# mentisdb

> Memory that lasts and compounds. MentisDB gives agents durable memory so they do not just remember, they improve over time. It stores append-only thought chains   plus a Git-like skills registry, lett

- **URL**: https://www.freshcrate.ai/projects/mentisdb
- **Author**: CloudLLM-ai
- **Category**: AI Agents
- **Latest version**: `0.10.1.46` (2026-06-05)
- **License**: MIT
- **Source**: https://github.com/CloudLLM-ai/mentisdb
- **Homepage**: https://mentisdb.com
- **Language**: Rust
- **GitHub**: 64 stars, 6 forks
- **Registry**: github
- **Tags**: `ai`, `ai-agents`, `claude`, `codex`, `copilot`, `infinite-memory`, `openai`, `openrouter`, `rust`

## Description

Memory that lasts and compounds. MentisDB gives agents durable memory so they do not just remember, they improve over time. It stores append-only thought chains   plus a Git-like skills registry, letting skills evolve with experience through versioned, integrity-checked updates and fast retrieval.

## Recent releases

| Version | Date | Urgency | Changes |
| --- | --- | --- | --- |
| `0.10.1.46` | 2026-06-05 | High | # MentisDB 0.10.1.46 — Built-in Bearer Token Auth, TLS Cert CLI, and Search-First Discipline  This release is a security and operational milestone: **built-in bearer-token authentication** for remote MCP servers, a **`mentisdb cert` CLI** for TLS certificate management, and a **search-first discipline** baked into the agent skill file. Together these changes make it practical to run MentisDB on a non-loopback interface — the missing piece for production HTTPS MCP / REST deployments.  ## Bearer T |
| `0.9.9.45` | 2026-05-30 | High | # MentisDB 0.9.9 — Thesaurus on by Default  The big advance in 0.9.9 is that the static thesaurus (≈900 headwords + 300+ irregular verb lemmas) now applies **automatically by default** to every ranked search query — REST, MCP, dashboard, CLI, and the official benchmarks.  No extra parameters. No client changes. Just better recall on vocabulary mismatch and verb forms out of the box.  ## The Numbers  \| Benchmark          \| Metric \| Result   \| Notes \| \|--------------------\|--------\|----------\|---- |
| `0.9.8.44` | 2026-05-07 | High | ## MentisDB 0.9.8.44 — Binary Rename, Dashboard Settings, and Dotenvy  ### Breaking Change The installed binary is now `mentisdb`, not `mentisdbd`. All documentation, CI artifacts, install scripts, and TUI references have been updated. `cargo install mentisdb` still installs the crate, but the resulting binary is `mentisdb` (no trailing `d`).  ### What's New - **Dashboard chain sizes** — The Chains table now shows a "Size" column with human-readable on-disk storage (B, KB, MB, GB, TB, PB). A sum |
| `0.9.7.43` | 2026-04-30 | High | # MentisDB 0.9.7.43 - Dashboard Skill Editing and Stdio Reliability  MentisDB 0.9.7.43 makes the web dashboard a safer place to maintain skills and tightens stdio mode for strict MCP clients.  ## Highlights  - Dashboard skill editing is available from both the Skills table and each skill detail page. - Saving an edit creates a new immutable skill version through the existing upload path. - Skill detail editing now defaults to the latest version and edits the version currently being viewed. - Ren |
| `0.9.6.42` | 2026-04-28 | High | ## MentisDB 0.9.6.42 — SSE, bind_host, Agent-Scoped Context  ### MCP SSE Streaming  `start_mcp_server` and `start_https_mcp_server` now return `(ServerHandle, SseBroadcaster)` tuples. The GET endpoint serves `text/event-stream` with live MCP protocol events — every tool call result and error is broadcast in real time. `cloudllm_mcp` bumped to 0.3.0.  - Dashboard widgets can subscribe to live thought events without polling - Agent frameworks with SSE support (Hermes, OpenClaw) get real-time proto |
| `0.9.4.40` | 2026-04-23 | High | ## MentisDB 0.9.4.40 — 99% Faster Ranked Search, Dashboard Instant Load, Read Sounds  ### Incremental LexicalIndex  Ranked search queries no longer rebuild the full BM25 index on every call. The `LexicalIndex` is built once at chain open time and updated incrementally on every `append_thought`.  \| Benchmark \| Before \| After \| Improvement \| \|-----------\|--------\|-------\|-------------\| \| `query_ranked_lexical_content` \| ~35.4 ms \| ~237 µs \| **99.3%** \| \| `query_ranked_filtered_lexical` \| ~35.2 ms |
| `0.9.3.39` | 2026-04-18 | High | ## MentisDB 0.9.3.39 — Full TUI with Drag-to-Copy, Seamless Startup, and Live Log Streaming  > Full post: https://github.com/CloudLLM-ai/mentisdb/blob/master/docs/mentisdb-0.9.3.39.html  0.9.3.39 ships the ratatui terminal UI that was always planned for `mentisdbd`: a live three-pane dashboard with real-time log streaming, a tabbed registry for all your chains, agents, and skills, and a one-click agent primer. Along the way, we fixed a collection of bugs that made the TUI unreliable — a silent s |
| `0.9.2.38` | 2026-04-18 | High | # MentisDB 0.9.2.38 — Smart Stdio MCP, Shared Service State, and Reproducible Benchmarks  Released April 17, 2026. Cargo version `0.9.2`, git tag `0.9.2.38`.  This is a correctness release. Two fixes close long-standing integration gaps that were easy to miss and expensive to debug: stdio MCP clients no longer need a pre-launched daemon, and the multi-surface server no longer splits brain across HTTP, HTTPS, MCP, REST, and the dashboard. Benchmarks are now reproducible bit-identical across full- |
| `0.9.1.37` | 2026-04-14 | High | # MentisDB 0.9.1 — The 0.9.x Journey: From Competitive Analysis to 74% R@10  **Four days after our April 10 competitive analysis, 11 releases later: 74.0% R@10 on the full 10-persona LoCoMo benchmark (1977 queries), every feature gap closed, federated cross-chain search, pymentisdb on PyPI, and a complete competitive update covering Hindsight, Cognee, LangMem, and more.**  ---  ## Benchmark Results  LoCoMo 10-Persona — 1,977 queries across 10 persona × ~197 sessions:  \| Metric \| Score \| \|------- |
| `pymentisdb-v0.9.0` | 2026-04-14 | Medium | Release pymentisdb-v0.9.0 |

## Citation

- HTML: https://www.freshcrate.ai/projects/mentisdb
- Markdown: https://www.freshcrate.ai/projects/mentisdb.md
- Dependencies JSON: https://www.freshcrate.ai/api/projects/mentisdb/deps

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