Engram

Hierarchical memory for AI agents.

Connector by kael-bit · GitHub account verified by the MCP Registry

IndexedMITLocal (stdio)★ 28

Chalk Labs

Need help deploying Engram?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Codex, VS Code, Cursor, Windsurf, Claude Desktop. Read the repository before you give any tool access to your data.

npx agentmarket install connector/kael-bit-engram

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

About

Hierarchical memory for AI agents. Three-layer (buffer/working/core) with decay and promotion.

Reviews

Write a review

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this server can do and what it asks for, from its tool list and install config. Checked Oct 25, 2026.

Tools: 7 read · 5 write · 1 delete · 3 not yet classified
Secrets: 1 (API keys, tokens or passwords)
Install scripts: Not scanned yet
Runs as: Node.js package

Tools by what they do 16

Read from the source code; the running server may list different tools.

Read 7 · Look things up without changing anything.

engram_extract
engram_health
engram_recall
engram_recent
engram_search
engram_stats
engram_trash

Write 5 · Create, change, send or run things.

engram_consolidate
engram_restore
engram_store
engram_triggers
engram_update

Delete 1 · Delete, drop, revoke or wipe things.

engram_delete

Not yet classified 3 · We could not tell from the name and description.

engram_repair
engram_resume
engram_topic

Secrets and settings it asks for

Secrets: values you paste in that let it act as you.

ENGRAM_API_KEY

Other settings (environment variables or headers).

ENGRAM_URL

Files it touches

Any path the agent passes to its tools

Tools (16)

Read from the source code; the running server may differ. Descriptions are the server’s own words; hidden characters are shown as [U+…].

engram_consolidate
Run a memory consolidation cycle. Promotes important memories upward, drops decayed entries. With merge=true, uses LLM to merge similar memories.
engram_delete
Delete a memory by ID. Use when a memory is outdated, incorrect, or redundant.
engram_extract
Extract structured memories from raw text using LLM. Feed conversation logs or notes and get individual memories.
engram_health
Detailed health check: uptime, RSS memory, embed cache stats, AI config status.
engram_recall
Hybrid semantic + keyword search with budget-aware retrieval. Fast by default (~30ms cached, ~1s first query). Optional expand adds LLM query expansion (+1-2s) — only use for short/vague queries.
engram_recent
List recent memories by creation time. Good for session context recovery.
engram_repair
Repair FTS search index. Removes orphaned entries and rebuilds missing ones. Safe to run anytime — idempotent.
engram_restore
Restore a soft-deleted memory from trash back to its original layer.
engram_resume
Full memory bootstrap for session recovery. Returns core (permanent knowledge), working (ongoing context/decisions), buffer (transient), recent activity, and session notes. Use workspace tags to filter by current work context. Compact mode (default) minimizes token usage.
engram_search
Quick keyword search. Lighter than recall — no scoring or budget logic.
engram_stats
Get memory statistics: counts per layer, AI status, version.
engram_store
Store a memory. All memories start in Buffer and promote to Working/Core through access frequency and LLM quality gating. Procedural memories and lessons (tag=lesson) auto-promote to Working after 2h. Use supersedes to replace outdated memories by their ids.
engram_topic
Drill into topic clusters by ID. Use after /resume to explore specific topics from the knowledge index.
engram_trash
List soft-deleted memories. Recently deleted items can be restored.
engram_triggers
Fetch trigger memories for a specific action. Call before performing an action (e.g. git-push, deploy) to recall relevant lessons and rules.

Show 1 more tools

engram_update
Update a memory's content, metadata (importance, tags, layer, kind). Use supersedes on store to replace with history.

Signals

Stars: 28
Forks: 4
Open issues: 0
Contributors: 1
Last commit: Mar 2, 2026 (8 months ago)
Last release: Mar 3, 2026 (8 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name: io.github.kael-bit/engram
Version: 0.10.0
Auth: API key
Packages: npm engram-rs-mcp
License: MIT
Repository: github.com/kael-bit/engram-rs
First seen: Oct 24, 2026
Last checked: Oct 24, 2026
Source: Official MCP Registry github-graphql

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped: 50+; launches shipped
media placements: 500+; media placements
founders on every account: 2; founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get Engram running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Need help deploying Engram?

Call Get help

Cite this page

Engram MCP server. Agent Mart. https://agentmart.dev/connectors/kael-bit-engram (last updated 2026-10-24)