CHANGES

v0.0.15 (2026-06-26)

New features

• /model mode [MODEL] {structured|prose|inject|none}: set or display the tool-execution strategy for a model. The mode is persisted in the model cache (agents/model_cache.db) and survives sessions and re-probes. Modes: structured (OpenAI tool_calls), prose (JSON-fence fallback), inject (pre-inject file content, no tool calls), none (plain text).
• File-reference injection (option 1): when a model’s tool mode is inject or when the cache shows it does not reliably call tools, Harvey now automatically scans the user’s prompt for path-like tokens, reads any matching workspace files (≤ 64 KB, text extensions only), and prepends their content as ### File: blocks before sending the prompt. Models that ignore the tools schema can now work with file content without the user manually pasting it.
• Cannot-read retry (option 2): if a model responds with a phrase indicating it cannot access a file (e.g. “I cannot directly read files on your system”), Harvey retries the turn once with the referenced file content pre-loaded via file-reference injection. The retry uses RunToolLoop when the model is in structured mode so tool calls in the retry response are correctly dispatched.
• ModelCapability.ToolMode field and ToolMode* constants added to the model cache. The tool_mode column is added to existing databases automatically on first open (idempotent ALTER TABLE).

Bug fixes

• FastProbeModel no longer sets ToolMode = ToolModeStructured when probing a tool-capable model. Re-probing now preserves any mode the user set via /model mode. Tool dispatch continues to work via the existing SupportsTools == CapYes fallback in toolsReliable().
• Option-2 retry: toolCallRecords is now cleared before the history rollback, preventing rolled-back tool calls from appearing in the Fountain session transcript paired with the retry response.
• Option-2 retry: noToolCalls is now computed correctly after an option-2 retry. A hadToolCalls flag is captured before the rollback so that autoExecuteReply does not fire on the retry response when the first pass executed tool calls.
• Option-2 retry: when useStructuredTools is true, the retry now calls RunToolLoop instead of Client.Chat directly, so structured tool calls in the retry response are correctly dispatched and recorded.
• cantReadPhrases entry "please provide the file" tightened to "please provide the file content" to avoid spurious retries when a model asks for a file path rather than refusing file access.
• Exported ToolMode* constants now have /** … */ block-doc comments per the project documentation convention.

v0.0.14 (2026-06-21)

New features

• Llamafile is now the primary language model backend: startup sequence shows registered llamafiles first, auto-selects on preferred model match, then falls back to Ollama models
• Explicit connection feedback: “Connecting to NAME (llamafile)… ✓” shown in terminal on backend selection and after startAndUseLlamafile
• Stale server adoption: Harvey detects a running llamafile server it did not start, probes its model via /v1/models, warns on model mismatch, and adopts it rather than refusing to start
• /llamafile show [NAME]: displays name, path, file size, and configured context length for a registered model
• /rag show [NAME]: displays store name, database path, embedding model, chunk count, and model map
• Remote RAG ingest extended: sftp://, scp://, http://, and https:// URIs now supported alongside s3://
• /read auto-detects .pdf files and extracts text via poppler (pdfinfo + pdftotext), consistent with the read_file built-in tool
• /status backend tag and token-count estimate now work for llamafile backends (was Ollama-only)
• Pipeline context-utilization display now works for llamafile via character estimate (was Ollama-only)
• Context utilization hint [ctx: N%] added to spinner label when estimated token usage reaches 50% of the model’s context window
• Routing feedback in spinner: shows @route · model during routed turns when routing is active
• Model provenance recorded in Fountain session header: Model: field now stores NAME (backend) (e.g., QWEN-CODING (llamafile)) for session replay and audit
• Health check on --resume/--continue: session model is extracted before backend selection; a mismatch warning is shown when the resumed model differs from the active backend
• @mention dispatch: routing is tried first when routing is enabled and a route exists; falls back to attemptModelSwitch for local model switching; case-insensitive for both llamafile names and model aliases
• Help system: all 41 help-text constants documented with block comments and reordered into 11 logical groups; ModelHelpText dispatch bug fixed (topic was unreachable via /help model); harvey-model.7.md man page added

Documentation

• Complete rewrite of overview.md with “Natural Language Programming for Scholarly Work” framing
• getting_started.md rewritten llamafile-first with correct Mozilla AI model download URL and startup sequence
• user_manual.md restructured: llamafile-first Model Management section, corrected links, expanded man page index
• CONFIGURATION.md fully updated: all v0.0.14 configuration fields documented (model_aliases, llamafile with context_length, tools, memory with rolling_summary and knowledge_base, rag nesting, syntax_highlight, auto_format); SFTP, HTTP, and AWS environment variables added; complete annotated harvey.yaml example

v0.0.13 (2026-06-19)

New features

• /profile command: top-level alias for /memory profile <list|show|edit|use|rename> — profile management without the /memory prefix
• --resume flag: resumes the most recent session in agents/sessions/ automatically at startup (no path needed); prints a notice if no sessions are found
• Spinner live status: tool calls now show a transient “Calling tool…” status line on the second spinner line while waiting for results; StatusReporter interface added to tool_executor.go so the spinner can be wired to the executor
• assay --llamafile PATH: evaluate a llamafile binary directly; assay starts and stops the process automatically and derives the model name from the binary path
• Added web-developer workspace profile template (templates/profiles/web-developer.fountain)
• HARVEY.md: documented native file-reading capabilities — PDF (via poppler) and image (vision routes) — so models know to call read_file directly without asking the user to convert files

Bug fixes

• S3 remote: improved not-found detection for missing keys and missing buckets; path-style access now correctly enabled for non-AWS S3-compatible endpoints (MinIO, Cloudflare R2)
• MostRecentSession helper added to sessions_files.go; --resume reliably selects the newest .spmd/.fountain file by delegating to ListSessionFiles (already sorted newest-first)
• Llamafile: scanLlamafileModels now discovers binaries by directory scan, fixing cases where auto-discovery missed models not registered via /llamafile add

v0.0.12 (2026-06-17)

New features

• Memory enrichment: added kind field to memory documents classifying why knowledge matters (pitfall/workaround/recommendation/pattern)
• Memory enrichment: added action field — the imperative step a future agent should take; included in embedding text for better semantic retrieval
• Memory enrichment: added confidence field (default 0.5); retrieval scores are weighted multiplicatively (score = cosine × confidence)
• /memory flag <id>: new command reduces confidence by 0.1 per call; auto-archives when confidence falls to or below 0.2
• /memory list: new --kind filter; output now shows kind and confidence columns alongside type
• Miner prompt updated to elicit kind and action for each extracted memory; all five memory types now listed
• WriteDigest(): MemoryStore auto-writes agents/memories/DIGEST.md on every Save, Archive, and MineAuto — plain Markdown readable by any LLM without a SQLite client
• agents/skills/harvey-memory/SKILL.md: new cross-agent skill teaching Vibe and Claude Code when and how to use the memory digest
• Memories database lazily migrated: existing memories.db files gain kind, action, confidence columns on first open; FTS5 table rebuilt with new columns
• Added create_dir built-in tool so models can create directories without run_command mkdir
• Added /safe and /safe_mode as aliases for /safemode
• Unknown slash commands now highlighted in yellow
• Tool result compaction: prior tool-call rounds are compacted in RunToolLoop before each new LLM turn, keeping context bounded during multi-step tasks
• /plan command: generate a GFM checklist plan, execute each step with fresh bounded context, track progress in agents/plan.md
• multi-file skill: auto-detects multi-file creation requests and generates a plan via the compiled script path
• Skill dispatch: HARVEY_API_BASE env var added to compiled script environment
• Skill dispatch: LLM-fallback skills now trigger an LLM response turn instead of silently continuing
• Plan execution: steps with blocked or failed tool calls are no longer auto-marked complete

Bug fixes

• Llamafile: fixed exec format error on macOS (APE binaries now launched via /bin/sh)
• Llamafile: added --server flag for headless mode (llamafile v0.10.3 API change)
• Llamafile: added -ngl GPU layer offload support with gpu_layers config option (default 99, maximises Metal/CUDA)
• Llamafile: startup_timeout config option (default 120s); fast-fail on process exit with stderr surfaced in error
• Llamafile: debug log now wired to new client after /llamafile use model switch
• Skill trigger regex: fixed /pattern/flags format (trailing flag suffix no longer breaks regex mode)
• Skill dispatch: compilation failure now falls back to LLM context-injection path instead of erroring out

v0.0.11 (2026-06-11)

New features

• Added scholarly identifier extraction and normalization for 14 identifier types (DOI, ORCID, ROR, RAiD, ArXiv, FundRef, ISBN, ISSN, ISNI, PMID, PMCID, VIAF, SNAC, LCNAF) via scholarly_identifiers.go and github.com/caltechlibrary/metadatatools
• Added scholarly-aware PDF ingest: papers are chunked by section (abstract, introduction, methods, results, discussion, conclusion, references) and tagged with the document’s own identifiers and any cited works’ identifiers
• Extended the knowledge base schema so observations can record a source DOI and concepts can represent scholarly entities (people, papers, institutions, funders) via an identifier type/value pair
• Workspace onboarding now scans codemeta.json/CITATION.cff for identifiers (e.g. author ORCID iDs, release DOIs) and records them in the project’s project_fact memory metadata

v0.0.10 (2026-06-09)

New features

• Added multi-language code-aware chunking for RAG ingestion (C, C++, Pascal, Oberon, Lisp, Basic)
• Added documentation extraction: comment and docstring association with symbols for C, C++, Pascal, Oberon, Lisp, Basic
• Added ANSI syntax highlighting of code blocks in LLM responses (13 languages: C, C++, Pascal, Oberon, Lisp, Basic, Go, Python, JavaScript, TypeScript, Rust, Shell, SQL); configurable via syntax_highlight in harvey.yaml
• Added automatic code formatting on write_file: built-in formatters for Pascal, Oberon, Basic; external pipe-mode formatters for Go (gofmt), C/C++ (clang-format), Python (black), Rust (rustfmt), JavaScript/TypeScript (prettier); configurable via auto_format in harvey.yaml
• Added /format FILE [FILE...] command to manually format workspace source files in-place

v0.0.9 (2026-06-09)

Added /loop command

v0.0.8 (2026-06-05)

Initial profile template system

• Added /profile use command for workspace profile management
• Added help guides and /status profile display

v0.0.7 (2026-06-02)

New features

assay evaluation harness — a new bin/assay tool for running a prompt corpus against one or more Ollama models and producing a Markdown report plus JSON results for human review and automated checking.

• Corpus defined in YAML (agents/assay/corpus.yaml); each prompt specifies category, language, automated checks (contains, not_contains, compiles, go_vet), and human-review questions
• --rag-db PATH — opens a RAG store and injects retrieved context before each prompt, enabling RAG-assisted evaluation
• --rag-compare — runs each prompt twice (base + RAG) and writes a per-check delta table alongside the main report
• --category NAME — run only one category of prompts (e.g. go-crosswalk)
• Summary table (model × prompts × auto-pass rate × average tok/s) at the top of every report

File attachment commands

• /attach FILE — route-aware file injection: native image (JPEG, PNG, GIF, WebP) for vision-capable routes, text extraction for PDFs, plain-text for source files; not restricted to the workspace
• /read-pdf FILE [PAGES] — extract text from a PDF using poppler utilities (pdfinfo, pdftotext, pdfimages) and inject into context; accepts a page range (e.g. 40-55); cap of 20 pages per call; diagram-only pages are flagged; not restricted to the workspace

Knowledge discoverability

• /hint — on-demand improvement suggestions: flags unmined sessions, empty or disabled RAG stores, and empty knowledge base
• /recall QUERY — alias for /memory recall; searches all three knowledge silos (RAG, memory store, knowledge base) in one call
• /help learn — new unified help topic explaining the three-silo architecture and the single decision rule for where to put each type of content
• Session-start memory digest: on REPL startup Harvey prints dim actionable hints when sessions are unmined, the active RAG store is empty, or RAG is off with chunks present
• Enhanced /status — now includes a Memory/RAG summary block (active memories injected, unmined session count, active RAG store, chunk count, RAG on/off)

Persistent command history — the REPL input history is saved to agents/harvey_history on exit (capped at 1000 entries, most recent kept) and reloaded on the next startup; history is per-workspace to avoid leaking commands and paths between projects.

Bug fixes

• Removed unreachable dead code (cmdRunCtx, extractRunSuggestions) that was missing the safe-mode allowlist check and would have bypassed it had it ever been wired into an execution path
• Help text overview (/help) was missing entries for /attach, /read-pdf, /hint, /memory, /recall, and /pipeline; all are now listed under their appropriate sections
• harvey --help attach, --help read-pdf, and --help learn now work correctly; topic was silently falling through to the unknown-topic error

v0.0.6 (2026-05-30)

New features

Remote protocol integration — Harvey can now read files from remote storage over s3://, http://, https://, sftp://, and scp:// URIs anywhere a local path was accepted (/read, /attach, RAG ingest).

• RemoteReader interface with URI-scheme factory (NewRemoteReader)
• S3-compatible backend via MinIO Go client (AWS S3, MinIO, Cloudflare R2)
• HTTP/HTTPS backend (stdlib net/http); HTTPS→HTTP downgrade protection
• SFTP/SCP backend (golang.org/x/crypto/ssh); strict host-key fingerprint verification required — anonymous connections are refused
• S3 RAG ingest: /rag add s3://bucket/prefix/ ingests objects as RAG docs
• Tab completion extended to remote URI prefixes

Unified memory system

• MemoryConfig is now the single canonical owner of all RAG and knowledge-base configuration; memory.rag: and memory.knowledge_base: replace top-level rag: in harvey.yaml (old format still loaded for backward compatibility)
• Rolling summary: when conversation history exceeds memory.budget_pct (default 25 %) of the model context window, Harvey compresses all but the last six turns into a ~150-token summary with a warning
• Hybrid retrieval: FTS5 lexical fast-path combined with cosine similarity (when an embedder is active); Recent() fallback replaced by relevance ranking
• Session stats: memory_stats table in memories.db tracks token budget, injected tokens, compression events, and average tokens/sec per session
• /memory status now shows budget utilisation and, after ten sessions, prints evidence-based advice to increase or reduce budget_pct
• /memory recall QUERY — on-demand semantic search across all memory types
• Workspace-profile onboarding: on first run Harvey prompts four questions and writes a workspace_profile memory document; no longer asks for workspace name (derived from the directory)

Pipeline support

• /pipeline command and implementation for multi-step prompt pipelines
• Pipeline steps can reference workspace files and inject their output into subsequent steps

Security fixes

• SFTP — OOM prevention: sftpReadPacket now rejects packets larger than 4 MB; sftpReadStr rejects strings larger than 256 KB. A malicious or misconfigured SFTP server could previously trigger a ~4 GB allocation.
• HTTP — response body limit: Get caps the response body at 256 MB via io.LimitReader; responses that hit the cap return an error instead of exhausting process memory.
• HTTP — client timeout: http.Client.Timeout is now 5 minutes, preventing indefinite hangs when a server stalls after accepting the connection.
• Credential filtering: filterCommandEnvironment extended to strip AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY, AWS_SESSION_TOKEN, AWS_SECURITY_TOKEN, MINIO_ACCESS_KEY, MINIO_SECRET_KEY, SFTP_PASSWORD, SFTP_KEY_PATH, HTTP_BEARER_TOKEN, HTTP_BASIC_PASSWORD from child-process environments.

Bug fixes

• Fixed tools-loop processing problem where the model’s tool-call responses were not advancing the conversation correctly
• Fixed write_file tool failure: malformed JSON in model responses no longer silently drops the write; error is surfaced to the user
• Fixed missing help documentation for several commands added in v0.0.5

v0.0.5 (2026-05-17)

• Initial public release
• Terminal REPL with Ollama backend
• Tool calling: read_file, write_file, list_files, run_command, git
• RAG store support (SQLite-backed vector search)
• Knowledge-base integration (/kb commands)
• Session recording to Fountain screenplay format (.spmd)
• Safe mode with command allowlist
• Multi-model routing (/route, @name dispatch)
• Skill dispatch system
• Cross-platform installers (Linux x86-64/aarch64/armv7l, macOS, Windows)