# Clawboo vs Letta

> Clawboo scores 61.4 (C) to Letta's 59.7 (C) for multi-agent orchestration. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/clawboo-vs-letta
- Markdown: https://www.anchorterminal.com/compare/clawboo-vs-letta.md (~6,100 tokens)
- Site index for agents: https://www.anchorterminal.com/llms.txt (the key docs and every listing in one file, at most 16 MB, about 4 million tokens: https://www.anchorterminal.com/llms-full.txt)
- API: https://www.anchorterminal.com/api/v1/index.json
- MCP: https://www.anchorterminal.com/mcp (the whole catalogue as tools, no key)
- DNS: dig +short TXT <slug>.grade.anchorterminal.com (the grade as a DNS TXT record, for a sandbox with no HTTP where names still resolve; also top., best.<category>. and <a>.vs.<b>. under the zone, and the same under grade.letme.dev)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-11-07

Clawboo scores 61.4 (C) on agent readiness against Letta's 59.7 (C), and leads in 4 of 7 scored categories. Letta leads on reliability and maintenance & community. Both do multi-agent orchestration.

- Clawboo: grade C, 61.4/100, rank #616 of 1510. Markdown https://www.anchorterminal.com/tools/clawboo.md · JSON https://www.anchorterminal.com/api/v1/tools/clawboo.json
- Letta: grade C, 59.7/100, rank #687 of 1510. Markdown https://www.anchorterminal.com/tools/letta.md · JSON https://www.anchorterminal.com/api/v1/tools/letta.json
- Best agent harnesses and coding agents: https://www.anchorterminal.com/best/agent-harnesses/index.md
- All 1500 harnesses comparisons: https://www.anchorterminal.com/compare/agent-harnesses/index.md
- Best memory layers for AI agents: https://www.anchorterminal.com/best/agent-memory/index.md
- All 353 memory comparisons: https://www.anchorterminal.com/compare/agent-memory/index.md

## Which one, for what

### Clawboo (C)

Good for: One person on one computer who wants several coding and general agents on one board, with shared memory and a lead agent that routes work.

Ahead on:
- Schema & documentation, 83 against 70
- Agent ergonomics, 75 against 67
- Security & auth, 70 against 35

Also in its favour:
- No key needed to call it
- Free to start without a card

Watch for: Claude Code runs in `bypassPermissions`, Codex with `danger-full-access` and Hermes with `--yolo`, with no setting to change it and no sandbox

### Letta (C)

Good for: Long-lived coding agents and assistants that keep memory and identity across sessions and machines.

Ahead on:
- Reliability, 58 against 52
- Maintenance & community, 85 against 51

Also in its favour:
- Runs on your own machine
- No incidents deducted, where Clawboo loses 4 points for them

Watch for: The default permission mode is `unrestricted`, the renamed `bypassPermissions`, so tool calls aren't confirmed unless the user picks another mode


## Why the edge

### Security & auth: Clawboo +35

- Clawboo (70): Harness reading of the framework checklist, as for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for prompt-injection posture, 15 for audit and 20 for the security programme. The docs say Clawboo sends no telemetry and list the GitHub catalogue fetch, the npm version check, OpenRouter's public model list, Google Fonts and the GitHub star count, of which only the catalogue address can be changed (27). Clawboo Native shell commands are off by default and asked one at a time, and connector grants are per agent with approval on writes. Claude Code, Codex and Hermes run with their prompts and sandboxes off and no setting to change it, they can read Clawboo's database and key vault, and with no access token by default any local program can answer approval cards (8). Images in agent text don't load on their own, peer posts are marked as evidence, and a run that has read private data and untrusted content asks before any outbound connector call (11). An audit log of budget, breaker, approval, verification, tool-call and install events, with secrets masked (13). SECURITY.md with private reporting, CodeQL, Dependabot and npm provenance. No security.txt or bug bounty, OSV lists no advisory for `clawboo`, and the proxy advisory is on the docs with a workaround while its fix is unreleased (11).
- Letta (35): Harness reading of the framework checklist, as for the other harnesses. 30 for what leaves the machine by default, 20 for approvals and sandboxing, 15 for injection posture, 15 for audit and 20 for the security programme. Letta Cloud is the default backend, so agent state and conversations go to Letta's servers, and telemetry is on by default (10 of 30). The default permission mode is `unrestricted`; `standard`, `acceptEdits` and `strict` are opt-in, and cloud sandboxes exist for remote work (4 of 20). No prompt-injection guidance found for fetched pages or channel messages (5 of 15). Conversation search and git history of memory give an operator a record of what the agent saw and changed (10 of 15). SECURITY.md routes reports to support@letta.com and scopes out the retired server; no security.txt, bounty or certification found (6 of 20). Total 35.

### Maintenance & community: Letta +34

- Clawboo (51): 0.5.0 was published to npm on 21 October 2026 (30). Two releases in the 90 days to 1 November 2026, 0.4.0 on 28 September and 0.5.0, below the three the line asks for (0). github.com was unreachable, so replies to issues, pull requests and Discussions are unchecked. The CI file cites issue #140 as fixed (3). One public npm package, current, with no entry in the official MCP registry for its four servers (10). CI, CodeQL, weekly Dependabot and SLSA provenance on 0.4.0 and 0.5.0, with `@composio/client` pinned to an alpha (8).
- Letta (85): v0.34.42 on 6 November 2026 (30). Dozens of releases in 90 days (20). Pull requests are merged daily; recent issues from users have few replies (15 of 25). npm and PyPI packages and the Agent SDK track the releases (12 of 15). Lock files, CI and nightly smoke tests (8 of 10). Total 85.

### Schema & documentation: Clawboo +13

- Clawboo (83): Harness reading of the framework line, as for Paperclip. The REST API's 199 routes are documented per resource with parameters, bodies and responses, and the MCP tools reference gives typed arguments for every tool on the four servers, but no OpenAPI file was found (17). llms.txt, llms-full.txt and a Markdown copy of every page at `.md` on docs.claw.boo (10). The docs say what each part does and does not cover, with known issues, production defaults and a limits page that names the code line behind each number (17). Tool arguments are typed with required and optional fields and documented caps, such as 24 live subtasks per parent and limits lowered to 1,000, with free-text task bodies (12). curl examples on each API page, an events and errors reference, and the exact error strings each MCP tool returns (14). A dated changelog for every release with an Unreleased section, though API paths carry no version and every MCP server reports 0.1.0 (13).
- Letta (70): Harness reading. docs.letta.com serves llms.txt and a Markdown version of every page, with an `applies_to` block saying which backend and interface each page covers (10). TypeScript types for the Agent SDK and a documented App Server WebSocket protocol, but no JSON Schema or OpenAPI for the harness (15 of 25). Pages say when to use local or cloud backends, subagents and channels (14 of 20). Permission modes and options are typed in the SDK (12 of 15). Example applications and a remote client reference (11 of 15). Releases most days but no changelog file (8 of 15). Total 70.

### Agent ergonomics: Clawboo +8

- Clawboo (75): Harness reading, scored on what an agent or pipeline driving it has to supply. Four MCP servers keep tool lists small (12 Tasks tools, 4 Memory tools, 2 or 3 TeamChat tools, and Tools with four demonstration builtins plus granted connectors), Clawboo Native gets a read-only Tasks subset, and Tools results over 16 KiB are trimmed with a handle to read the rest (22). Circuit breakers stop task-runner runs after more than 30 tool calls or 200,000 tokens a minute, and team chat caps hand-offs at 8 a turn and three levels. Budgets warn only unless set to a hard cap, and a hard cap stops most runs only between runs (14). REST errors use one `{error}` shape, refused MCP calls return `denied:` with a reason prefix, and 429s carry `Retry-After` (16). `claim_task` and `assign_task` are atomic, illegal status changes are refused by name, the board survives restarts and routines resume after failure. No MCP tool annotations are documented (14). One `npx` command and a provider key or a local Ollama, but Claude Code teammates need a global install with the Agent SDK, and there is no client SDK (9).
- Letta (67): Harness reading. Toolsets switch with `/model`, skills load per agent, and subagents run in the background (18 of 25). Context is managed through memory blocks, reflection and dreaming (12 of 20). `letta -p --output-format json` for scripted runs and an App Server for programmatic control (12 of 20). Conversations resume by agent and conversation id, and memory is git-tracked so changes can be reverted (15 of 20). Runs with no account on the local backend, with one SDK language, TypeScript (10 of 15). Total 67.

### Reliability: Letta +6

- Clawboo (52): Read as local software. The official npm package `clawboo` states Node.js 22.12 or newer, and the README says macOS, Linux and Windows are supported (20). `ci.yml` runs lint, typecheck, Vitest and a real-concurrency suite on Linux and platform suites on Windows and macOS, and `publish.yml` reruns build, lint, typecheck, tests and a clean-install boot before it publishes. 0.5.0 carries provenance from that workflow on main, so its checks passed at that commit, but run results on main couldn't be read (15). github.com was unreachable, so open crash and regression issues are unchecked. A known-issues page lists 25 entries with a status each, three of them fixed on main (5). Changesets write a changelog entry per release, and removals and the 0.2.0 database reset are called out, though breaking changes arrive in minor versions before 1.0 (12). Version 0.5.0, and SECURITY.md says pre-1.0 (0).
- Letta (58): Local-software lines, read for the harness. `@letta-ai/letta-code` on npm with Node.js 22.19 or newer, and PyPI wheels for glibc Linux, macOS 14 and Windows x64 with Python 3.9 or newer stated (20). ci.yml, nightly update smoke tests and Telegram live smoke tests exist, but GitHub's API answered with a rate limit, so run results were unread (15 of 25, unchecked). 332 open issues and pull requests, mostly pull requests; recent bug reports such as recall reading the wrong conversation have no reply yet (15 of 25). 398 tags at 0.34.x with release notes on GitHub, no changelog file, and breaking removals such as AgentFile announced in the README (8 of 15). Pre-1.0 (0). Total 58.

## Score by category

| Category | Weight | Clawboo | Letta | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 52 | 58 | Letta +6 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 83 | 70 | Clawboo +13 |
| Agent ergonomics | 13% (16.2 this run) | 75 | 67 | Clawboo +8 |
| Security & auth | 14% (17.5 this run) | 70 | 35 | Clawboo +35 |
| Payments & pricing | 10% (12.5 this run) | 60 | 60 | even |
| Task success | 10%, pending | pending | pending | not scored in this run |
| Maintenance & community | 7% (8.8 this run) | 51 | 85 | Letta +34 |
| Transparency & trust | 7% (8.8 this run) | 58 | 55 | Clawboo +3 |
| Negative events | ≤15 | -4 | 0 | |
| **Total** | | **61.4 · C** | **59.7 · C** | |

## Facts side by side

| Fact | Clawboo | Letta |
| --- | --- | --- |
| Kind | Agent harness | Agent harness |
| Vendor | Sanreds | Letta |
| Hosted endpoint | no (local only) | no (local only) |
| Transports |  | stdio |
| Auth | None | OAuth or key |
| Pricing | Free | Freemium |
| x402 | no | no |
| Licence | MIT | Apache-2.0 |
| Read-only variant documented | no | no |
| llms.txt | yes | yes |
| Last release | 2026-10-21 | 2026-11-06 |
| Terms last updated | no document linked | no date given |
| Privacy policy last updated | no document linked | no date given |
| Customer content may train models | not read yet | not found in the text |
| Terms restrict automated access | not read yet | not found in the text |
| Terms restrict benchmarking | not read yet | not found in the text |
| Terms or service can change without notice | not read yet | not found in the text |
| Arbitration or class-action waiver | not read yet | yes |
| Popularity | 100 npm/wk | 3.8k stars, 86k npm/wk, 2.2k PyPI/wk |

## Verdicts

**Clawboo.** Tasks, memory, team chat and connectors are shared across five runtimes through four MCP servers, with documentation that states each default and limit. Claude Code, Codex and Hermes run with their sandboxes and approval prompts off and no setting to change it, and a reverse-proxy exposure of the MCP servers is fixed only on the unreleased main branch.

**Letta.** Letta's open-source harness gives agents git-tracked memory blocks, skills, subagents and headless JSON runs, with a $0 plan and public per-agent API prices. It starts in the unrestricted permission mode, defaults to Letta Cloud, sends usage telemetry unless LETTA_CODE_TELEM=0 is set, and the V1 API server the comparisons describe is retired.

## Before you call either

### Clawboo

1. Run `npx clawboo@latest`, not a bare `npx clawboo`, which can reuse an older cached build. Node.js 22.12 or newer is required
2. On 0.5.0 behind nginx, Caddy or a Cloudflare Tunnel, deny `/api/mcp/` at the proxy and set `STUDIO_ACCESS_TOKEN` from `openssl rand -hex 24`
3. Give Claude Code, Codex and Hermes teammates only work you would let run unattended, or run Clawboo under a separate user account or VM
4. Create a hard-cap budget in Settings > Insights > Governance before long runs. A fresh install has no budget and new budgets only warn
5. Install `@anthropic-ai/claude-agent-sdk` globally beside Clawboo for Claude Code teammates. A one-off `npx` run cannot load it

### Letta

1. Start headless runs with an explicit permission mode such as `standard` or `strict`; the default auto-approves tools
2. Pass `--backend local` for work that must stay on the machine, since Letta Cloud is the default
3. Set LETTA_CODE_TELEM=0 in unattended runs if usage events must not be sent
4. Use `letta -p --output-format json` for scripted runs and parse the JSON, not the terminal output
5. Don't plan on the retired V1 REST server or `.af` AgentFile import; both are gone

## Questions

### Which is better for AI agents, Clawboo or Letta?

Clawboo scores 61.4 (C) on agent readiness against Letta's 59.7 (C), and leads in 4 of 7 scored categories. Letta leads on reliability and maintenance & community.

### Are Clawboo and Letta open source?

Yes. Clawboo is open source (MIT). Letta is open source (Apache-2.0).


## For agents

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

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---

Query this catalogue directly over MCP: https://www.anchorterminal.com/mcp (Streamable HTTP, no key). How: https://www.anchorterminal.com/agents/#mcp