Live Demo

See it
in action.

Rent the LLM. Own the memory. The SuperLocalMemory 4.0 walkthrough uses the live local runtime, then separates product proof from protocol-scoped research evidence.

Watch the Demo

The SuperLocalMemory 4.0 live demo is in production.

The walkthrough will show the real local runtime: installation, memory write and recall, MCP, dashboard, governance, and operations.

SuperLocalMemory 4.0
Live walkthrough

We will publish the SuperLocalMemory 4.0 recording here after a full end-to-end run on the installed product. Until then, the interactive flows below show documented command surfaces; validate them against your installed release.

Interactive Demo

Pick a capability.

Three documented command flows. Click a tab to inspect the interaction, then validate the same command on your installed release.

superlocalmemory — interactive demo
Use Cases

Built for how you actually work.

Whether you're on a team, solo, or building agents — SLM slots into your workflow without friction.

01 · Engineering Teams

Engineering Teams

Persist architecture decisions, API contracts, and bug resolutions across sessions, then inspect what the next session actually recalls.

$ slm remember "API rate limit: 100 req/min per user, burst 200" ✓ Queryable → operation <opaque-id> · enrichment pending $ slm recall "API limits" ↓ rate: 100/min, burst: 200 · relevance and stored confidence reported separately
02 · Solo Developers

Solo Developers

Build a searchable memory of everything you've ever debugged, decided, or documented. Your personal engineering knowledge base.

$ slm recall "how did we fix the CORS issue last month?" ↓ Added Origin header allowlist in nginx.conf · inspect relevance and stored confidence fields
03 · AI Agent Pipelines

AI Agent Pipelines

Give autonomous agents persistent context that survives session boundaries through a local core memory path; optional providers and connectors are configured separately.

$ slm recall "current sprint goal" --json {"data": {"fact": "ship auth refactor by June 30", ...}}
Benchmark Results

Measured. Published. Reproducible.

Published V3 LoCoMo evidence is carried into V4 with its original evaluation scope disclosed beside every number.

74.8%
Mode A Retrieval
10 CONVERSATIONS · 1,276 QUESTIONS · GPT-4.1-MINI ANSWER SYNTHESIS
87.7%
Mode C cloud-assisted
81 QUESTIONS · CONV-30 · CLOUD EMBEDDINGS + GPT-4.1-MINI
Content-specific
Compression behavior
SAFE CODE/JSON PATHS MAY YIELD NO REDUCTION
$0
Cost per cache hit
EXACT-MATCH · SESSION TTL

LoCoMo is a long-context conversation memory benchmark. Results published in arXiv:2603.14588.

Quick-Start Configs

Explicit client configuration.

Three lines or fewer to connect SLM to your tool of choice. Copy, paste, done.

// .claude/settings.json "mcpServers": "superlocalmemory": "command": "slm", "args": ["mcp-server"]
// ~/.cursor/mcp.json "mcpServers": "superlocalmemory": "command": "slm", "args": ["mcp-server"]
# Add to ~/.zshrc or ~/.bashrc alias remember='slm remember' alias recall='slm recall' # Then just: remember "Alice owns the auth service" recall "who owns auth?"

Ready to try it?

One command to install. The core memory path is local by default; optional integrations may use the network.