Provides a native desktop interface to install, configure, and chat with Hermes Agent—handling local or remote backends, provider setup, sessions, memory, and tools. Ships a guided installer, streaming SSE chat UI with token tracking, persona/profile management, messaging gateways, and cron scheduling.
Compresses LLM/agent replies into a terse “caveman” style to cut output tokens (~65–75%) while preserving technical accuracy. Offers per-agent skills, intensity modes, memory-compression and middleware to lower token cost and extend usable context.
Automates scanning and evaluating job listings with LLM-driven agents, then generates ATS-optimized, per-role PDFs and a unified tracker. Supports batch processing and terminal-first workflows with structured A–F scoring and portal scanners.
Turns source documents into a linked, source-cited Obsidian wiki for grounded Q&A and research. Local-first vault workflows with content-addressed capture, provenance ledgers, BM25 retrieval, and Claude Code / Agent Skills integration.
Turns your documents into a persistent, interlinked personal wiki by incrementally reading sources, generating wiki pages, and keeping knowledge up to date. Features two-step chain-of-thought ingest, graph-based relevance with Louvain clustering, optional embedding search (LanceDB), and a local HTTP API for agent integration.
A local-first web and desktop dashboard for Hermes Agent that runs multi-agent LLM chats, manages profiles/providers/models, schedules automated jobs, and connects platform channels (Telegram/Discord/Slack/etc.) with built-in TTS, file browser, and usage analytics.
A local-first web and desktop dashboard for Hermes Agent that runs streamed agent chats, manages profiles/providers/models/credentials, schedules cron jobs, and inspects files and terminals across local, Docker, SSH and Singularity backends.
Provides a local-first web-intelligence layer for AI agents: search, fetch, crawl, extract, cache, find-similar and agent-style research without API keys or per-query billing, running as an MCP server, REST daemon, or SDK.
Runs multiple AI agents in parallel inside a single macOS browser, giving each agent an isolated Space that can use your real logins without touching your tabs; controllable via an ego-browser JavaScript skill to perform web automation with fewer tokens and faster task completion.
Terminal-native AI coding agent that runs as a single static Go binary and preserves long LLM sessions using DeepSeek-aware prefix caching. Config- and plugin-driven: supports multiple providers, separate planner/executor sessions, and CLI/TUI, desktop and VS Code integrations.
Terminal-first developer workspace with an agentic AI side-panel that runs against your API keys or local models. Bundles a native PTY terminal, CodeMirror editor with AI edit diffs, file explorer, git history/graph, and a web preview in a ~7–8MB desktop app with no telemetry.