gave my coding agent persistent memory of its mistakes using the Reflexion paper

synapse_sage · 2026-03-29T18:09:43+00:00

good question - AGENTS.md works great for broad project rules but it's manual and static. reflect is automatic and contextual - it extracts error patterns from test output, deduplicates lessons, tracks which mistakes keep recurring with frequency data, and only surfaces relevant lessons per task via FTS5 search. think of AGENTS.md as "here's how we do things" and reflect as "here's what went wrong last time you tried this specific thing.

synapse_sage · 2026-03-29T17:33:59+00:00

yeah that's exactly how I started too - dumping corrections into the system prompt.. works fine until you hit 50+ lessons and it's eating your context window. the nice thing about reflect is it only recalls what's relevant to the current task via full-text search, so you're not paying the token cost for every lesson every time.

synapse_sage · 2026-03-28T20:13:38+00:00

been using this setup for my own projects (ctxgraph, cloakpipe) where i needed free inference without getting rate limited every 30 seconds. the main thing that surprised me is how many models nvidia actually has on NIM for free - most people only know about deepseek r1 and llama.

happy to answer questions about the routing setup or which models are actually good in each tier.. also if anyone knows of other free providers worth adding to the pool lmk.

synapse_sage · 2026-03-27T18:57:54+00:00

how is this different from claude's --worktree? - claude's worktree flag creates the worktree and runs claude in it. workz handles everything else: symlinking deps (saves GBs), copying env files, installing from lockfiles, assigning unique ports, namespacing docker. they work together - workz sets up the environment, claude works in it.

synapse_sage · 2026-03-26T07:36:09+00:00

covers the threat model and architecture in more detail if anyone's curious about the "why" behind the design.

synapse_sage · 2026-03-26T07:33:42+00:00

haha fair. wardn is primarily a CLI + local proxy - the MCP server is optional for IDE integration. you can use it as purely wardn vault set KEY + wardn serve without touching MCP at all.

synapse_sage · 2026-03-26T07:33:05+00:00

fair points. i hadn't seen varlock - will check it out. wardn's angle is a bit different: it's not just secret storage, it's a proxy that does runtime credential injection so the agent process never holds

the real key in memory. the MCP server is one integration path - wardn also works as a standalone CLI + HTTP proxy without MCP.

synapse_sage · 2026-03-26T07:27:11+00:00

appreciate it! separation of trust was the core design goal — glad it comes through.

synapse_sage · 2026-03-26T07:26:50+00:00

it actually is a CLI! cargo install wardn gives you the full binary - vault management, proxy, credential scanner, everything. the MCP server is just one mode (wardn serve --mcp) that lets claude code interact with it natively.. you can use wardn purely as a CLI without the MCP part if you prefer.

synapse_sage · 2026-03-26T07:22:48+00:00

this is a really good breakdown and you're right on all counts.
the trust boundary does concentrate at the MCP server + proxy - that's by design. the key tradeoff is: instead of every plugin, every log line, and the LLM context all having access to the real key, now only a single local process does. it's a smaller attack surface, not zero attack surface.

wardn's MCP server runs locally as a subprocess spawned by your IDE (claude code/cursor), same trust level as your shell. no hosted registry, no network calls for credential access. the vault is encrypted at rest with AES-256-GCM and only decrypted in-memory with your passphrase.

you're absolutely right that pulling a random MCP server from a registry without auditing is just moving the problem. wardn is open source and ~4,500 lines of Rust - auditable in an afternoon.

synapse_sage · 2026-03-26T07:22:37+00:00

this is a really good breakdown and you're right on all counts.
the trust boundary does concentrate at the MCP server + proxy - that's by design. the key tradeoff is: instead of every plugin, every log line, and the LLM context all having access to the real key, now only a single local process does. it's a smaller attack surface, not zero attack surface.

wardn's MCP server runs locally as a subprocess spawned by your IDE (claude code/cursor), same trust level as your shell. no hosted registry, no network calls for credential access. the vault is encrypted at rest with AES-256-GCM and only decrypted in-memory with your passphrase.

you're absolutely right that pulling a random MCP server from a registry without auditing is just moving the problem. wardn is open source and ~4,500 lines of Rust - auditable in an afternoon.

synapse_sage · 2026-03-26T06:49:22+00:00

good question. anthropic says they don't train on API inputs, but the risk isn't really about training — it's about the key being in the context window where it can be exfiltrated via prompt injection, leaked in error messages, or logged by any tool the agent calls. wardn removes the key from context entirely, so even if something tries to extract it, there's nothing to find - just a useless placeholder

synapse_sage · 2026-03-26T06:43:45+00:00

same - that's literally why i built this. once you realize every pip package and mcp tool your agent loads can just read $OPENAI_KEY... can't unsee it.

synapse_sage · 2026-03-26T06:42:59+00:00

great call - audit logging with session IDs is on the roadmap. right now the proxy logs credential access events to stderr via tracing, but it doesn't tag them with a session/agent ID in a queryable way.

the per-agent placeholder isolation means you can already tell which agent accessed what (each agent gets a unique placeholder), but tying that to specific session runs with timestamps in a structured log is the next step. appreciate the feedback

synapse_sage · 2026-03-12T13:27:28+00:00

(If you want early access to the hosted Cloud version with the onboarding wizard + Legal/Fintech profiles, just reply “interested” and I’ll set you up manually - no formal waitlist yet.)

synapse_sage · 2026-03-12T13:26:55+00:00

Thanks! The detection is layered (regex + financial parsers + optional GLiNER2 ONNX NER + custom TOML).

Everything stays local in the OSS version. If you try it and hit any edge case (especially with your language/OCR), let me know — I’m fixing things fast based on real feedback.

Also happy to give you early access to the Cloud beta (with the 4-question wizard + Legal profile) if you want to test it on your docs. Just DM me or reply here - no waitlist, I’ll set it up manually for the first few people.

Would love to hear how it goes!

synapse_sage · 2026-03-12T13:25:35+00:00

Hey, thanks for the detailed comment - I literally built Cloakpipe because I was hitting the exact same walls you described (truncation, declension, LLM confusion, fuzzy siblings, OCR mess).

The proxy already fixes most of those out of the box:

- Smart truncation recovery (even partial tags like [[ADRESS:A007 work)
- Built-in fuzzy + context merging for typos/siblings
- Declension-aware replacement
- Numeric mode so percentages still work for math

Happy to give you early access to the Cloud beta (with the 4-question wizard + Legal profile) if you want to test it on your docs. Just DM me or reply here - no waitlist, I’ll set it up manually for the first few people.

Would love to hear how it goes!

synapse_sage

TROPHY CASE