# Graphify vs TokenEconomizer

> Graphify scores 68.9 (B) to TokenEconomizer's 62.6 (B) for code repositories. Prices, MCP, x402, uptime and agent notes side by side.

- Canonical: https://www.anchorterminal.com/compare/graphify-vs-tokeneconomizer
- Markdown: https://www.anchorterminal.com/compare/graphify-vs-tokeneconomizer.md (~2,200 tokens)
- Slim: https://www.anchorterminal.com/compare/graphify-vs-tokeneconomizer.min.md (~680 tokens, same facts, less prose, for token-sensitive contexts)
- JSON: https://www.anchorterminal.com/compare/graphify-vs-tokeneconomizer.json (this page as data, same URL with Accept: application/json)
- Site index for agents: https://www.anchorterminal.com/llms.txt (full text: 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)
- Licence: CC BY 4.0, credit Anchor Terminal and link this page (https://www.anchorterminal.com/terms/#data)
- Updated: 2026-10-31

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.

- Graphify: grade B, 68.9/100, rank #227 of 1244. Markdown https://www.anchorterminal.com/tools/graphify.md · JSON https://www.anchorterminal.com/api/v1/tools/graphify.json
- TokenEconomizer: grade B, 62.6/100, rank #502 of 1244. Markdown https://www.anchorterminal.com/tools/tokeneconomizer.md · JSON https://www.anchorterminal.com/api/v1/tools/tokeneconomizer.json
- Best code, repository and documentation tools for AI agents: https://www.anchorterminal.com/best/code/index.md
- All 39 code comparisons: https://www.anchorterminal.com/compare/code/index.md

## Which one, for what

### Graphify (B)

Good 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)

Good 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

| Category | Weight | Graphify | TokenEconomizer | Edge |
| --- | --- | --- | --- | --- |
| Reliability | 16% (20 this run) | 58 | 46 | Graphify +12 |
| Performance | 10%, pending | pending | pending | not scored in this run |
| Schema & documentation | 13% (16.2 this run) | 77 | 66 | Graphify +11 |
| Agent ergonomics | 13% (16.2 this run) | 77 | 76 | Graphify +1 |
| Security & auth | 14% (17.5 this run) | 66 | 71 | TokenEconomizer +5 |
| 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) | 81 | 43 | Graphify +38 |
| Transparency & trust | 7% (8.8 this run) | 81 | 76 | Graphify +5 |
| Negative events | ≤15 | -1 | 0 | |
| **Total** | | **68.9 · B** | **62.6 · B** | |

## Facts side by side

| Fact | Graphify | TokenEconomizer |
| --- | --- | --- |
| Kind | MCP server | Agent framework |
| Vendor | Graphify Labs | Microsoft |
| Hosted endpoint | no (local only) | no (local only) |
| Transports | stdio, Streamable HTTP |  |
| Auth | None | None |
| Pricing | Free | Free |
| x402 | no | no |
| Licence | 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 | Apache-2.0 |
| Tools exposed | 10 | none |
| Read-only variant documented | no | no |
| llms.txt | yes | no |
| Last release | 2026-10-23 | none |
| Terms last updated | couldn't be read | no date given |
| Privacy policy last updated | couldn't be read | no document linked |
| Customer content may train models | couldn't be read | not found in the text |
| Terms restrict automated access | couldn't be read | not found in the text |
| Terms restrict benchmarking | couldn't be read | not found in the text |
| Terms or service can change without notice | couldn't be read | not found in the text |
| Arbitration or class-action waiver | couldn't be read | not found in the text |
| Popularity | none | 976 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).


## For agents

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

## Other comparisons with Graphify or TokenEconomizer

- [Azure DevOps MCP Server vs Graphify](https://www.anchorterminal.com/compare/azure-devops-mcp-vs-graphify.md)
- [Azure DevOps MCP Server vs TokenEconomizer](https://www.anchorterminal.com/compare/azure-devops-mcp-vs-tokeneconomizer.md)
- [Entire vs Graphify](https://www.anchorterminal.com/compare/entire-vs-graphify.md)
- [Entire vs TokenEconomizer](https://www.anchorterminal.com/compare/entire-vs-tokeneconomizer.md)
- [GitHub MCP Server vs Graphify](https://www.anchorterminal.com/compare/github-mcp-server-vs-graphify.md)
- [GitHub MCP Server vs TokenEconomizer](https://www.anchorterminal.com/compare/github-mcp-server-vs-tokeneconomizer.md)
- [graft vs TokenEconomizer](https://www.anchorterminal.com/compare/graft-vs-tokeneconomizer.md)
- [Graphify vs Sourcegraph MCP Server](https://www.anchorterminal.com/compare/graphify-vs-sourcegraph-mcp.md)
- [Sourcegraph MCP Server vs TokenEconomizer](https://www.anchorterminal.com/compare/sourcegraph-mcp-vs-tokeneconomizer.md)
- [Git (MCP reference server) vs Graphify](https://www.anchorterminal.com/compare/git-reference-server-vs-graphify.md)
- [graft vs Graphify](https://www.anchorterminal.com/compare/graft-vs-graphify.md)
- [Graphify vs Superpowers](https://www.anchorterminal.com/compare/graphify-vs-superpowers.md)

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