Recommend Resource: context-memory

[ErebusEnigma]

Display Name

context-memory

Category

Agent Skills

Sub-Category

General

Primary Link

https://github.com/ErebusEnigma/context-memory

Author Name

ErebusEnigma

Author Link

https://github.com/ErebusEnigma

License

MIT

Description

Persistent, searchable context storage across Claude Code sessions using SQLite + FTS5. Saves sessions with AI-generated structured summaries, topic extraction, and code snippet preservation. Two-tier full-text search returns results in under 50ms. Includes auto-save hooks, pre-compaction checkpoints, a web dashboard with analytics, and an MCP server for programmatic access. 364 tests across 12 modules, zero core dependencies, cross-platform.

Validate Claims

• 364 tests passing across 12 modules on Python 3.8, 3.11, and 3.12 via GitHub Actions CI
• Install with git clone https://github.com/ErebusEnigma/context-memory && cd context-memory && python install.py
• Test with /remember "test session" then /recall test to verify save/search round-trip
• Search performance can be verified by checking SQLite FTS5 query times in verbose mode

Specific Task(s)

Save a Claude Code session to persistent memory and search for it in a new session.

Specific Prompt(s)

1. In one session: /remember "Implemented user authentication with JWT"
2. In a new session: /recall authentication

Checklist

• I have read and understood the CONTRIBUTING.md guidelines
• The resource is directly related to Claude Code
• The resource is publicly accessible
• I have not submitted this resource before
• I am not affiliated with the resource (or have disclosed my affiliation)

[github-actions]

⚠️ This issue appears to be a resource recommendation

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