ContextStream captures decisions, fixes, and corrections while you work. Your next AI session starts already knowing them.
Starter is free with 3,000 Context Credits every month. Pro includes 25,000 for $19/month.
Same agent and repo, memory connected: 23/24 vs 14/24.
Full 500-run result: matches Zep, beats supermemory.
A useful file reached the top 10; a best-answer file did so 93.83%.
Passed when the needed runbook or decision was not in code.
One benchmark tests whether memory survives long conversations. The other tests whether useful code reaches the top 10.
| System | Score | Standing |
|---|---|---|
| ContextStreamYou are here | 90.0% | Statistical parity |
| Zep | 90.2% | Inside our 95% CI |
| supermemory | 85.4% | 4.6 pt behind |
| ByteRover | 92.8%† | Different judge |
StandingMatches Zep within the 95% confidence interval and leads supermemory by 4.6 points.
† ByteRover used a Gemini judge, so its reported score is shown but not ranked against the official GPT-4o results. Competitor scores are vendor-published.
| System | Useful @10 | Best answer @10 |
|---|---|---|
| ContextStream AutoLeads relevance | 99.38% | 93.83% |
| Embedding only | 85.80% | 72.84% |
| ripgrep | 68.52% | 42.59% |
StandingLeads this independently judged relevance comparison on both useful-file and best-answer recall.
Local baselines still win speed: roughly 12–13 ms p50 versus 95 ms hosted.
You spend the next session repeating work the last one already settled.
You type the same repo explanation for the third time this week.
You re-correct a mistake you already corrected.
You review edits you already ruled out.
With the same agent and repo, 23 of 24 tasks passed with memory connected, compared with 14 of 24 without it.
ContextStream keeps project memory alive across people, tools, sessions, and AI agents.
Decisions, fixes, and corrections are saved automatically and scoped to the right repo.
The right project memory is ready before your agent changes code.
Each correction, fix, and decision improves what comes next.
You can also direct a save anytime.
One memory layer, three ways in: a stream of what your project learned, a map of how it connects, and portable bundles for handing context to the next person or agent.
Stop writing context docs. See what got decided. Review it in seconds.
Read more →Stop answering “What will this touch?” Decisions are mapped to the files they affect.
Read more →Onboard without the meeting. Every link is scoped and revocable. It expires on schedule.
Read more →The same project memory follows you across tools (via MCP), so you can switch agents without losing what your project knows.
It kept the entire workflow grounded and continuous—from the first question to the final result.”
Persistent memory across every tool you use. Your project context follows you.
Review fewer wrong edits. Your agent sees what a change touches before editing.
Nobody re-explains the repo to a new hire. Shared context starts them ahead.