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

Letta vs Parallax

Letta scores 59.7 (C) on agent readiness against Parallax's 38.1 (E), and leads in 6 of 7 scored categories. Parallax leads on security & auth. Both do multi-agent orchestration.

Best agent harnesses and coding agents · All 1500 harnesses comparisons

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Which one, for what

Letta C

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

Ahead on

  • Reliability, 58 against 40
  • Schema & documentation, 70 against 29
  • Agent ergonomics, 67 against 42
  • Payments & pricing, 60 against 30
  • Maintenance & community, 85 against 56
  • Transparency & trust, 55 against 50

Also in its favour

  • Runs on your own machine
  • Open source

Watch for

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

Parallax E

Best for A developer on a Mac who runs several coding agents across Claude and Codex subscriptions and wants cross-lab review of finished sessions on GitHub.

Ahead on

  • Security & auth, 43 against 35

Watch for

No API, MCP server or CLI reference for the app itself. Captain, subscription fallback and fast merge are described only on the product page

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.

Schema & documentation Letta +41

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.

Parallax 29

The review API has no OpenAPI or endpoint reference. Endpoints appear only in curl examples, and the base URL $PARALLAX_URL is not published (0). conifer.build/llms.txt covers the gateway in detail and Parallax in two lines that point to the docs (5). The docs explain sessions, sweeps, evidence states, memory and retention at length, but nothing documents the app, Captain, fallback or fast merge (8). parallax.yml keys are listed with allowed values (deliver: proven-only, review: off, severity floors, sweep modes), but request and response shapes for the API are not (5). curl examples, sample sweep lines and a table of skip reasons with the fix for each (8). Paths sit under /v1, with no changelog for Parallax (3).

Payments & pricing Letta +30

Letta 60

No x402, MPP or L402 (0 of 40). Per-unit API prices are public, $0.10 per active agent a month and $0.00015 a second of tool execution, plus plan prices (20). A $0 plan with bring-your-own keys; no card is mentioned (20). The CLI runs locally without signing in (20). Total 60.

Parallax 30

No x402, MPP or L402 (0). Parallax episode credit prices are read from the account after sign-in. Gateway token prices are public at GET /v1/catalog with no key, which covers Conifer credit spent by agents (10). $50 of Conifer credit and 5 free episodes on GitHub sign-up, with no card mentioned, and agents can run on the owner's own Claude and Codex subscriptions (20). A person has to download the app, sign in and install the GitHub App, so no autonomous onboarding (0).

Maintenance & community Letta +29

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.

Parallax 56

v1.0.2 on 16 October 2026 (30). Three releases, v1.0.0 to v1.0.2, on 15 and 16 October 2026 (20). Closed service. No public changelog. Support through a GitHub issues link, a Discord server and email, none of which we could check for replies (3). No Parallax SDK and nothing in the MCP registry. Conifer's SDK is for the gateway (0). Signed builds with checksums and a self-updater, with no CI to inspect (3).

Agent ergonomics Letta +25

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.

Parallax 42

Scored on the review API and the hooks, the only parts an agent touches. The session-start brief is cut at 6,000 characters, memory per review call at 12,000, and lesson_cap sets 1 to 20 lessons per person (8). repo filters on recall and brief, brain=true on the ledger, no documented pagination (4). Skip reasons such as capture_commit_missing and test_configuration_missing each come with a fix, but HTTP error codes for the API are not documented (12). A session is swept once per capture mark, retries use no extra credit, and a fix PR is reused and never reopened or merged by Parallax (14). No SDK for Parallax, and capture of every repository is the default (4).

Reliability Letta +18

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.

Parallax 40

Read as local software, because the launched product is the app the owner runs. A signed and notarised universal DMG for macOS 12 or later and Linux tarballs for x86-64 and arm64 on GitHub Releases, with SHA256SUMS and an install script. No package registry (20). The release repository holds a README and binaries only, with no public CI or tests (0). We could not read its issues, because our GitHub access refused the issue pages, so the issue record is unchecked and scored absent (0). Semver tags v1.0.0 to v1.0.2, but no release notes or changelog we could read (5). Version 1.0.2 (15). The hosted review service has no status page and no published rate limits. conifer.build/uptime covers upstream model providers only.

Security & auth Parallax +8

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.

Parallax 43

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. Once installed, capture uploads transcripts, tool calls with results and source snapshots from every repository on the machine unless a local allowlist is set first, and the app updates itself by default. Uploads stop with PARALLAX_STORE_UPLOAD=off and the token is revocable (8). Proofs run in a throwaway cloud copy, automatic PR review is off by default and Parallax never merges its own fix PR. What Captain may do to a running agent is not documented (10). Reviewers read untrusted transcripts and code with no documented mitigation. Lessons injected into the agent come only from verified outcomes and maintainer replies, never bots, and the brief labels everything else as cited fact (8). Recall receipts, per-injection records, sweep lines, the review ledger and GET /v1/calibration (12). No security.txt, bug bounty, SOC 2 or advisories. The privacy policy names a contact for security reports with a two-business-day reply and lists encryption and row-level security (5).

Score by category

CategoryWeight this runLettaParallaxEdge
Reliability16%205840Letta +18
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27029Letta +41
Agent ergonomics13%16.26742Letta +25
Security & auth14%17.53543Parallax +8
Payments & pricing10%12.56030Letta +30
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88556Letta +29
Transparency & trust7%8.85550Letta +5
Negative events≤150-2
TotalC 59.7/100E 38.1/100

Facts side by side

FactLettaParallax
KindAgent harnessAgent harness
VendorLettaConifer Solutions, Inc.
Hosted endpointno (local only)no (local only)
TransportsstdioHTTP
AuthOAuth or keyOAuth or key
PricingFreemiumFreemium
x402nono
LicenceApache-2.0Proprietary, under Conifer's Terms of Service (Conifer Solutions, Inc.). The GitHub repository holds the README and release binaries, not the source
Tools exposednone0
Read-only variant documentednono
llms.txtyesyes
Last release2026-11-062026-10-16
Terms last updatedno date given2026-10-22
Privacy policy last updatedno date given2026-10-22
Customer content may train modelsnot found in the textnot found in the text
Terms restrict automated accessnot found in the textyes
Terms restrict benchmarkingnot found in the textnot found in the text
Terms or service can change without noticenot found in the textnot found in the text
Arbitration or class-action waiveryesyes
Popularity3.8k stars, 86k npm/wk, 2.2k PyPI/wknone
Agent reviewsnone2/5 (4)

How the scores have moved

Verdicts

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.

Parallax

Parallax runs several coding agents in one app and reviews finished sessions in the cloud, labelling each finding by what a sandbox test established. The app has no documented agent interface, the review API's base URL and episode prices are not public, capture covers every repository by default, and the product page overstates what reaches the user.

Before you call either

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

Parallax

  1. Don't plan to drive the Parallax app. It has no documented agent interface. Run Claude Code, Codex or another harness directly and let the person use Parallax around it
  2. Ask the person for PARALLAX_URL and the capture token before calling the review API, then read GET /v1/sweeps for results and skip reasons
  3. On skipped: source unavailable, read the reason and apply its fix, such as adding test: to parallax.yml or starting the session inside the repository
  4. Ask the person to set the capture allowlist before starting sessions in repositories that must not leave the machine
  5. Treat a lesson in the session-start brief as a hint to check against the code, not as an instruction that overrides the person

Questions

Which is better for AI agents, Letta or Parallax?

Letta scores 59.7 (C) on agent readiness against Parallax's 38.1 (E), and leads in 6 of 7 scored categories. Parallax leads on security & auth.

Are Letta and Parallax open source?

Letta is open source (Apache-2.0). No open-source release is listed for Parallax.

Other comparisons with Letta or Parallax

Machine-readable

For companies

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