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docs: remove competitive sections from FOUNDATION.md #614

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docs: remove competitive position and license overview from FOUNDATIO…
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42 changes: 1 addition & 41 deletions FOUNDATION.md
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Expand Up @@ -131,44 +131,4 @@ Staying in our lane means we can be embedded inside IDEs, AI agents, CI pipeline

---

## Competitive Position

As of February 2026, codegraph is **#7 out of 22** in the code intelligence tool space (see [COMPETITIVE_ANALYSIS.md](./generated/competitive/COMPETITIVE_ANALYSIS.md)).

Six tools rank above us on feature breadth and community size. But none of them can answer yes to all three questions:

1. **Can you rebuild the graph on every commit in a large codebase?** — Only codegraph has incremental builds. Everyone else re-indexes from scratch.
2. **Does the core pipeline work with zero API keys and zero cost?** — Tools like code-graph-rag and autodev-codebase require cloud APIs for core features. Codegraph's full graph pipeline is local and costless.
3. **Can you optionally enhance with your LLM provider?** — Local-only tools (CKB, axon, arbor) have no AI enhancement path. Cloud-dependent tools force it. Only codegraph makes it optional.

| What competitors force you to choose | What codegraph gives you |
|--------------------------------------|--------------------------|
| Fast local analysis **or** AI-powered features | Both — zero-cost core + optional LLM layer |
| Full re-index on every change **or** stale graph | Always-current graph via incremental builds |
| Code goes to multiple cloud services **or** no AI at all | Code goes only to the one provider you chose |
| Docker + Python + external DB **or** nothing works | `npm install` and done |

Our path to #1 is not feature parity with every competitor. It's being **the only code intelligence tool where the graph is always current, works at zero cost, and optionally gets smarter with the LLM you already use.**

---

## Landscape License Overview

How the competitive field is licensed (relevant for understanding what's available to learn from, fork, or integrate):

| License | Count | Projects |
|---------|-------|----------|
| **MIT** | 10 | [code-graph-rag](https://github.com/vitali87/code-graph-rag), [glimpse](https://github.com/seatedro/glimpse), [arbor](https://github.com/Anandb71/arbor), [codexray](https://github.com/NeuralRays/codexray), [codegraph-cli](https://github.com/al1-nasir/codegraph-cli), [Bikach/codeGraph](https://github.com/Bikach/codeGraph), [repo-graphrag-mcp](https://github.com/yumeiriowl/repo-graphrag-mcp), [code-context-mcp](https://github.com/RaheesAhmed/code-context-mcp), [shantham/codegraph](https://github.com/shantham/codegraph), [khushil/code-graph-rag](https://github.com/khushil/code-graph-rag) |
| **Apache-2.0** | 2 | **[@optave/codegraph](https://github.com/optave/codegraph)** (us), [loregrep](https://github.com/Vasu014/loregrep) |
| **Custom/Other** | 1 | [CodeMCP/CKB](https://github.com/SimplyLiz/CodeMCP) (non-standard license) |
| **No license** | 9 | [axon](https://github.com/harshkedia177/axon), [autodev-codebase](https://github.com/anrgct/autodev-codebase), [Claude-code-memory](https://github.com/Durafen/Claude-code-memory), [claude-context-local](https://github.com/anasdayeh/claude-context-local), [CodeInteliMCP](https://github.com/rahulvgmail/CodeInteliMCP), [MCP_CodeAnalysis](https://github.com/0xjcf/MCP_CodeAnalysis), [0xd219b/codegraph](https://github.com/0xd219b/codegraph), [badger-graph](https://github.com/floydw1234/badger-graph), [CodeRAG](https://github.com/m3et/CodeRAG) |

**Key implications:**
- MIT-licensed projects (10/22) are fully open — their approaches, algorithms, and code can be studied and adapted freely
- 9 projects have **no license at all**, meaning they are proprietary by default under copyright law — their code cannot legally be copied or forked, even though it's publicly visible on GitHub
- CKB (CodeMCP) has a custom license that should be reviewed before any integration or inspiration
- Our Apache-2.0 license provides patent protection to users (stronger than MIT) while remaining fully open source — a deliberate choice for enterprise adoption

---

*This document should be revisited when the competitive landscape shifts meaningfully, or when a proposed feature contradicts one of the core principles above.*
*This document should be revisited when a proposed feature contradicts one of the core principles above.*
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