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Works offline · Syncs when connected

Built for Real Engineering Workflows

OpenClaw-native, cross-device memory for real engineering workflows. Startup project briefs, delivery review, hybrid search, and shared team knowledge.

Packs give shared judgment a shape

Use packs to encode the lessons your sessions keep teaching you, then let Engrm reuse them across OpenClaw, Claude Code, Codex, and later work.

Delivery Review

Did it actually ship?

Pushes sessions and decisions toward the question developers care about most: what was promised, what evidence exists, and what still looks thin.

API Reliability

Keep public contracts stable

Build on reusable lessons around validation, pagination, error structure, and safer failure modes instead of rediscovering them under pressure.

Security Preflight

Catch auth and secret mistakes early

Turns repeated security lessons into standards that free users can install immediately and paid users can lean on more aggressively.

See all featured packs

Zero-config memory

Install in 30 seconds. Your agent starts every session with more than just vague memory.

1

Sign up & install

Create an account, paste the one-liner. Engrm writes your config, initialises the local database, and connects to your MCP agent.

2

Agent captures observations

As you work, Engrm hooks into your coding agent and automatically extracts discoveries, decisions, bugfixes, and patterns. No manual tagging needed.

3

Start with a project brief

Your agent begins with a compressed project brief: what was investigated, what was learned, what shipped, and what still needs checking.

4

Review delivery across devices & team

Engrm connects the brief, the decisions, and the later evidence of delivery so you can spot drift, partial delivery, and reopened work.

Agent MCP Server Local SQLite Sync Engine Candengo Vector
SQLite is source of truth · Sync outbox queues for push · Hybrid FTS5 + vec search

Built for real workflows

Offline-first, privacy-aware, and designed to make AI work reviewable instead of hand-wavy.

Startup project briefs

Each new session starts with a compact briefing: what was investigated, learned, completed, and what still needs attention.

Delivery Review

Track what the agent said it would do against the decisions, file changes, and follow-up work that actually happened.

OpenClaw-native memory

Works with OpenClaw, Claude Code, Cursor, Codex CLI, Windsurf, Cline, and any MCP-compatible agent. Same memory, any tool.

Privacy by default

Automatic secret scrubbing catches API keys, tokens, and credentials before they're stored. Sensitivity levels control what syncs.

Lifecycle management

Observations age, compact into digests, and eventually purge. No manual cleanup — your memory stays relevant automatically.

Team knowledge

Shared namespace means every team member's agent benefits from everyone's discoveries. Personal observations stay private.

Works with your agent

One MCP server. Every coding agent.

OpenClaw
Claude Code
Cursor
Codex CLI
Windsurf
Cline
Zed
VS Code Copilot

Built different

How Engrm compares to alternatives in the AI agent memory space.

Engrm claude-mem mem0 Cognee
Local search< 50ms~100ms~200ms+~500ms+
Offline support
Cross-device syncCloud only
Team sharingLimited
Multi-agent (MCP)Claude onlyAPILimited
Real-time auditSentinel
Self-hostedLocal only
Secret scrubbing
Semantic + keywordHybrid (RRF)Vector onlyProprietaryGraph
Free tier5K obs, 2 devicesLocal only1K calls/moOpen source

Local search latency

Lower is better. Measured on M-series Mac, 10K observations.

Engrm
< 50ms
claude-mem
~100ms
mem0
~200ms+ (cloud RTT)
Cognee
~500ms+ (graph)

Engrm uses SQLite FTS5 + sqlite-vec locally. No network round-trip required.

Why not...?

We get asked this a lot. Here's the honest answer.

Why not claude-mem?

Single-machine only, no cross-device sync, no team sharing, Claude-only. AGPL license restricts commercial use. Engrm is offline-first with full sync, any MCP agent, and Fair Source licensed (FSL-1.1-ALv2).

Why not mem0?

Cloud-only with no offline support. Proprietary search you can't self-host. Limited team features. Engrm works on a plane and lets you own your data.

Why not CLAUDE.md files?

Static, manual, one file per project. No search, no cross-device, no team sync. Engrm captures automatically and surfaces the right context at the right time.

Why not CodeRabbit / Qodo?

They review PRs after code is written. Sentinel blocks violations before they happen. They're stateless; Engrm remembers your team's past decisions and learns from every review.

Ready to give your AI agent a memory?

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