aictx 6.5.1

Repo-local continuity runtime for coding agents

AICTX

Operational continuity for AI coding agents.

AICTX helps Codex, Claude, GitHub Copilot and other coding agents continue work across sessions by preserving the last useful execution state: active work, next actions, decisions, failures, validation evidence and repo context.

The next agent does not start from zero. It resumes from what actually happened.

Website: https://aictx.org
PyPI package: https://pypi.org/project/aictx/
CLI: aictx

It is a repo-local CLI/runtime layer for agent continuity. It stores inspectable artifacts under .aictx/ and exposes one agent-facing resume command plus one finalize command.

AICTX is Codex-first, GitHub Copilot-aware, Claude-aware, and generic-agent compatible.

Quickstart · Installation · Continuity View · Demo · Technical overview · Official project

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The problem

Coding agents are powerful, but most sessions still start cold:

• they rediscover the same repository structure;
• they reopen broad docs before the relevant source or test;
• they repeat failed commands or stale assumptions;
• unfinished work depends on chat history instead of repo-local state.

AICTX makes that continuity repo-local, inspectable, and reusable.

Install

Install AICTX, then initialize the repository:

pip install aictx
aictx install
aictx init
aictx --version

After that, keep using your coding agent.

The generated repo instructions and hooks guide supported agents to call AICTX automatically. The normal user experience is:

install -> init -> use your coding agent

See Installation and Quickstart.

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The operational continuity loop

resume useful context -> do the work -> finalize evidence -> next session continues

AICTX stores continuity locally under .aictx/, so it is inspectable, reviewable and not dependent on hidden chat history.

What changes?

Without operational continuity

A new agent session starts cold.
It scans README, docs, Makefile and source files.
It rediscovers decisions.
It may repeat failed commands.
It asks for context that already existed.

With AICTX

The agent runs one resume command.
It sees active work, next action, known failures and validation path.
After work, it finalizes factual evidence for the next session.

AICTX turns disconnected agent sessions into a continuous operational workflow.

Inspect the continuity

aictx view --repo .

AICTX can render the current operational state of a repository as local Markdown and Mermaid:

.aictx/reports/continuity-view.md
.aictx/reports/continuity-map.mmd

Not hidden memory. Reviewable operational continuity.

Continuity View documentation · Image asset

What AICTX preserves

AICTX focuses on operational facts that help the next agent continue useful work:

• active Work State and next action;
• execution summaries and handoffs;
• explicit decisions;
• known failures and resolved failure patterns;
• strategy hints from successful prior work;
• execution contracts and contract-compliance signals;
• optional RepoMap structural entry points;
• optional Git-portable continuity for small teams.

What AICTX is not

AICTX is not an autonomous coding agent, a cloud memory service, a vector database, a dashboard, a replacement for human review, or a guarantee of correctness, productivity gains or token savings.

It is a repo-local operational continuity layer used by cooperating coding agents.

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Core capabilities

Capability	What it does	Why it matters
Work State	Preserves active task, hypothesis, files, next action, risks, and verification state	The next session knows what was in progress
Failure Memory	Stores observed command/test/build/type/lint failures as structured patterns	Agents can avoid repeating known mistakes
RepoMap	Optional Tree-sitter structural map of files and symbols	Agents get compact structural entry points for “where should I look first?”
Strategy Memory	Reuses successful prior execution patterns	Known-good approaches can be suggested again
Handoff / Decisions	Keeps operational summaries and explicit project decisions	Architecture and intent survive session boundaries
Execution Summary	Captures what happened at finalize time	The next session starts from factual continuity
Continuity View	Generates .aictx/reports/continuity-view.md and .aictx/reports/continuity-map.mmd from repo-local continuity	Users and agents can inspect active Work State, handoffs, failures, contracts, summaries, RepoMap hints, and portability in one deterministic Markdown/Mermaid view
Contract Compliance	Audits first action, edit scope, validation, and structural alignment	Gaps can carry over into Work State instead of disappearing
Doctor	Read-only repo/runtime diagnostic with aictx doctor --repo . --json; add --release-readiness for strict aictx release-gate checks	Support uses a general repo diagnostic while releases keep stricter checks
Resume capsule	Compiles continuity into one agent brief	Agents do not need to discover AICTX internals at startup

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Supported agents

AICTX is runner-aware, not runner-locked.

• Codex-first: AGENTS.md, optional global Codex setup, CLI/runtime JSON contract.
• Claude-aware: CLAUDE.md, .claude/settings.json, .claude/hooks/aictx_*.py.
• GitHub Copilot: best-effort instruction hardening through .github/copilot-instructions.md, .github/instructions/aictx.instructions.md, and optional prompt files created by aictx init.
• Generic fallback: any agent that can read repo instructions, run CLI commands, and consume JSON/Markdown.

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Documentation

Start here:

• Installation
• Quickstart
• Demo
• Technical overview

Core concepts:

• AI coding agent memory
• Repo-local continuity
• Operational continuity
• Failure memory for coding agents
• Work State
• RepoMap
• Failure Memory
• Strategy Memory
• Handoffs and Decisions
• Execution Summary
• Execution Contracts and Compliance
• Doctor diagnostics

Use cases and comparisons:

• Codex operational continuity
• Claude Code operational continuity
• GitHub Copilot operational continuity
• AICTX vs AGENTS.md
• AICTX vs long context
• AICTX vs vector databases
• AICTX vs chat history

Operations and trust:

• Usage
• Cleanup
• Safety
• Limitations
• Upgrade
• Release checklist
• Contributing

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Current limits

AICTX improves continuity only when agents or integrations cooperate with the runtime contract. File access, commands, tests, and failures are strongest when passed explicitly or captured through wrapped execution.

AICTX does not claim measured productivity gains, guaranteed speedups, or automatic correctness.

It makes operational continuity visible, inspectable, and reusable.