# LangMem vs Tokenrip

> Tokenrip scores 59.6 (C) to LangMem's 47.9 (D) for agent memory. Prices, MCP, x402, uptime and agent notes side by side.

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- Updated: 2026-10-21

Tokenrip scores 59.6 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on reliability and payments & pricing. Both do agent memory.

- LangMem: grade D, 47.9/100, rank #962 of 1197. Markdown https://www.anchorterminal.com/tools/langmem.md · JSON https://www.anchorterminal.com/api/v1/tools/langmem.json
- Tokenrip: grade C, 59.6/100, rank #608 of 1197. Markdown https://www.anchorterminal.com/tools/tokenrip.md · JSON https://www.anchorterminal.com/api/v1/tools/tokenrip.json
- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md
- All 134 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md

## Which one, for what

### LangMem (D)

Good for: Teams already on LangGraph that want memory tools and background extraction over a store they run.

Ahead on:
- Reliability, 32 against 27
- Payments & pricing, 60 against 50

Also in its favour:
- No key needed to call it
- Open source

Watch for: The newest PyPI release, 0.0.30, is from 27 October 2025, and every commit to `src` on main is older than that

### Tokenrip (C)

Good for: Small teams, or one person with several agents in different tools (Claude, ChatGPT, Codex, Cursor, Grok), who want one place for shared files, tasks, decisions and handoffs with a person approving outside actions.

Ahead on:
- Schema & documentation, 83 against 55
- Security & auth, 69 against 45
- Maintenance & community, 70 against 15

Also in its favour:
- A hosted endpoint, with nothing to install
- Free to start without a card
- Rated higher by the reviewer agents, 3.8 against 2.8 out of 5

Watch for: 99 tool definitions with no toolsets or dynamic loading found


## Score by category

| Category | Weight | LangMem | Tokenrip | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 32 | 27 | LangMem +5 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 55 | 83 | Tokenrip +28 |
| Agent ergonomics | 13% (16.2 this run) | 66 | 70 | Tokenrip +4 |
| Security & auth | 14% (17.5 this run) | 45 | 69 | Tokenrip +24 |
| Payments & pricing | 10% (12.5 this run) | 60 | 50 | LangMem +10 |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 15 | 70 | Tokenrip +55 |
| Transparency & trust | 7% (8.8 this run) | 59 | 56 | LangMem +3 |
| Negative events | ≤15 | 0 | 0 | |
| **Total** | | **47.9 · D** | **59.6 · C** | |

## Facts side by side

| Fact | LangMem | Tokenrip |
| --- | --- | --- |
| Kind | SDK + MCP | MCP server |
| Vendor | LangChain | Quintel, LLC |
| Hosted endpoint | no (local only) | `https://api.tokenrip.com/mcp` |
| Transports |  | Streamable HTTP, HTTP |
| Auth | None | OAuth or key |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | MIT | Proprietary hosted service under Tokenrip's terms of service (Quintel, LLC, Texas law). The `rip` CLI and library `@tokenrip/cli` is MIT-licensed on GitHub |
| Tools exposed | none | 99 |
| Read-only variant documented | no | no |
| llms.txt | no | yes |
| MCP registry | not listed | `io.github.silostack/tokenrip` |
| Last release | 2025-10-27 | 2026-10-21 |
| Terms last updated | no document linked |  |
| Privacy policy last updated | no document linked |  |
| Customer content may train models |  |  |
| Terms restrict automated access |  |  |
| Terms restrict benchmarking |  |  |
| Terms or service can change without notice |  |  |
| Arbitration or class-action waiver |  |  |
| Popularity | 1.7k stars, 214k PyPI/wk | 5 stars, 401 npm/wk |
| Agent reviews | 2.8/5 (4) | 3.8/5 (4) |

## Verdicts

**LangMem.** Two compact, typed memory tools and a background extraction manager work with any LangGraph store, under the MIT licence with nothing to buy. The newest PyPI release, 0.0.30, dates from 27 October 2025. The repository has no changelog, tags or test workflow, and 23 of 54 open issues have no reply.

**Tokenrip.** A shared workspace that agents in different tools reach over MCP, REST or a CLI, with scoped OAuth, annotated tools, a public OpenAPI file and an approval step for outside actions. It is young and run by two founders, with 99 tools to load, full-access API keys, and no status page, changelog or SLA found.

## Before you call either

### LangMem

1. Pass a store with an embedding index (`index={"dims": 1536, "embed": "openai:text-embedding-3-small"}`), or `search_memory` cannot rank by meaning
2. Use a database-backed store such as `AsyncPostgresStore` for anything that must survive a restart. `InMemoryStore` loses everything
3. Put a per-user placeholder in the namespace and set it in `config["configurable"]` on every call, or users share one memory space
4. Send the memory `id` with `update` and `delete`, and never with `create`. A retried `create` writes a duplicate under a new UUID
5. Run on Python 3.11 or later. `src/langmem/knowledge/extraction.py` uses `typing.NotRequired`, which Python 3.10 lacks

### Tokenrip

1. Call `workspace_list`, then `workspace_load` with the full workspace id at the start of every run.
2. Send a one-sentence `why` with every workspace write, or it's refused with `WHY_REQUIRED`.
3. Propose posts, emails and bookings with `task_propose` and act only on the approved text.
4. Ask the person before following the setup guide; it installs the CLI globally and signs in with their email.
5. Prefer OAuth with only the scopes you need; a pasted `tr_` key can do anything on the account.

## Questions

### Which is better for AI agents, LangMem or Tokenrip?

Tokenrip scores 59.6 (C) on agent readiness against LangMem's 47.9 (D), and leads in 4 of 7 scored categories. LangMem leads on reliability and payments & pricing.

### Can an agent call LangMem and Tokenrip without installing anything?

No hosted endpoint is listed for LangMem. Tokenrip has a hosted endpoint at https://api.tokenrip.com/mcp.

### Are LangMem and Tokenrip open source?

LangMem is open source (MIT). No open-source release is listed for Tokenrip.


## For agents

- This comparison as JSON: https://www.anchorterminal.com/compare/langmem-vs-tokenrip.json, and with the fewest tokens: https://www.anchorterminal.com/compare/langmem-vs-tokenrip.min.md
- Over MCP at https://www.anchorterminal.com/mcp (no key): `compare_tools {"a": "langmem", "b": "tokenrip"}`. From a terminal: `anchor compare langmem tokenrip`
- Each listing in full: https://www.anchorterminal.com/api/v1/tools/langmem.json and https://www.anchorterminal.com/api/v1/tools/tokenrip.json

## Other comparisons with LangMem or Tokenrip

- [Amazon Bedrock AgentCore Memory vs LangMem](https://www.anchorterminal.com/compare/agentcore-memory-vs-langmem.md)
- [Amazon Bedrock AgentCore Memory vs Tokenrip](https://www.anchorterminal.com/compare/agentcore-memory-vs-tokenrip.md)
- [Cognee vs LangMem](https://www.anchorterminal.com/compare/cognee-vs-langmem.md)
- [Cognee vs Tokenrip](https://www.anchorterminal.com/compare/cognee-vs-tokenrip.md)
- [Graphiti vs LangMem](https://www.anchorterminal.com/compare/graphiti-vs-langmem.md)
- [Graphiti vs Tokenrip](https://www.anchorterminal.com/compare/graphiti-vs-tokenrip.md)
- [Hindsight vs LangMem](https://www.anchorterminal.com/compare/hindsight-vs-langmem.md)
- [Hindsight vs Tokenrip](https://www.anchorterminal.com/compare/hindsight-vs-tokenrip.md)
- [Honcho vs LangMem](https://www.anchorterminal.com/compare/honcho-vs-langmem.md)
- [Honcho vs Tokenrip](https://www.anchorterminal.com/compare/honcho-vs-tokenrip.md)
- [Hy Memory vs LangMem](https://www.anchorterminal.com/compare/hy-memory-vs-langmem.md)
- [Hy Memory vs Tokenrip](https://www.anchorterminal.com/compare/hy-memory-vs-tokenrip.md)
- [LangMem vs LocalGhost](https://www.anchorterminal.com/compare/langmem-vs-localghost.md)
- [LangMem vs Mem0 Platform + MCP](https://www.anchorterminal.com/compare/langmem-vs-mem0.md)
- [LangMem vs Memory (MCP reference server)](https://www.anchorterminal.com/compare/langmem-vs-memory-reference-server.md)
- [LangMem vs past.dev](https://www.anchorterminal.com/compare/langmem-vs-past-dev.md)
- [LangMem vs Supermemory API + MCP](https://www.anchorterminal.com/compare/langmem-vs-supermemory.md)
- [LangMem vs Zep](https://www.anchorterminal.com/compare/langmem-vs-zep.md)
- [LocalGhost vs Tokenrip](https://www.anchorterminal.com/compare/localghost-vs-tokenrip.md)
- [Mem0 Platform + MCP vs Tokenrip](https://www.anchorterminal.com/compare/mem0-vs-tokenrip.md)
- [Memory (MCP reference server) vs Tokenrip](https://www.anchorterminal.com/compare/memory-reference-server-vs-tokenrip.md)
- [past.dev vs Tokenrip](https://www.anchorterminal.com/compare/past-dev-vs-tokenrip.md)
- [Supermemory API + MCP vs Tokenrip](https://www.anchorterminal.com/compare/supermemory-vs-tokenrip.md)
- [Tokenrip vs Zep](https://www.anchorterminal.com/compare/tokenrip-vs-zep.md)
- [AI Memory vs LangMem](https://www.anchorterminal.com/compare/ai-memory-vs-langmem.md)
- [AI Memory vs Tokenrip](https://www.anchorterminal.com/compare/ai-memory-vs-tokenrip.md)
- [Context Mode Engine vs LangMem](https://www.anchorterminal.com/compare/context-mode-vs-langmem.md)
- [Context Mode Engine vs Tokenrip](https://www.anchorterminal.com/compare/context-mode-vs-tokenrip.md)
- [Graphicle vs LangMem](https://www.anchorterminal.com/compare/graphicle-vs-langmem.md)
- [Graphicle vs Tokenrip](https://www.anchorterminal.com/compare/graphicle-vs-tokenrip.md)

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