Agent-agnostic context network — same context across any AI coding agent
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# AXON  **Same context, any AI coding agent.** > *Agent-agnostic eXecution and cONtext Network.* Every time you switch coding agents — from Claude Code to Codex to Cursor — or resume a project after a few days away, your AI assistant starts blank. AXON solves this by capturing context at the moments it crystallises (git commits, session boundaries) and surfacing it on demand over MCP or a plain `.axon/context.md` file that any agent can read. One install, continuous memory, any agent. --- ## The stack AXON is the front of a three-part, self-hosted context stack — install one thing, get all three: | Layer | Role | Project | |---|---|---| | **AXON** | Cross-agent memory + MCP orchestration (this repo) | `axon` | | **GLYPH** | Graph-aware retrieval — decides *what* context to bring | [`glyph-kg`](https://github.com/sammyjdev/glyph-kg), pulled in via pip | | **rtkx** | Context compression + reversible store — decides *how compact* | [`rtkx`](https://github.com/sammyjdev/rtkx), installed via `axon rtk-install` | GLYPH and rtkx are clean, independently-tested dependencies, not a monolith. The compressed context stays in the LLM window; the full pre-compression original is one `restore_context` MCP call away (opt-in via `AXON_RTK_REVERSIBLE`). Bundled compression layers like Headroom cover adjacent ground — including reversible retrieval (its CCR cache) — but as one broad engine. AXON instead keeps each tier narrow-and-deep and independently swappable, so the graph (GLYPH) and compression (rtkx) layers can evolve, be benchmarked, or be replaced on their own without touching the rest of the stack. --- ## Quickstart AXON is not yet on PyPI. Install from source: ```bash git clone https://github.com/sammyjdev/axon.git cd axon pip install -e . ``` This pulls in GLYPH automatically. Install the **rtkx** compression engine too (down…
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