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mcp/skillhub

feedback-memory MCP Server

by ssap-paio.github.ssap-pa/feedback-memoryv0.2.1

Remembers why you approved, edited or rejected your agent's drafts; recalls the closest corrections

0stdioofficial registry

context tax

queued

security

queued

cold start

queued

freshness

Active6d ago

Install feedback-memory MCP server

No published package or hosted endpoint yet — see the repository README for build-from-source instructions.

Configuration

VariableRequiredSecretDescription
OPENAI_API_KEY—yesOptional. Match by meaning (text-embedding-3-small); empty means offline word hashing
FEEDBACK_MEMORY_DIR——Where the database lives (default ~/.feedback-memory)

Freshness

Active — last maintenance signal 6d ago. The newest of the signals below sets the band.

  1. Last commit (default branch)

    2026-10-03 · 6d ago · GitHub

  2. Latest release

    2026-10-02 · 8d ago · GitHub · v0.2.1

  3. Package published

    no data · npm/PyPI

  4. Registry entry updated

    2026-10-02 · 8d ago · official registry · v0.2.1

FAQ

›Does feedback-memory require an API key?

Yes. It expects OPENAI_API_KEY, of which 1 is a secret.

›Can I use feedback-memory as a remote (hosted) MCP server?

No hosted endpoint is published; it runs locally over stdio.

›Is feedback-memory in the official MCP registry?

Yes, as io.github.ssap-pa/feedback-memory.

Alternatives to feedback-memory

Other memory MCP servers.

View all
MemoryActiveKnowledge graph-based persistent memory for maintaining context.HindsightActiveHindsight: long-term memory for AI agents modeled on human memory.Codebase MemoryActiveIndexes a repo into a persistent local knowledge graph of functions, classes, call chains, HTTP routes and cross-service links, using tree-sitter and LSP.CogneeActiveMemory manager for AI apps and agents using graph and vector stores, with ingestion from many data sources.HonchoActiveMemory that reasons: continual learning for stateful agents. Better context, fewer tokens.Basic MemoryActiveLocal-first AI memory: a semantic knowledge graph of Markdown files that humans and LLMs both read and write, with optional cloud sync and team workspaces.