# HIVE Roadmap Practical roadmap for turning `infj_bot + DRIFT + hive_mind` into a real multi-agent cognitive system instead of a collection of disconnected features. This plan is ordered by compounding leverage. Each phase should leave behind a usable capability, tests, and at least one operator-visible surface. ## Principles - Local-first by default: shared state should work on this machine without cloud dependencies. - Auditable over magical: every proposal, critique, vote, and resolution should be inspectable. - Memory with boundaries: store what helps, scrub what harms, and support forgetting. - Safe autonomy: action flows need explicit scope, rollback, and policy-aware gates. - Progressive federation: the single-node bot should still work well even if the full hive is partially offline. ## Phase 1: Hive Visibility and Control Status: in progress Goals: - Surface hive state through CLI and API. - Make node, bus, and bridge health visible from the main bot. - Establish a stable operator vocabulary for threads, critiques, votes, and resolutions. Shipped in this phase: - `/hive` command for local hive status - `/api/hive` endpoint - Hive summary inside the cognitive system report ## Phase 2: First Consensus Loop Status: shipped Goals: - Turn hive consensus into a usable feature from the main bot. - Allow one proposal to trigger structured responses from role lanes. - Persist the resulting thread to working memory and shared memory. Capability: - `/hive propose ` - creates a thread - synthesizes role feedback from critic, architect, empath, and watcher lenses - casts votes - resolves to adopted, tabled, or needs more data - stores the thread outcome in hive memory ## Phase 5: Elysium — Persistent Distributed Frontal Lobe Status: shipped — 2026-05-17 Goals: - Transform the Hive into a true persistent distributed frontal lobe. - Give DRIFT an explicit self-model (Nexus) that learns from every decision. - Make Council members persistent identities with memory views and energy. Shipped: - `core/hive/elysium.py` — Nexus Loop engine - `core/hive/nexus.py` — persistent self-model (goals, moral stance, narrative arc, tensions) - `core/hive/council_member.py` — 7 persistent voices with fractal memory filters - Commands: `/hive nexus decide `, `/hive reflect`, `/hive council status` - Background reflection wired into consciousness loop - Health check for Elysium coherence ## Phase 3: Memory Integrity Layer Goals: - Improve long-term reliability of hive memory. - Add contradiction handling, validation, and retention classes. Upgrades: - Source-aware trust scoring - Contradiction tagging between related memories - Retention classes: ephemeral, durable, private, sanitized - Forget/edit hooks from the main bot - Better validator trails on shared memory entries ## Phase 4: Long-Horizon Planning Goals: - Let the hive carry goals across multiple turns and failures. - Support milestones, progress tracking, and plan repair. Upgrades: - Goal threads in working memory - Milestone objects with status transitions - Failure classification and repair strategies - Watcher-based disruption alerts ## Phase 5: Tool Orchestration Spine Goals: - Move from chat-centric reasoning to governed execution. - Route high-risk actions through role-aware review. Upgrades: - Proposal types for tool execution, not just ideas - Dry-run and rollback metadata - Tool policy profiles by mode - Shared action log across prompt, memory, and tool layers ## Phase 6: Personalization With Boundaries Goals: - Improve continuity without turning private context into permanent clutter. Upgrades: - Preference classes with expiry - Sensitivity tags - Explicit opt-in memory domains - Local-first user model summaries ## Immediate Repo Backlog 1. Expose the first consensus loop in `commands.py` and the API. 2. Add tests for proposal, critique, watcher veto, and persistence behavior. 3. Add a lightweight thread summary view: `/hive thread `. 4. Persist consensus outcomes with richer metadata for later retrieval. 5. Connect long-horizon goals to hive thread generation. ## Suggested Command Surface - `/hive` - `/hive propose ` - `/hive thread ` - `/hive stats` - `/hive sync` ## Success Metric The hive is worth keeping when it helps the main bot make better decisions than a single response would, and when the reasoning can be inspected afterward without guesswork.