Git diff, changed files, commits, local notes, and project state that survived the old session.
AI coding memory.
AI coding memory for the whole workflow.
Recover. Verify. Orchestrate.
ShardStitch keeps local memory, verified working state, and tool context together across Claude, Cursor, Codex, Gemini, and more - recovering failed sessions, routing work to the right tool, and preserving control when the workflow changes.
Memory, verification, and routing stay local. The next tool gets the context it needs without inheriting the old session's noise.
Trust guardrail
The packet is not a dump.
It is a guardrail.
Your last tool said the tests passed. The diff says they did not. ShardStitch tags that line INFERRED, so the next AI treats it as a claim to re-check - caught and quarantined before the next agent builds on it.
The labels are enforced through the handoff packet and MCP tools. The next tool sees what is verified, what is inferred, and what must be checked before continuing.
Old tool summary says the refactor is clean.
Changed files show the failing assertion was never updated.
The next AI must verify before building on this line.
Continuation packet
Everything the next AI needs.
Nothing it should blindly trust.
A local packet for the next model: verified disk facts, inferred claims, files, decisions, tests, risk, and the next action bundled into one clean handoff instead of a transcript dump.
What the previous AI appeared to believe, labeled so the next tool checks before trusting it.
Constraints, rejected approaches, and choices that are still load-bearing for the task.
One smallest action, plus tests and danger zones, so the next agent starts grounded.
Start with the exact failure.
Then recover the work.
These are the pages already getting search traction: Roo Code stuck requests, Graphify alternatives, OpenCode hangs, ChatGPT thinking loops, Kiro cache fixes, Claude usage limits, and Codex recovery questions.
Preserve changed files, errors, failed attempts, and next action before retrying.
GraphifyAlternative or vs Headroom?Compare project maps, live context, indexing, and recovery by the job.
OpenCodeStuck, hangs, or keeps stoppingCheck whether the write already landed before killing a stuck, preparing-write, or tool-call loop.
ChatGPTStuck on thinkingSave the useful coding state before refreshing Thinking, one last tweak, thinking failed, or Generating.
KiroClear cache safelyDiagnose shell integration and cache state before wiping a frozen Kiro task.
GitHub CopilotSend button disabledRecover the current diff and restart from one bounded action when Copilot chat cannot continue.
ClaudeUsage limit reachedPreserve project state before waiting for reset, changing models, or switching tools.
CodexCLI stuck or frozenRecover the terminal state, files, and next command when Codex stops mid-task.
The interrupted-task
test.
Restart clean before the session degrades.
Start a feature, make messy changes, hit an error, then let the session die. ShardStitch rebuilds the next packet from what survived on disk.
The 30-second stitch
Read disk.
Rebuild the working state.
Git diff, changed files, recent commits, local notes, and tool logs.
Dependency impact, god nodes, dangerous files, and working intent.
CLAUDE.md, AGENTS.md, GEMINI.md, .cursorrules, or a clean clipboard prompt.
Your code stays
on your machine.
By default.
License validation goes to Polar at activation and during a quiet periodic re-check. No telemetry, code, or conversations are sent. Chat-share import and a cloud LLM you configure use the network only when you explicitly enable them.
Stop losing context.
Start switching instantly.
Recovery runs locally. One payment. Lifetime license. Continue in whatever AI tool the work needs next.
- Windows, macOS, and Linux desktop apps.
- Local dashboard, Alt+G capture, CLI, and VS Code/Cursor extension
- 49 MCP tools and 31 AI handoff targets across native integrations and web-chat handoff
- Web-chat clipboard handoff for additional AI tools
- Recovery stays local. Polar handles license activation and periodic validation; no code or conversations are uploaded.
Recovery, not sync
Works after you are
locked out.
Built for the messy cases: dead sessions, stale context, deleted threads, rate limits, and summaries you do not fully trust. ShardStitch rebuilds from disk truth, separates facts from inferred next steps, and hands the next AI a clean recovery state.
Two ways out
Choose the path
the work needs.
Restart clean without losing the work.
When a long coding chat turns sluggish, circular, or vague, ShardStitch extracts the useful working state into a fresh continuation prompt instead of compressing the mess in place.
Continuity prompt stitcherSwitch tools without starting over.
When Claude, Codex, Gemini, Cursor, or another tool cuts you off, ShardStitch moves the live session with git state, files, architecture, dependency risk, and intent intact.
Cross-tool recoveryFix the problem
you actually have.
Use the focused guide when a tool is blocked or spinning. Each starts with the direct troubleshooting path, then shows how to preserve the surrounding work before a retry, a fresh session, or a tool switch.
API request stuck or failed?
Check the provider, context, local model, and extension state without losing the diff.
API request stuck or failed?
Separate checkpoint, provider, and stale-task failures before starting another loop.
AI coding limits interrupted work?
Handle Claude, Cursor, Codex, and Roo limits while keeping the next session grounded.
Looking for a Graphify alternative?
Choose a project map, live context layer, or interrupted-task recovery by the job you need done.
More practical fixes: ChatGPT stuck thinking · OpenCode stuck or hangs · Claude usage limit reached · Codex CLI stuck.
Not longer context.
A verified recovery state.
Longer context still gets messy. ShardStitch produces a forward brief, not a backward summary: the next AI gets the starting state, current risks, and next action without replaying every dead end. The packet becomes the next session's ground truth: lean, verified, and tied to what actually changed on disk.
Git-aware state
Changed files, uncommitted work, branch name, commits, and the current edit surface.
Dependency graph
Impact radius and god-node detection warn the next AI what is dangerous to touch.
31 AI handoff targets
Native pickup-file and MCP paths plus clean web-chat handoff. Devin and Windsurf are listed separately and share a compatible formatter path.
49 MCP tools
Claude Code, Cursor, and Devin call ShardStitch directly from inside the AI session, scan, recall, handoff, council, and more, without leaving the chat.
Session Vault
Always-on local recovery history keeps surviving conversation context available after crashes, closes, outages, or tool bugs.
Durable Recovery Protocol
Every recovery separates verified work from inferred next steps: disk facts, changed files, confirmed decisions, failed attempts, verification status, and the next action. No transcript dump. No guesses mixed with truth.
ShardStitch vs the field.
Adjacent tools solve different parts of the AI coding workflow: map the repo, manage live context, record conversations, or store memory. ShardStitch focuses on the failure boundary after a session stalls, disappears, reaches a limit, or needs to move to another tool. It reconstructs the unfinished working state from surviving project evidence and marks what is fact versus inference.
| Capability | ShardStitch | Graphify | Headroom | SpecStory | Mem0 |
|---|---|---|---|---|---|
| Primary job | Post-session recovery and cross-tool handoff | Queryable project and knowledge graph | Live context management | Conversation history | Persistent application memory |
| Works after the session ends | Yes - rebuilds from project evidence | For material already mapped | Not its primary boundary | For saved conversation history | For memory already stored |
| Rebuilds working state from disk | Diff, changed files, verified facts, failed attempts, next action | Maps project material | No | No | No |
| Cross-tool continuation | Tool-aware pickup for the next AI | Shared project graph | Live context workflow | Conversation history | Application memory layer |
| Verified-vs-inferred trust split | Yes | Graph edges have their own provenance model | Not the primary feature | Not the primary feature | Not the primary feature |
| Best used for | Continuing work after a crash, limit, lockout, or tool switch | Understanding project structure | Keeping a live prompt manageable | Reviewing AI conversations | Adding memory to an application |
| Key boundary | Recovery does not replace a full graph or live index | A project map does not automatically know the unfinished task | Live context control does not reconstruct a dead session | History does not verify the current filesystem | Stored memory is not the same as current project state |
| Pricing model | $49 once, lifetime | See product | See product | See product | See product |
Aider, Amazon Q, Amp, Antigravity, ChatGPT, Claude Code, Claude Desktop, Claude.ai, Cline, Codex, Crush, Cursor, DeepSeek, Factory Droid, Gemini (web), Gemini CLI, Grok, Kilo Code, Kimi, Kiro, OpenClaw, OpenCode, Perplexity, Qwen Code, Roo Code, Trae, Devin, Windsurf, Z.ai (GLM), Replit, Lovable.
Better models make us
stronger, not obsolete.
Native AI memory is improving, but it mostly stays inside one product. Real coding work does not. You plan in Claude, edit in Cursor, debug in Codex, check with Gemini, and then hit a limit, a stale chat, or a tool switch. ShardStitch sits outside those walls: it keeps the portable project state, then gives the next tool the verified slice it needs.
The model can get cheaper, faster, and local. The hard part is still the same: what state do you feed it, what decisions does it inherit, and can that working state move when the next tool is not the same tool?
The honest read: the pattern is now confirmed across the competitors we checked. Vexp and CodeIndexer specialize in live code indexing and context retrieval. Hjarni, Jotflow, and handoff skills help when memory or chat artifacts were saved on purpose. ShardStitch overlaps the live workflow too: Hivy, Council, Recall, Blueprint, Oracle Router, checkpoints, and 49 MCP tools are there before the wall. The confirmed gap is narrower and more important: when the old session is already gone, stale, locked out, deleted, untrusted, or moving tools, and no clean note was written. ShardStitch rebuilds the continuation packet from disk truth.
Detailed comparisons: CodeIndexer live code indexing · Vexp live context · Vectoralix hosted MCP servers · Entire git-stored agent sessions · Jotflow chat files · Hjarni hosted memory · Manifest markdown memory · Mem0 agent memory infrastructure · Conare B2B context infrastructure · Knowit local MCP memory · RecallMCP Claude Code memory · MemoryLake AI memory lake · MuninnDB memory database · Memeri shared AI workspace · kube-coder workspace memory · MIND personal knowledge graph · Graphify · AgentsRoom · CtrlNode live agent control · Headroom context compression · cli-continues session handoff · SpecStory conversation history
Built for the
failure moment.
Does ShardStitch need the old AI session alive?
No. It reads what survived on disk: git state, changed files, recent commits, local session files, notes, dependency structure, and project memory.
Why not just use /compact, plan.md, or resume from summary?
Those are good Claude-native workflows when you catch the problem early and want to stay inside Claude. ShardStitch handles the rougher cases: you forgot to compact, the summary missed repo state, notes drifted, usage is already blocked, or you want to continue in Cursor, Codex, Gemini, or another tool. Claude can resume a conversation; ShardStitch builds a verified continuation packet from local project state.
What if I just watch my usage window and avoid big tasks near the limit?
That is a smart workflow. Watching usage helps you avoid predictable cutoffs. ShardStitch is for the cases where the task runs long anyway, the session is already bloated, or the work is mid-flight and waiting for reset would break momentum.
Does my code leave my machine?
Not during normal recovery. Formatting, memory, dashboard, CLI, MCP, and extension workflows are local, with no telemetry or cloud sync. License validation goes to Polar at activation and during a quiet periodic re-check; no code or conversation content is sent. Chat-share import and a cloud LLM you configure use the network only when you explicitly enable them.
Which operating systems are available?
Windows, macOS, and Linux builds are available now.
Will it help on the first day I install it?
Yes. Git history and the working tree already exist. Persistent memory improves future handoffs, but setup in advance is not required for recovery.
Which tools are supported?
ShardStitch supports 31 AI handoff targets: native pickup-file and MCP integrations for coding tools such as Claude Code, Codex, Cursor, Aider, Cline, Roo Code (archived May 2026), Gemini CLI, Kiro, OpenCode, Devin and Windsurf, and more. Web chats such as ChatGPT, Claude.ai, Gemini, Grok, DeepSeek, Perplexity, Z.ai, Replit, Lovable, and Kimi use clean clipboard handoff.
Is this a subscription?
No. ShardStitch is $49 as a one-time lifetime license, with no subscription or recurring fees.