Working with AI agents
recall is built to sit at every point where an AI fetches code context — not just the human-in-the-loop session. Most tools help the human; recall plugs into the AI's whole workflow, so the engine you and your team build gets stronger with every commit instead of being re-derived from scratch each session.
How an AI ecosystem plugs in — the five docking points
There are five moments where an AI reaches for code context. recall docks onto each:
| # | Point | What recall does |
|---|---|---|
| 1 | Subagents | a spawned review/audit agent starts blank → it runs recall brief --terse first, so it inherits the why instead of re-guessing it |
| 2 | Pre-edit | recall brief <file> before any edit — the gate below |
| 3 | Search / locate | recall resolve <guess> corrects the hallucinated term before the grep (Search-inversion) |
| 4 | Compaction / handoff | recall handoff snapshots the in-flight state so the next session rebuilds from recall, not an ad-hoc summary |
| 5 | Git hooks | pre-commit risk-warning + post-commit auto-stamp |
The full map + status lives in docs/ecosystem-docking.md. Claude Code is the first complete client — the same MCP + CLI surface works for any AI agent (every AI has the same blank-subagent and vocabulary-mismatch gaps).
Wiring recall into your AI client
recall speaks two universal protocols, so it docks into any AI coding tool — not just one. The same engine, two transports:
- MCP (Model Context Protocol) — for the interactive session and real users. Every
MCP client (Claude Code, Cursor, VS Code / GitHub Copilot, Windsurf, Zed, Cline, …) registers recall with the same server block; only the config file location differs. Run recall mcp --print-config to print the exact snippet for each:
| Client | Where the config lives | | --- | --- | | Claude Code | claude mcp add recall -- recall mcp, or a checked-in .mcp.json | | Cursor | ~/.cursor/mcp.json (global) or .cursor/mcp.json (project) | | VS Code / Copilot | .vscode/mcp.json (uses a servers key) | | Windsurf / Zed / Cline / other | the same mcpServers block, that client's path |
That exposes recall's 14 tools (recall, brief, explain, resolve, stamp, contested, freshen, dashboard, impact, precedent, callers, dead_code, untested, cycles) as native tools the AI can call.
- CLI — for spawned subagents, which can't see MCP (it's session-scoped, see
below). Any agent in any framework reaches recall through the shell: recall brief <file> --terse. No integration needed — if the agent can run a command, it can use recall.
The point: recall isn't a plugin for one assistant. It's a memory layer under the whole ecosystem — whatever AI (or mix of AIs) your team uses, they all read and write the same project brain, so the engine gets stronger no matter who's driving.
The gate: orient before you edit
Before editing any code file, run recall brief <file> first. recall and grep are not alternatives — they run in order:
- Orient —
recall brief <file>(orrecall "<question>"): what must I know
before I touch this? Open tasks, the why, the blast radius. The step grep can't do.
- Locate —
grep/ read: the exact string, the whole file. And before you grep
a name you're guessing, run recall resolve <guess> (Search-inversion).
- Edit — now, with both the why and the where in hand.
The agent rule: CLI, not MCP
If you spawn subagents (a review fleet, an audit workflow), each one starts blank — it doesn't inherit your session's memory or MCP connection. **MCP servers are session-scoped, so a spawned subagent cannot see the recall MCP tools** (measured). So an agent reaches recall through the CLI via the shell:
recall brief <file> --terse # the machine-first pre-edit briefing
recall "<concept>" --terse # locate by concept
recall resolve <guess> --terse # correct a guessed term
**Every finder/reviewer/auditor agent you spawn must recall brief <file> --terse before it judges that file.** A blank agent re-derives intent from code alone and raises false alarms about decisions made on purpose. Measured A/B (2026-06-14): a recall-less agent raised ~4–5 false alarms a recall-first agent didn't — while the recall-first agent also found a real bug the other missed. recall-first is less noise AND not blind.
MCP stays the path for the main interactive session and real users in Claude/Cursor.
The 6 dimensions
After every feature and before every push, walk the canonical audit raster in docs/audit-dimensions.md: **Auth-Guard · Audit-Log · Zod/Validation · Error-Handling (res.ok) · State-Updater · No-Client-Secrets/Cleanup**, plus the standing security lenses (business-logic/race/money, injection/takeover). Run it recall-first; verify findings adversarially (most raised findings are false alarms).
The flywheel
Every commit makes the code smarter and every suggestion richer — passively. The search-inversion synonym layer literally learns from what searches landed; the trail/territory work (post-launch) deepens it. Old human code is dumb at first, so the suggestions are dumb at first; they warm with use, and the curve is measurable.