Completed features, planned releases, and long-term vision for SuperLocalMemory - Community requests, contribution opportunities, and development timeline.

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Major Release: "Your AI Memory Has a Heartbeat"

SuperLocalMemory transforms from passive storage to active coordination layer.

New Features:

• ✅ Concurrent Write Safety — Eliminates "database is locked" errors across all concurrent tools
• ✅ Real-Time Events — Live event broadcasting to dashboard and connected tools (SSE, WebSocket, Webhook)
• ✅ Agent Tracking — Which AI tools connect, what they write, write/recall counters
• ✅ Trust Scoring — Background behavioral monitoring (silent in v2.5, enforcement in v2.6)
• ✅ Provenance Tracking — Who created each memory, via which protocol, derivation lineage
• ✅ Dashboard: Live Events tab — Real-time event stream with color-coded types, filtering, stats
• ✅ Dashboard: Agents tab — Connected agents table, trust overview, signal breakdown

See CHANGELOG.md for full details.

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Patch Release: Hierarchical Clustering & Documentation

New Features:

• ✅ Hierarchical cluster detection — recursive community detection up to 3 levels deep
• ✅ Community summaries — structured reports for every cluster (key topics, projects, hierarchy)
• ✅ Full documentation updates across README, wiki, and website

See CHANGELOG.md for full details.

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Major Release: Profile System & Intelligence

New Features:

• ✅ Memory profiles with full UI management (create, switch, delete)
• ✅ Advanced confidence scoring for pattern learning
• ✅ Auto-backup system with configurable intervals and retention
• ✅ Full profile isolation across all API endpoints (graph, clusters, patterns, timeline)
• ✅ UI overhaul: Settings tab, column sorting, enhanced patterns view

See CHANGELOG.md for full details.

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Patch Releases: ChatGPT Connector, SessionStart Hook, Smart Truncation

See CHANGELOG.md for details.

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Major Release: Universal Integration

Completed Features:

• ✅ 17+ IDE support (Cursor, Windsurf, Claude Desktop, Continue, Cody, Aider)
• ✅ MCP (Model Context Protocol) server implementation
• ✅ Universal CLI wrapper (slm command)
• ✅ 6 production-ready skills (remember, recall, list, status, build-graph, switch-profile) — expanded to 7 in v2.7
• ✅ Auto-detection during installation
• ✅ Enhanced documentation (1,400+ lines)
• ✅ MCP troubleshooting guide
• ✅ Shell completions (bash/zsh)

See CHANGELOG.md for full details.

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Initial Release: Complete Rewrite

Completed Features:

• ✅ Multi-layer universal architecture (storage, hierarchical index, knowledge graph, pattern learning, skills, MCP integration, universal access)
• ✅ Hybrid search (full-text + semantic)
• ✅ Knowledge graph with automatic topic clustering
• ✅ Multi-dimensional pattern learning
• ✅ Multi-profile support
• ✅ Progressive compression (3-tier)
• ✅ Security hardening (localhost-only, input validation)
• ✅ SQLite database with ACID transactions

For technical details, see our published research: https://zenodo.org/records/18709670

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Major Release: "Your AI Learns You"

Adaptive, local-only learning with personalized re-ranking.

New Features:

• ✅ Transferable preferences — Tech choices carry across profiles and projects
• ✅ Project context awareness — Multi-signal project detection
• ✅ Workflow pattern detection — Sequential and temporal usage patterns
• ✅ Adaptive re-ranking — Personalized results with cold-start handling
• ✅ Source quality learning — Which tools produce the most useful memories
• ✅ Multi-channel feedback — Learns from your usage across MCP, CLI, and dashboard
• ✅ 3 new MCP tools — memory_used, get_learned_patterns, correct_pattern
• ✅ 2 new MCP resources — memory://learning/status, memory://engagement
• ✅ 1 new skill — slm-show-patterns

Totals: 12 MCP tools, 6 resources, 2 prompts, 7 skills

See CHANGELOG.md for full details.

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Release: "Interactive Knowledge Graph"

• ✅ Interactive graph visualization — Zoom, pan, click, hover, multiple layouts, cluster filtering
• ✅ Security hardening — Trust enforcement, rate limiting, protection against injection, profile isolation

See CHANGELOG.md for full details.

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Theme: Incremental updates and automation

Planned Features:

Status: 🔨 In Development

Current: Full graph rebuild required Planned: Incremental updates in the background

Benefits:

• Much faster graph updates after each memory
• Real-time graph maintenance
• No need for manual build-graph after each memory

Status: 📝 Planned

Current: Manual compression trigger Planned: Automatic age-based compression

How it works:

• Recent memories: Full content
• Older memories: Summarized automatically
• Oldest memories: Archived with high compression

Access patterns influence which tier memories stay in — frequently accessed memories stay fresh.

Status: 📝 Planned

Purpose: HTTP API for language-agnostic access

Still 100% local (binds to localhost only)

Status: 📝 Planned

Benefits:

• One-command deployment
• Isolated environment
• Easy team sharing

Status: 📝 Planned

Track search latency, save latency, graph build time, and database growth from the CLI.

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Theme: AI integrations and visualization

Planned Features:

Status: 📝 Planned

Current: Local vector search (fast, free, good) Planned: Optional enhanced embeddings (slower, paid, higher quality)

Note: Existing local search remains the default (free). Enhanced embeddings are opt-in.

Status: 📝 Planned (already available as dashboard)

The existing dashboard already provides memory browsing, graph visualization, pattern dashboard, and profile management — all running locally.

Status: 📝 Planned

Current: Optimized for English Planned: Support for 20+ languages

Status: 📝 Planned

Expand pattern detection to include testing strategies, error handling patterns, logging preferences, documentation style, deployment strategies, and more.

Status: 📝 Planned

Current: Generic similarity edges Planned: Typed relationships (similar to, references, contradicts, supersedes, implements, caused by)

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Theme: Professional packaging and ecosystem expansion

Planned Features:

Status: 📝 Planned

Current: Works on Windows but requires manual setup Planned: Native Windows installer (MSI, PowerShell integration)

Status: 📝 Planned

• VS Code Extension: Memory search panel, quick commands
• JetBrains Plugin: IntelliJ IDEA, PyCharm, WebStorm

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Optional encrypted cloud sync for teams — end-to-end encrypted, user controls the keys, default remains local-only.

Git-like profile sharing for teams.

AI suggests what to remember based on your current context.

AI-generated compression for older memories.

Automatic recall of relevant memories based on what you're currently working on.

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Based on GitHub issues and discussions:

1. ✅ Multi-IDE support (Completed in v2.1.0)
2. 🔨 REST API (In progress, v2.2.0)
3. 📝 Docker container (Planned, v2.2.0)
4. 📝 Enhanced embeddings (Planned, v2.3.0)

Open an issue: https://github.com/qualixar/superlocalmemory/issues

Start a discussion: https://github.com/qualixar/superlocalmemory/discussions

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Easy issues (good first issues):

• Add shell completion for new commands
• Improve error messages
• Add unit tests
• Fix documentation typos

Medium issues:

• Implement new search methods
• Add new pattern categories
• Improve graph visualization export
• Add more IDE integrations

Hard issues:

• Implement incremental graph updates
• Build REST API server
• Multi-language support

See: CONTRIBUTING.md

Needed:

• Video tutorials
• Blog posts
• Translation to other languages
• Use case examples
• Integration guides

Needed:

• Test on different OS versions
• Test with large databases (10K+ memories)
• Edge case testing

Needed:

• Answer questions on GitHub Discussions
• Help troubleshoot issues
• Share tips and tricks
• Create example workflows

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As SuperLocalMemory grows, we commit to:

1. 100% Local-First — No required cloud dependencies, privacy is non-negotiable
2. Zero Cost Core — Core features always free, no premium tiers for basic functionality
3. Open Source — Source code always public, Elastic License 2.0 maintained
4. Backward Compatibility — No breaking changes without major version bump
5. Performance First — Fast operations, scales to 10K+ memories, minimal resource usage

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Cadence:

• Major releases: Quarterly (x.0.0)
• Minor releases: Monthly (x.x.0)
• Patch releases: As needed (x.x.x)

Communication:

• Release notes: GitHub Releases
• Breaking changes: 30 days notice minimum
• Deprecations: 90 days notice minimum

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• Quick Start Tutorial - Get started
• CHANGELOG - Detailed version history
• Comparison Deep Dive - vs other solutions
• Why Local Matters - Privacy philosophy
• CONTRIBUTING - How to contribute

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Questions about the roadmap?

Open a discussion: https://github.com/qualixar/superlocalmemory/discussions

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Created by Varun Pratap Bhardwaj Solution Architect • SuperLocalMemory

GitHub • Issues • Wiki