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Builderforce Memory

Token-saving persistent memory for AI agents: recall durable facts instead of re-reading files.

Connector by SeanHogg · GitHub account verified by the MCP Registry

IndexedLicense unknownLocal (stdio)★ 3
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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/seanhogg-builderforce-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.

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About

Token-saving persistent memory for AI agents: recall durable facts instead of re-reading files.

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, install config and code. Checked Oct 25, 2026.

Tools
3 read · 1 write · 1 delete · 4 not yet classified
Secrets
1 (API keys, tokens or passwords)
Install scripts
None found
Runs as
Node.js package

Tools by what they do 9

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

Read 3 · Look things up without changing anything.

  • memory_get
  • memory_recall
  • memory_recall_by_tag

Write 1 · Create, change, send or run things.

  • memory_restore

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

  • memory_forget

Not yet classified 4 · We could not tell from the name and description.

  • memory_compact
  • memory_remember
  • model_efficiency
  • token_usage

Secrets and settings it asks for

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

  • BUILDERFORCE_API_KEY

Other settings (environment variables or headers).

  • BUILDERFORCE_MEMORY_FILE
  • BUILDERFORCE_MEMORY_READONLY

Network hosts it talks to 3

  • api.builderforce.ai · found in code
  • builderforce.ai · found in code
  • github.com · found in code

Files it touches

  • Your home directory (~)

Tools (9)

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

  • memory_compact

    Shrink memories that have already been absorbed into the local Evermind model down to a one-line pointer stub, reclaiming the context they were eating. Each fact is first checked with a recall question put to the model; facts it cannot answer stay as they are. The full original is archived and memory_recall / memory_get still return it, so nothing is lost. Already-compacted keys are skipped, so repeating the call is safe.

  • memory_forget

    Delete a memory by key. Use to remove a fact that is now wrong or obsolete.

  • memory_get

    Fetch a single memory by its exact key. Use when you already know the key (e.g. one surfaced by memory_recall) and want its full, untruncated value.

  • memory_recall

    Semantically recall the most relevant stored memories for a query. Call this BEFORE answering whenever the task may depend on prior context, user preferences, project decisions, or facts learned in earlier sessions — instead of assuming that context is already in your prompt. Returns a small ranked set, not the whole store.

  • memory_recall_by_tag

    List memories carrying a given tag (e.g. 'user', 'project', 'decision'). Use to pull a known category of context rather than searching semantically.

  • memory_remember

    Persist a fact for future sessions. Call when you learn something durable and reusable: a user preference, a project constraint, a decision and its rationale. Keep keys stable and descriptive (e.g. 'user.preferred-language') so the same fact overwrites rather than duplicating.

  • memory_restore

    Restore the full text of memories marked '(content lost)' — compaction stubs whose original was never kept — from an export. Accepts [{key, content}] (a memory export) or the Evermind coordinator's [{id, text}] record dump; records are matched by key, else by their first line against the stub. Restored memories recall in full again.

  • model_efficiency

    Which models performed best/cheapest for this workspace's recent work.

  • token_usage

    Current token spend + budget for the workspace (today).

Signals

Stars
3
Forks
0
Open issues
0
Last commit (this folder)
Oct 23, 2026 (6 days ago)
Last release
Oct 25, 2026 (4 days ago)

From GitHub (fetched Oct 24, 2026).

Details

Registry name
io.github.SeanHogg/builderforce-memory
Version
2026.10.26
Auth
API key
License
License unknown
First seen
Oct 24, 2026
Last checked
Oct 26, 2026

More from SeanHogg

Cite this page

Builderforce Memory MCP server. Agent Mart. https://agentmart.dev/connectors/seanhogg-builderforce-memory (last updated 2026-10-26)