Head to head · Multi-agent orchestration · October 2026 research run

Clawboo vs 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. Both do multi-agent orchestration.

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Which one, for what

Clawboo C

Best 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

Best 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

Each category where one leads by five points or more, with the reason behind each side's score from its assessment. The numbers are in the table below; this is what they stand for.

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

CategoryWeight this runClawbooLettaEdge
Reliability16%205258Letta +6
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28370Clawboo +13
Agent ergonomics13%16.27567Clawboo +8
Security & auth14%17.57035Clawboo +35
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.85185Letta +34
Transparency & trust7%8.85855Clawboo +3
Negative events≤15-40
TotalC 61.4/100C 59.7/100

Facts side by side

FactClawbooLetta
KindAgent harnessAgent harness
VendorSanredsLetta
Hosted endpointno (local only)no (local only)
Transportsstdio
AuthNoneOAuth or key
PricingFreeFreemium
x402nono
LicenceMITApache-2.0
Read-only variant documentednono
llms.txtyesyes
Last release2026-10-212026-11-06
Terms last updatedno document linkedno date given
Privacy policy last updatedno document linkedno date given
Customer content may train modelsnot read yetnot found in the text
Terms restrict automated accessnot read yetnot found in the text
Terms restrict benchmarkingnot read yetnot found in the text
Terms or service can change without noticenot read yetnot found in the text
Arbitration or class-action waivernot read yetyes
Popularity100 npm/wk3.8k 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).

Other comparisons with Clawboo or Letta

Machine-readable

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