Results for “continuity”

Structured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.

Write an end-of-session handover LogEntry capturing current state, open threads, next action, and git context for session continuity.

Maintains a working memory file for AI agents, tracking active goals, completed tasks, performance metrics, blockers, and key decisions across sessions.

Track code changes with structured JSON records, an enforced state machine, and a session handoff format for AI continuity.

Writes or updates a HANDOFF.md document to preserve context for the next agent, including goal, progress, what worked, what didn't, and next steps.

Provides cross-harness memory for agents by maintaining a local memex and offering commands to query, record, and check status across sessions.

Implements a continual learning loop for AI coding agents using hooks, two-tier memory (global and local), and automatic pattern detection to persist and apply learnings across sessions.

Maintains a product repo's canonical docs structure (CLAUDE.md, progress.txt, docs/product+system+design-system, context/) as single source of truth, and keeps the log.md session history separate from the progress.txt state snapshot. Trigger after feature completion, before git push, on architecture changes, at session end, or explicit "update docs"/"sync documentation" requests. Skip for trivial changes (<10 LOC, no logic/schema/UI changes).

Build a weekly cadence of customer touchpoints using Opportunity Solution Trees, assumption mapping, and interview snapshots to keep product decisions grounded in evidence.

Generate one best-next-step proposal after a successful task run, either the next phase in a series or a high-value improvement.

Persists through implement-verify-fix loops until a task is fully completed and verified, overriding default stopping behavior.

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Persists project context across Claude Code sessions. Auto-loads project summaries on startup, tracks session progress, and saves structured state via deterministic Node.js scripts.

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Creates or resumes a HANDOFF.md so a fresh Claude Code session can continue work without repeating dead ends, with strict anti-hallucination verification.

One-time setup that gathers design context for your project and saves it to your AI config file. Run once to establish persistent design guidelines.

Self-referential loop until task completion with architect verification

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Diverga Memory System v7.0 - Context-persistent research support with checkpoint auto-trigger and cross-session continuity. Triggers: memory, remember, context, recall, checkpoint, decision, persist, 기억, 맥락, 세션, 체크포인트

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Persistent per-project memory for Claude Code. Auto-loads project context on session start, tracks sessions with git activity, and writes to native memory. Commands run deterministic Node.js scripts — behavior is consistent across model versions.

Self-referential loop until task completion with architect verification

Stores verified cross-session facts, decisions, preferences, and open questions without secrets, speculation, or monitoring.

Agente de contexto para continuidade entre sessoes. Salva resumos, decisoes, tarefas pendentes e carrega briefing automatico na sessao seguinte.

Continuous self-improvement through systematic logging, pattern detection, and behavioral updates. Use when: the owner corrects you, a task fails, you discover a better approach, or you notice a recurring pattern. Store raw learnings in .learnings/, update the specific skill or workflow that caused the issue when appropriate, and avoid vague promises to do better.

Runs a persistent verification-and-fix loop, executing existing test suites and browser/desktop checks until the requested surface is verified or a real blocker remains.

Trade perpetuals on Arbitrum's Nexus DEX with autonomous agent support, including position management, thesis publishing, and leaderboard tracking.

Applies the same change across multiple repositories in parallel using git worktrees, tests, and pull requests.

Continue working on an OpenSpec change by creating the next artifact. Use when the user wants to progress their change, create the next artifact, or continue their workflow.

Records learnings, errors, and corrections to support continuous improvement.