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
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
Compared against 6 alternatives
Market comparison
Launched on Launch Llama Jun 11, 2026 · #22 of 32 that day
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.
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.
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Supporters
1 founder
1 founder supported Snipara on Launch Llama.
Reviews
1 comment
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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