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Snipara

For engineering teams: Snipara captures what changed, why, and impacts so Claude, Cursor, and coding agents pick up context without starting from zero.

Built by Alexandre Lopez · Artificial Intelligence · Developer Tools · Freemium

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In category: #1508 of 2030 · Artificial Intelligence

Snipara is an Instant Launch listing on Launch Llama with 2 total upvotes, founded by Alexandre Lopez who joined in Jun 2026, compared against 6 alternatives.

Instant Launch listing

Listing status

2upvotes

Community score

Alexandre Lopez (Joined Jun 2026)

Founder

Launched on Launch Llama Jun 11, 2026 · #22 of 32 that day

Snipara

About

Snipara is the organizational memory and continuity layer for AI coding agents. It gives Claude Code, Codex, Cursor, and engineering teams a shared understanding of what changed, why it changed, what it impacts, and how it should be verified—so work doesn't start from zero every session.

Use Cases

  • Resuming a coding task in a fresh Claude Code or Codex session from a saved checkpoint without re-explaining the plan, completed tasks and evidence
  • Giving Claude, Cursor or other coding agents shared project sources and reviewed decisions so they start with project context
  • Running configured coding tasks with separate validation and independent review before changes are accepted and integrated

Who it is for

  • Engineering teams using coding agents such as Claude Code, Codex or Cursor on shared projects.
  • Developers who hand off long-running coding work between sessions or between different coding agents.

Pricing

The Snipara plugin and its MCP connection are free but require a Snipara account.

View Snipara pricing →

FAQ

Can Claude Code work be resumed by Codex?

Companion can resume saved workflow state when the next coding tool has access to the project folder with its saved .snipara state and artifacts, and the project’s Snipara MCP. One local Claude Code to Codex test preserved the plan, completed tasks, attempt counters and evidence, then passed 21 independent checks. This is checkpoint continuity, not migration of a live process. MCP-only restoration and Orchestrator controller transfer were not tested.

What is Snipara?

Snipara is a persistent, model-agnostic harness for coding agents. It combines project context and reviewed memory with Companion workflows and Orchestrator execution, external validation, independent review and controlled integration.

What is a coding agent harness?

A coding agent harness is the system around a model that supplies context, scopes its work, manages execution and checks changes. The model proposes code; the harness defines the workflow and the conditions for accepting it.

Does Snipara replace Claude Code, Codex, Cursor, or ChatGPT?

Your model and coding client still reason and use tools. Snipara supplies project knowledge and workflow controls. MCP context access and native execution support are different capabilities; native execution depends on the configured adapter.

How is Snipara different from a context tool?

Context and memory ground the work. Companion tracks the plan and phases; Orchestrator can execute bounded tasks and bind validation and review to a candidate before controlled integration. A passing test alone does not approve a change.

Which configurations have been tested?

An isolated Claude CLI journey reached acceptance with a test-local launcher. Qwen3 Coder Next through LM Studio passed external validation, then independent review refused a defect and blocked integration. These tests use one exposed development fixture and do not establish general model reliability.

Alternatives

ContextPoolFor AI coding teams: ContextPool gives your agent persistent memory by extracting bugs, fixes, and design decisions from past sessions and loading relevant context automatically.PMBFor AI coding users: PMB gives Claude, Cursor, and Zed persistent project memory so agents understand your codebase without re-explanation.HardenFor engineering teams: Harden secures AI coding agents by checking tool calls before execution, keeping your repo and outputs local while preventing malicious actions.CluingFor teams: Cluing connects your saved knowledge with AI agents so you transform insights into action without technical setup.AI Engineering Governance KitFor developers: AI Engineering Governance Kit documents decisions and context so your AI coding assistant remembers why code was built.SpineFor product teams: Spine manages AI agent swarms that research, build documents, generate presentations, and create prototypes from one prompt.

New on Launch Llama

Launched this week · This month's launches · All products A–Z

Tags

#agent memory#context continuity#code change history#engineering teams#claude code#cursor integration#change impact analysis#session context

Ask AI about Snipara

ChatGPT Claude Perplexity Grok

Supporters

1 founder

1 founder supported Snipara on Launch Llama.

Reviews

1 comment

Alexandre LopezComment
Jun 13, 2026

Thanks! The idea came from scratching my own itch. I was spending too much time managing information across different tools and wanted a faster, more focused workflow. I built an early version for myself, kept refining it, and eventually decided to share it. The response so far has been incredibly motivating! 🚀

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