Decispher
Team decisions and memory for AI coding agents
Free featured launchLaunches November 16, 2026
Quick answer
What is Decispher?
About Decispher
Decispher targets a common problem with coding agents: each session starts without knowing what the team already agreed. Its Context Engine extracts decisions from where they were actually made, such as Slack threads, code reviews and tickets, merges repeated statements into one record and serves them to agents through MCP. A separate Memory product keeps individual working preferences across sessions, and Worker, still in early access, takes delegated engineering tasks and returns reviewable pull requests. Each part can be used on its own. Billing is credit based rather than per seat, with packs starting at 9 USD for 100 credits, 50 free credits on signup and no expiry.
Key features
- Captures team decisions from Slack and GitHub discussions
- Serves decision context to agents over MCP
- Memory layer for preferences across sessions
- Worker agent for delegated tasks, in early access
- Per project credit caps with an itemized ledger
- Credits that never expire
Pricing details
Credit packs start at 9 USD for 100 credits, larger packs lower the cost per credit, and new accounts receive 50 free credits.
Decispher at a glance
AI generated reviewBased on what the product's site says, Decispher tries to hand coding agents the institutional knowledge a new engineer would absorb over months, by mining decisions from team conversations. Its credit ledger and per project caps are aimed at teams worried about unpredictable agent spend.
- Best for
- Engineering teams running several coding agents who keep repeating the same context.
- Not ideal for
- Solo developers content to maintain a single rules file by hand.
Pros
- Pulls decisions from existing conversations instead of hand written rules
- Modular products that each work alone
- Published per action credit costs
Cons
- Worker is still in early access
- Seats may be capped, with a waitlist when full
- Value depends on how much decision history lives in Slack and GitHub
Verdict
Decispher is an interesting answer to stale agent rule files for teams with rich discussion history. Smaller setups may get similar results from a carefully kept instructions file.
AI generated from Decispher’s own public pages on November 13, 2026, not yet checked by an editor. It is not a Techavy rating and carries no score. How we review
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Decispher FAQ
What is Decispher?
Decispher targets a common problem with coding agents: each session starts without knowing what the team already agreed. Its Context Engine extracts decisions from where they were actually made, such as Slack threads, code reviews and tickets, merges repeated statements into one record and serves them to agents through MCP.
How much does Decispher cost?
Decispher uses a paid pricing model, from 9 USD per credit pack. Check the official site for current prices.
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