Sign in

Head to head · Code repositories · October 2026 research run

Graphify vs TokenEconomizer

Graphify scores 68.9 (B) on agent readiness against TokenEconomizer's 62.6 (B), and leads in 5 of 7 scored categories. TokenEconomizer leads on security & auth. Both do code repositories.

Best code, repository and documentation tools for AI agents · All 39 code comparisons

GraphifyGraphify Labs · MCP server B68.9/100#227 of 1244 TokenEconomizerMicrosoft · Agent framework B62.6/100#502 of 1244

Which one, for what

Graphify B

Best for A person or team who wants a coding agent to query a structural map of a repository, with docs and papers folded in, before grepping.

Ahead on

  • Reliability, 58 against 46
  • Schema & documentation, 77 against 66
  • Maintenance & community, 81 against 43
  • Transparency & trust, 81 against 76

Also in its favour

  • Runs on your own machine
  • Free to start without a card

Watch for

Headless extraction sends docs to whichever cloud provider's key is set, Gemini first and Kimi in China second, unless GRAPHIFY_BACKEND is set

TokenEconomizer B

Best for Lowering the repeat cost of coding agents in repositories they work in often

Ahead on

  • Security & auth, 71 against 66

Watch for

Version 0.1.0 with no changelog or release notes found; updating means a git pull of main

Score by category

CategoryWeight this runGraphifyTokenEconomizerEdge
Reliability16%205846Graphify +12
Performance10%pendingpendingpendingnot scored in this run
Schema & documentation13%16.27766Graphify +11
Agent ergonomics13%16.27776Graphify +1
Security & auth14%17.56671TokenEconomizer +5
Payments & pricing10%12.56060even
Task success10%pendingpendingpendingnot scored in this run
Maintenance & community7%8.88143Graphify +38
Transparency & trust7%8.88176Graphify +5
Negative events≤15-10
TotalB 68.9/100B 62.6/100

Facts side by side

FactGraphifyTokenEconomizer
KindMCP serverAgent framework
VendorGraphify LabsMicrosoft
Hosted endpointno (local only)no (local only)
Transportsstdio, Streamable HTTP
AuthNoneNone
PricingFreeFree
x402nono
LicenceApache-2.0 since 0.9.25 of 22 July 2026. Contributions made before then remain available under MIT, with the original text kept in LICENSE-MIT and referenced from NOTICEApache-2.0
Tools exposed10none
Read-only variant documentednono
llms.txtyesno
Last release2026-10-23none
Terms last updatedcouldn't be readno date given
Privacy policy last updatedcouldn't be readno document linked
Customer content may train modelscouldn't be readnot found in the text
Terms restrict automated accesscouldn't be readnot found in the text
Terms restrict benchmarkingcouldn't be readnot found in the text
Terms or service can change without noticecouldn't be readnot found in the text
Arbitration or class-action waivercouldn't be readnot found in the text
Popularitynone976 stars

Verdicts

Graphify

Graphify parses code locally with tree-sitter, ships near-daily releases with a dated changelog, and keeps its ten MCP tools read-only and compact. The optional model step picks a cloud provider from whichever API key is set, and community naming can fall back to the claude CLI, so GRAPHIFY_BACKEND=none is needed to keep everything on the machine.

TokenEconomizer

A standard-library Python plugin that keeps learned state on the machine, documents each hook and makes every action reversible. It is version 0.1.0 with no changelog, installs from a git clone of main, and the 18.4 to 30.9 per cent savings are the paper's SWE-Bench figures, measured with settings that differ from the plugin's defaults.

Before you call either

Graphify

  1. Install graphifyy with two y's; other graphify* packages on PyPI are not the project's
  2. Set GRAPHIFY_BACKEND=none or use --code-only when no source or doc text may leave the machine
  3. Pass an absolute path to graph.json in the MCP config, and run graph_stats first to check the graph loaded
  4. Set GRAPHIFY_API_KEY before binding the HTTP server to 0.0.0.0; it only warns when no key is set
  5. Run 0.9.70 or later before indexing an untrusted repository, because earlier versions carry the Fortran file-read advisory

TokenEconomizer

  1. Check the agent's version against the README's supported range before installing; versions outside it are untested or unsupported.
  2. Keep micro-skills off, or set microskills=envfacts, in a repository whose command output you don't trust.
  3. If a tool you need is missing, run the toolprune command to see what was left out and toolprune restore to bring it back.
  4. Run the plugin's commands from a terminal with ~/.tokeneconomizer/bin/te; inside the agent each command costs a model turn.
  5. Start the agent with TE_DISABLE=1 to run one session without the plugin.

Questions

Which is better for AI agents, Graphify or TokenEconomizer?

Graphify scores 68.9 (B) on agent readiness against TokenEconomizer's 62.6 (B), and leads in 5 of 7 scored categories. TokenEconomizer leads on security & auth.

Can an agent call Graphify and TokenEconomizer without installing anything?

Graphify runs on your own machine, with no hosted endpoint listed. No hosted endpoint is listed for TokenEconomizer.

Are Graphify and TokenEconomizer open source?

Yes. Graphify is open source (Apache-2.0 since 0.9.25 of 22 July 2026. Contributions made before then remain available under MIT, with the original text kept in LICENSE-MIT and referenced from NOTICE). TokenEconomizer is open source (Apache-2.0).

Other comparisons with Graphify or TokenEconomizer

Machine-readable

For companies

Do agents find, use and choose your tools?

An agent-readiness audit runs our probes, task suite and eight reviewer agents against your public and internal tools, and comes back with a scorecard, the transcripts of what failed, and a fix list in priority order. From $2,500, re-run included. We never take payment to move a rank. We do help companies earn one.

Get an auditSee a sample report