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buildingjoshbetter

buildingjoshbetter/TrueMemory

PythonAGPL-3.0activerising
88Health

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

Stars259
Forks33
Open Issues13
Contributors33
Last Push0d ago

Health Breakdown

Activity
25
Community
25
Maintenance
13
Popularity
25
#agent-memory#ai#ai-agent#ai-agents#ai-memory#anthropic#claude#claude-code#developer-tools#embeddings#generative-ai#llm#mcp#mcp-server#model-context-protocol#python#rag#semantic-search#sqlite#vector-search
View on GitHub ↗Issues (13) ↗Pull Requests ↗Wiki ↗

Should you contribute to buildingjoshbetter/TrueMemory?

buildingjoshbetter/TrueMemory has a FoundDev health score of 88/100, which puts it in the active-and-maintained tier. The maintainer team is shipping recently, issues are being closed, and a PR you open this week has a realistic chance of being reviewed.

Last push was 0 days ago — that signals an actively maintained project. New issues are likely to get a maintainer response within days. The project is written primarily in Python, so prior Python experience will shorten ramp-up.

Licensed under AGPL-3.0, a standard OSI-approved license — safe to contribute to under normal employer IP policies.

Community

buildingjoshbetter88

The memory your AI should have had from the start. Automatic capture, automatic recall, 100% local. One SQLite file, zero cloud. Works with Claude Code, Claude CLI, Cursor, Codex CLI, Gemini CLI.

activerising
25933 contributors13 issues
0d ago

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