Give every AI agent organizational memory.
Snipara is not another agent runtime to replace your coding tool. It is the durable continuity layer those agents share before they write, review, verify, or hand off work.
# before first edit
$ snipara.start_work_brief()
ok decisions: 12 active
ok impacted symbols: 7
ok resume point: verify phase
ready same context as the team
The model still reasons and executes in the user's chosen tool. Snipara prepares the project-owned context that makes the session continuous.
Agents are a usage mode of organizational memory, not a separate product.
This keeps the menu and pricing simple: one Snipara product, one shared continuity layer, many compatible agent clients.
Hosted MCP
Claude Code, Codex, Cursor, VS Code, and other MCP clients can retrieve the same project context.
Code Graph
Agents get callers, imports, shortest paths, impact chains, affected symbols, and test hints before editing.
Snipara Sandbox
Use repeatable execution evidence when validation matters and another agent needs to replay the proof.
Companion workflow
Long agent tasks keep phase state, resume points, and handoff context outside the transcript.
Reviewed memory
Important facts can carry authority, freshness, source links, and stale warnings before agents act.
The agent can change. The memory path stays stable.
Snipara does not require teams to standardize on one coding client. It gives each client the same source-aware project context, then lets the selected model do the reasoning and execution.
connect
The agent reaches Snipara through Hosted MCP or API.
brief
Snipara returns decisions, impacted files, code graph context, and the resume point.
work
The agent edits in its normal tool while organizational memory stays outside the session.
persist
Reusable decisions and handoff context return to the workspace for the next agent.
Same context, every agent.
Start free with complete context, reviewed memory, and one included swarm.