# Roadmap

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

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## Version History

### ✅ v2.5.0 (2026-02-12)

**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](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) for full details.

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### ✅ v2.4.1 (2026-02-11)

**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](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) for full details.

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### ✅ v2.4.0 (2026-02-11)

**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](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) for full details.

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### ✅ v2.3.5–v2.3.7 (2026-02-08–09)

**Patch Releases: ChatGPT Connector, SessionStart Hook, Smart Truncation**

See [CHANGELOG.md](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) for details.

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### ✅ v2.1.0-universal (2026-02-07)

**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](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) for full details.

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### ✅ v2.0.0 (2026-02-05)

**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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### ✅ v2.7.0 (2026-02-16) - Current

**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](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) for full details.

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### ✅ v2.6.5 (2026-02-16)

**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](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) for full details.

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## Planned Releases

### v2.2.0 (Q2 2026) - Performance & Automation

**Theme:** Incremental updates and automation

**Planned Features:**

#### 1. Incremental Graph Updates
**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

#### 2. Auto-Compression
**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.

#### 3. REST API Server
**Status:** 📝 Planned

**Purpose:** HTTP API for language-agnostic access

**Still 100% local** (binds to localhost only)

#### 4. Docker Container
**Status:** 📝 Planned

**Benefits:**
- One-command deployment
- Isolated environment
- Easy team sharing

#### 5. Performance Dashboard
**Status:** 📝 Planned

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

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### v2.3.0 (Q3 2026) - Advanced Features

**Theme:** AI integrations and visualization

**Planned Features:**

#### 1. Optional Neural Embeddings
**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.

#### 2. Local Web UI
**Status:** 📝 Planned (already available as dashboard)

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

#### 3. Multi-Language Support
**Status:** 📝 Planned

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

#### 4. Additional Pattern Categories
**Status:** 📝 Planned

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

#### 5. Typed Memory Relationships
**Status:** 📝 Planned

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

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### v3.0.0 (Q4 2026) - Distribution & Ecosystem

**Theme:** Professional packaging and ecosystem expansion

**Planned Features:**

#### 1. Native Windows Installer
**Status:** 📝 Planned

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

#### 2. IDE Extensions
**Status:** 📝 Planned

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

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## Long-Term Vision (2027+)

### Collaborative Features

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

#### Shared Profiles
Git-like profile sharing for teams.

### AI Enhancements

#### Memory Suggestions
AI suggests what to remember based on your current context.

#### Smart Summarization
AI-generated compression for older memories.

#### Context-Aware Recall
Automatic recall of relevant memories based on what you're currently working on.

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## Community Requests

### Top Requested Features

**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)
5. 📝 **Enhanced embeddings** (Planned, v2.3.0)

### How to Request Features

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

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

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## Contribution Opportunities

### How to Contribute

#### 1. Code Contributions

**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](https://github.com/qualixar/superlocalmemory/blob/main/CONTRIBUTING.md)

#### 2. Documentation

**Needed:**
- Video tutorials
- Blog posts
- Translation to other languages
- Use case examples
- Integration guides

#### 3. Testing

**Needed:**
- Test on different OS versions
- Test with large databases (10K+ memories)
- Edge case testing

#### 4. Community

**Needed:**
- Answer questions on GitHub Discussions
- Help troubleshoot issues
- Share tips and tricks
- Create example workflows

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## Development Principles

**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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## Release Schedule

**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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## Related Pages

- [Quick Start Tutorial](Quick-Start-Tutorial) - Get started
- [CHANGELOG](https://github.com/qualixar/superlocalmemory/blob/main/CHANGELOG.md) - Detailed version history
- [Comparison Deep Dive](Comparison-Deep-Dive) - vs other solutions
- [Why Local Matters](Why-Local-Matters) - Privacy philosophy
- [CONTRIBUTING](https://github.com/qualixar/superlocalmemory/blob/main/CONTRIBUTING.md) - 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](https://github.com/qualixar/superlocalmemory) • [Issues](https://github.com/qualixar/superlocalmemory/issues) • [Wiki](https://github.com/qualixar/superlocalmemory/wiki)
