Skip to content
Agentmart
Submit a tool

Cognitive AI Memory

Ebbinghaus-based persistent memory for Claude.

Connector by sachitrafa · GitHub account verified by the MCP Registry

IndexedLicense unknownLocal (stdio)★ 270
Write a review

Chalk Labs

Need help deploying Cognitive AI Memory?

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/sachitrafa-cognitive-ai-memory

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.

We use your email only for this newsletter. Privacy

About

Ebbinghaus-based persistent memory for Claude. Memories decay with time, strengthen on recall.

Use cases: agent-memory

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
3 read · 2 write · 0 delete
Secrets
None asked for
Install scripts
Not scanned yet
Runs as
Docker image

Tools by what they do 5

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

Read 3 · Look things up without changing anything.

  • memory_get
  • memory_search
  • recall_memory

Write 2 · Create, change, send or run things.

  • store_memory
  • update_memory

Secrets and settings it asks for

Other settings (environment variables or headers).

  • DATABASE_URL
  • EXTRACT_MODEL
  • OLLAMA_URL

Tools (5)

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

  • memory_get

    Stage 2 of two-stage recall. Returns the FULL content of one memory PLUS its connected graph neighbourhood (related facts) — the 'connected region'. Use after memory_search to pull depth on demand without re-reading files.

  • memory_search

    Stage 1 of two-stage recall (progressive disclosure). Returns a COMPACT index of relevant memories (id + short summary + score) — cheap to scan. Use this first, then call memory_get on the IDs you want, instead of re-reading source files.

  • recall_memory

    Retrieve memories relevant to a query. Retrieve relevant memories about the user's preferences, past instructions, and known facts. Call this when persistent context would help answer the current request. Returns a list of memories with their IDs.

  • store_memory

    Store a new memory about the user. Use when you learn a new fact, preference, instruction, past failure, or successful strategy. Does not conflict with any memory returned by recall_memory.

  • update_memory

    Merge or replace an existing memory by its ID. Use when a recalled memory is outdated (replace) or when new info adds detail to an existing memory (merge — write the combined sentence as new_content).

Signals

Stars
270
Forks
21
Open issues
1
Contributors
3
Last commit
Jul 14, 2026 (3 months ago)
Last release
May 25, 2026 (5 months ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.sachitrafa/cognitive-ai-memory
Version
1.0.2
Auth
No auth
Packages
oci ghcr.io/your-memory/cognitive-ai-memory:1.0.2
License
License unknown
Repository
github.com/sachitrafa/cognitive-ai-memory
First seen
Oct 24, 2026
Last checked
Oct 24, 2026
Source
Official MCP Registrygithub-graphql

More from sachitrafa

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 Cognitive AI Memory 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.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying Cognitive AI Memory?

CallGet help
Cite this page

Cognitive AI Memory MCP server. Agent Mart. https://agentmart.dev/connectors/sachitrafa-cognitive-ai-memory (last updated 2026-10-24)