sdsrss/claude-mem-lite — Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and conte…

Description and use

**Brief summary**
sdsrss/claude‑mem‑lite provides a lightweight, persistent long‑term memory layer for Claude Code agents, storing coding decisions, bug‑fixes and contextual information in a single SQLite database. It combines full‑text search (FTS5) with TF‑IDF‑based relevance scoring and episode batching, delivering the same capabilities as the original claude‑mem at roughly 1/600 of the cost and without any external services.

**Value**
The library turns ad‑hoc Claude prompts and tool calls into repeatable, stateful workflows, enabling multi‑agent coordination, tool‑use pipelines, and standardized agent memory across sessions. By keeping all data locally in SQLite, it eliminates network latency, reduces operational overhead, and offers developers full control over privacy and security while still delivering fast, relevance‑aware retrieval.

**Practical adoption path**

1. **Prototype** – Clone the repo, install the JavaScript package, and run the provided CLI or SDK examples to connect your Claude Code agent to the SQLite store.
2. **Integration** – Replace the default stateless prompt handling in your agent code with the memLite API (e.g., addEpisode, searchEpisodes). Adjust the episode‑batch size or TF‑IDF weighting to match your domain.
3. **Testing** – Validate retrieval quality on a representative code‑base, and benchmark cost vs. the full claude‑mem solution.
4. **Production hardening** – Containerize the SQLite DB, set up regular backups, and audit the license and dependency tree. Add monitoring for DB size and query latency before rolling out to production.

**Production readiness**
The project is at a *medium* readiness level: it is functional, actively maintained (last commit 2026‑06‑23), and has modest community interest (47 stars, 3 forks). It is suitable for prototypes, internal tools, or low‑to‑moderate traffic services, but production deployments should first address:

• **Dependency & security review** – verify third‑party packages and confirm no known vulnerabilities.
• **License compliance** – ensure the repository’s license aligns with your organization’s policies.
• **Operational concerns** – plan for SQLite scaling limits, backup/restore procedures, and monitoring.

Once these checks are completed, claude‑mem‑lite can be safely promoted to production for cost‑effective, on‑premise agent memory.

Problem

sdsrss/claude-mem-lite helps turn isolated prompts and tools into repeatable agent workflows.

Outcome

Medium: useful for prototypes or internal workflows, with dependency and maintenance checks before production.

Workflow

• coordinate multi-agent workflows
• add tool-use pipelines
• standardize agent memory

Evidence

Persistent long-term memory for Claude Code via MCP — captures coding decisions, bugfixes, and context across sessions. Hybrid FTS5 + TF-IDF search with episode batching. Single SQLite DB, no external services. Alternative to claude-mem with 600x lower cost.

Source