages to inform users about the necessity of ffmpeg for proper audio playback on Telegram.
- Introduced a new script, `kill_modal.sh`, to facilitate stopping running Modal apps, including the ability to stop all apps or specific swe-rex sandboxes.
- Enhanced user experience with clear usage instructions and feedback during the stopping process.
- Improved error handling to ensure smooth execution even if some apps fail to stop.
- 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.
- Modified `model_tools.py` to update default model IDs and add new RL function `rl_test_inference`.
- Enhanced `README.md` with installation instructions for submodules and updated API key usage.
- Improved `rl_cli.py` to load configuration from `~/.hermes/config.yaml` and set terminal working directory for RL tools.
- Updated `run_agent.py` to handle empty string arguments as empty objects for better JSON validation.
- Refined installation scripts to ensure submodules are cloned and installed correctly, enhancing setup experience.
- 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 install script to attempt cloning via SSH first for private repositories, falling back to HTTPS if the SSH method fails.
- Added detailed error handling and user guidance for SSH key setup, improving the installation experience for users with private repositories.
- Modified the install script to include separate variables for SSH and HTTPS repository URLs, enhancing flexibility for users during the cloning process.
- This change allows users to choose their preferred method of accessing the repository, improving the overall installation experience.
- Updated the install script to support both SSH and HTTPS cloning methods for the repository, improving flexibility for users with different access configurations.
- Added error handling and informative logging to guide users in case of cloning failures, particularly for private repositories requiring SSH key setup.
- Refactored the cloning logic to attempt SSH first, falling back to HTTPS if necessary, ensuring a smoother installation experience.
- 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.
- Introduced mini_swe_runner.py for executing tasks using mini-swe-agent environments (local, Docker, Modal) and outputting trajectories in Hermes format.
- Implemented trajectory_compressor.py to post-process agent trajectories, compressing them within a target token budget while preserving essential content.
- Added trajectory_compression.yaml configuration file for customizable compression settings.
- Created sample_and_compress.py script to download, sample, and compress trajectories from HuggingFace datasets.
- Enhanced logging and error handling across new modules for improved usability and debugging.
