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Up to 4 tools, same rows for each: what it is, what it really costs, the trap, and how to wire it up. The URL carries your picks — send it to anyone.
claude-memgraphify
Quick read
- Editor's pick: claude-mem.
| Field | claude-memgithub.com | graphifygithub.com |
|---|---|---|
| What it is | Captures what the agent does via hooks, compresses events into semantic summaries, stores them in SQLite with FTS5 plus a Chroma vector DB, and injects the relevant slice into future sessions. Progressive disclosure: search returns a ~50–100 token index before you fetch detail. ~91k stars. | Turns a mixed corpus — code, docs, SQL schemas, configs, PDFs, images — into a queryable knowledge graph. Code extraction is deterministic and local; only prose and images route through Claude. Every edge is labeled EXTRACTED, INFERRED or AMBIGUOUS. Outputs graph.json, an interactive HTML visualization, a report and an Obsidian vault. ~107k stars. |
| Category | Memory & context | Memory & context |
| Cost tier | free | free |
| Pricing | Free · Apache-2.0 | Free |
| Why builders pick it | Runs with no intervention after install, which is why it beats a manual notes file. Content wrapped in <private> tags is excluded from storage. | The mixed-corpus part is your project angle — it will ingest editorial PDFs, style guides and back-issue docs alongside the code, not just source files. The --wiki export produces agent-navigable markdown grouped by concept. |
| Watch out for | not logged | not logged |
| How to wire it up | npx claude-mem install | uv tool install graphifyy |
| Editor's pick | Yes | No |
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# Tool comparison — claude-mem vs graphify Source: Kbaise, a directory of tools that work with Lovable projects. Pick one and tell me why before writing any integration code. ## claude-mem (claude-mem) - URL: https://github.com/thedotmack/claude-mem - Category: Memory & context - Cost: free — Free · Apache-2.0 - What it is: Captures what the agent does via hooks, compresses events into semantic summaries, stores them in SQLite with FTS5 plus a Chroma vector DB, and injects the relevant slice into future sessions. Progressive disclosure: search returns a ~50–100 token index before you fetch detail. ~91k stars. - Why builders pick it: Runs with no intervention after install, which is why it beats a manual notes file. Content wrapped in <private> tags is excluded from storage. - Wiring: npx claude-mem install - Full dossier: /api/public/tools/claude-mem ## graphify (graphify) - URL: https://github.com/Graphify-Labs/graphify - Category: Memory & context - Cost: free — Free - What it is: Turns a mixed corpus — code, docs, SQL schemas, configs, PDFs, images — into a queryable knowledge graph. Code extraction is deterministic and local; only prose and images route through Claude. Every edge is labeled EXTRACTED, INFERRED or AMBIGUOUS. Outputs graph.json, an interactive HTML visualization, a report and an Obsidian vault. ~107k stars. - Why builders pick it: The mixed-corpus part is your project angle — it will ingest editorial PDFs, style guides and back-issue docs alongside the code, not just source files. The --wiki export produces agent-navigable markdown grouped by concept. - Wiring: uv tool install graphifyy - Full dossier: /api/public/tools/graphify ## Quick read - Editor's pick: claude-mem. ## Rules 1. Prefer the free tier when no budget was stated, and say what the ceiling is. 2. Read the full dossier before integrating. 3. Fetch /api/public/models before writing any AI model ID.
Agents can fetch the same thing: GET /api/public/compare?slugs=claude-mem,graphify