Roadmap

Last updated: 2026-07-27

Now

• keep the local-first runtime stable while main stays focused on the single-machine experience
• maintain 0 clippy warnings, 100% test pass rate
• improve integration docs and onboarding

Done (v0.2.0)

• Streaming tool-call parser (hermes-rs parser.rs port) — incremental <tool_call> detection from partial LLM output
• Tool guardrails — loop detection, idempotent/mutating classification, failure counting with configurable warn/block thresholds
• Pluggable context compaction — Compactor trait + default LLM summarizer
• Self-healing retry — auto re-prompt LLM with error context on tool failures
• Trajectory export — ReAct step serialization for RL training data
• Autonomous coding mode — 24/7 workspace loop: read TODO.md, run agent, validate with tests, git commit on success
• Skill curator — background task that reviews skills and suggests improvements
• Plugin lifecycle hooks — pre/post tool call, session start/end events
• Skill template preprocessing — ${HERMES_SKILL_DIR} / ${HERMES_SESSION_ID} variables + !\command`` inline shell in SKILL.md
• Cron scheduler — SurrealDB-backed with in-memory noop fallback for testing
• Cargo publish v0.2.0 to crates.io as apollo-agent

Next

• add tests for Telegram markdown conversion and long-message chunking
• add tests for audio/sticker handling in Telegram
• add trajectory collection toggle in config.yaml
• make swarm state more visible and easier to operate
• improve operator diagnostics
• move scheduler/session/control metadata onto unified Surreal contract

Later

• unify storage contracts for memory, session state, swarm tasks, and scheduling
• add better observability without bloating the binary
• add agent-authored skill maintenance and better long-term procedural memory

Not For This Branch

• hosted gateway product work
• web UI and deployment surface
• multi-user hosted control-plane (not planned on main)