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

AXLR vs Clawboo

AXLR scores 70.6 (BB) on agent readiness against Clawboo's 61.4 (C), and leads in 3 of 7 scored categories. Clawboo leads on security & auth. Both do multi-agent orchestration.

Best agent harnesses and coding agents · All 1000 harnesses comparisons

Which one, for what

AXLR BB

Best for A program or bot that needs one governed execution at a time, with a policy, a budget, a sandbox profile and correlation ids it sets itself and a result object it reads back, on a machine it controls, with the model on OpenRouter, a local server or a native Anthropic or OpenAI key.

Ahead on

  • Reliability, 70 against 52
  • Agent ergonomics, 83 against 75
  • Maintenance & community, 79 against 51

Also in its favour

  • Agent-ready, a grade of BB or better
  • No incidents deducted, where Clawboo loses 4 points for them

Watch for

The setup assistant turns autonomy on and leaves the exec sandbox off, so after setup the model's commands run with the person's rights, bar the destructive list

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

  • Security & auth, 70 against 62

Also in its favour

  • No key needed to call it

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

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.

Maintenance & community AXLR +28

AXLR 79

v0.15.0 on 2026-10-25, with commits on main to 2026-11-01 (30). 21 releases between 4 and 25 October 2026 (20). One maintainer (368 of 399 commits, the rest by two agent accounts), 10 open issues that are his own trackers with no comments, about 100 merged pull requests and no outside report to measure a reply against (15). Not in the MCP registry; the Go module and a proto to generate clients from are the only client code, beside the GHCR image and Helm chart (5). Go 1.26 toolchain pinned, release actions pinned by commit SHA, a go-licenses check that the third-party bundle matches the dependency graph, and CI passing on main (9). 30+20+15+5+9 = 79.

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).

Reliability AXLR +18

AXLR 70

Read as a local package, as claude-code, goose, opencode and openhands were. Release archives for Linux, macOS and Windows on amd64 and arm64 with a .sha256 beside each, a GHCR image, an OCI Helm chart and source builds with Go 1.26, all stated in the docs; no Homebrew, npm or apt route (20). CI on main runs vet, race tests and a coverage gate above 80 per cent for both modules, with the sandbox tests required under bubblewrap, and the last ten runs on main to 1 November 2026 all passed; the release workflow tests on six native runners (25). 10 open issues, all opened by the founder on 19 and 21 October 2026 as trackers for service work (work modes, plugins, the sandbox setting, cost limits), none from an outside user and none a crash report, 0 open pull requests and about 100 merged; with 0 stars there is nobody else to report, so the handling of outside reports is untested (20). Tags are semver 0.x and the docs date each behaviour change inline ("until 14 October 2026…"), but the 21 releases have empty notes, there is no CHANGELOG.md, and the product contract records one retirement (the seven 1.0 skill definitions on 5 October 2026) without a notice period (5). Pre-1.0, which the README calls an evolving project (0). 20+25+20+5+0 = 70.

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).

Agent ergonomics AXLR +8

AXLR 83

Harness reading of the framework line, scored on what a program driving it has to supply. Six local tools plus the host's bookkeeping tools; work modes and an execution policy hide the tools a run may not use, axlr_catalog searches the catalog instead of loading it, forged tools keep the request prefix for the prompt cache, and a context cap of 75,000 prompt tokens opens a successor session (20). local_read, local_search and local_list page with offset, next_offset and max_bytes; StreamEvents takes after, max_events (1 to 256) and wait_ms; a budget per execution in seconds, requests, tool calls and dollars; 32 tool calls a turn and max_session_usd (20). The --exec run ends in one result line with a status, the pending call, every call's outcome and the usage, and exits 0, 3 or 1; service errors carry codes an agent can act on; a budget stop says which limit (budget: requests 20 reached) and leaves the session resumable (16). Idempotency-Key on every turn, approval and direct call with cross-transport replay, expected_revision on decisions, expected_sha256 on worker writes, and an interrupted effectful call left uncertain for an operator rather than retried (19). One command runs a task, but the first launch needs an OpenRouter key or a local server, the service needs a CA, a principals file and remote KMP and MADE before a first session, and the only SDK is the Go library (8). 20+20+16+19+8 = 83.

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).

Security & auth Clawboo +8

AXLR 62

Harness reading of the framework checklist, as for the other four 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. No product telemetry in the console source (the outbound hosts are openrouter.ai, api.anthropic.com, api.openai.com, a configured local server, api.github.com and github.com for engine downloads, and registry.underpassai.com for the signed catalog index) or in the docs; payload capture is off by default since 9 October 2026, traces omit prompts and credentials, model keys are never given to commands or plugins, and Jev sends requests and answers to TypeSafe only when on, which the setup assistant does when TYPESAFE_API_KEY is set, with a notice on stderr (27). Approval cards, a destructive list that always asks, four work modes, a policy level per execution, a bubblewrap or container sandbox with an enforced egress allow list, and a service that approves nothing but reads. Against that, the setup assistant writes autonomous: true, exec_sandbox is off by default, forged tools run with the person's rights, and the README says the console and worker are not sandboxes (13). Forged tools are refused when a file changes since the forge, a policy forbids calls outside the model, and the docs say MCP tools keep their own side effects, but no prompt-injection guidance was found and MCP results reach the model unmarked (6). The service keeps an event journal, audit records, a receipt with the SHA-256 of every call's arguments and outcome, and correlation ids on every event; the console keeps session records, a redacted app log and /session (14). No SECURITY.md, no security.txt on either host, no advisories, no bug bounty; release checksums and a minisign-signed catalog are integrity, not a programme (2). 27+13+6+14+2 = 62.

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).

Score by category

CategoryWeight this runAXLRClawbooEdge
Reliability16%207052AXLR +18
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.28083Clawboo +3
Agent ergonomics13%16.28375AXLR +8
Security & auth14%17.56270Clawboo +8
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.87951AXLR +28
Transparency & trust7%8.85558Clawboo +3
Negative events≤150-4
TotalBB 70.6/100C 61.4/100

Facts side by side

FactAXLRClawboo
KindAgent harnessAgent harness
VendorUnderpass AISanreds
Hosted endpointno (local only)no (local only)
Transports
AuthOAuth or keyNone
PricingFreeFree
x402nono
LicenceApache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holderMIT
Read-only variant documentednono
llms.txtnoyes
Last release2026-10-252026-10-21
Terms last updatedno document linkedno document linked
Privacy policy last updatedno document linkedno document linked
Popularity0 stars100 npm/wk

Verdicts

AXLR

A pre-1.0 Go harness with an unusually complete service contract, mutual TLS with principal roles, required idempotency keys, a policy, budget and sandbox per execution, and a result object a program can read. The console's defaults after setup are autonomy on and no sandbox, the project has one maintainer and no outside users yet, and releases carry no notes.

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.

Before you call either

AXLR

  1. Before the first prompt, set approvals.autonomous to false or run with --approve none, and turn exec_sandbox.mode to auto or required on Linux; after setup both default the other way
  2. Drive a run with axlr-tui --exec --json --policy <file> --budget <file> --sandbox <file> and read only the last result line; exit 3 means a call waits for --decide approve|deny with --session <id>
  3. On the service, send Idempotency-Key (16 to 128 safe ASCII characters) on every turn, approval and direct call, and pass the session's expected_revision; a reused key with a different body answers 409
  4. A local model must return native tool calls (llama.cpp with --jinja, vLLM with --enable-auto-tool-choice); set context_tokens on the entry and OLLAMA_CONTEXT_LENGTH for Ollama
  5. Leave TYPESAFE_API_KEY unset unless you want the setup assistant to switch Jev on, which sends requests and final answers to TypeSafe

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

Questions

Which is better for AI agents, AXLR or Clawboo?

AXLR scores 70.6 (BB) on agent readiness against Clawboo's 61.4 (C), and leads in 3 of 7 scored categories. Clawboo leads on security & auth.

Are AXLR and Clawboo open source?

Yes. AXLR is open source (Apache-2.0, with a NOTICE naming Tirso García Ibáñez as the copyright holder). Clawboo is open source (MIT).

Other comparisons with AXLR or Clawboo

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